Editing Alpha Financial Markets Consulting plc

== Summary ==

* Quoted on the London Stock Exchange, Alpha Financial Markets Consulting (FMC) is a company that's on a mission to help businesses maximise/improve their profits.
* The company's flagship offering is the provision of consultancy/advisory services. What makes the offering unique is that it's provided by the largest team of financial market industry experts. Evidence suggests that the provision of consultancy services by the largest financial market industry experts team enables financial market companies to make better business decisions, ultimately leading the companies to maximise/improve their profits.
* The expected return of an investment in Alpha FMC over the next five years is ccc%, according to the estimates of Proactive Investors, which equates to an annual return of ccc%. In other words, an £100,000 investment in the company is expected to return £cc in five years time. 
* The degree of risk associated with an investment in Alpha FMC is <nowiki>''medium'</nowiki>, with the shares having an adjusted beta that is 4% above the market (1.04 vs. 1).
* Assuming that a suitable return level over five years is 10% per year, then an investment in the company is considered to be a 'suitable' one.



Is the ultimate objective of the company to focus on 1) asset management, wealth management and insurance industries; 2) financial markets industry (as the name of the company suggest); 3) all industries (i.e. an all industry consultancy company); 4) or something else?

== Operations ==

=== How did the idea of the company come about? ===
In 2003, the idea of Alpha FMC came to Nicholas Kent and Margaret Kent, the now founders of the company, when they developed a strong desire to maximise/improve the profits of the businesses in which they were involved (i.e. financial markets businesses). Researching into how to do that, they realised that one of the best ways is via the provision of consultancy services, in particular financial markets consultancy services. They also realised that there are many company owners and agents that feel the same way as them, with profit maximisation one of the fundamental assumptions of economic (and business) theory. In their quest to maximise the profits of their businesses and the businesses of others, Alpha FMC was born.

=== What's the mission of the company? ===

The mission of the company is to help businesses maximise their profits, in particular by being recognised as the leading global consultancy to the asset management, wealth management and insurance industries.
=== What's the company's main offering(s)? ===

==== Who’s the target audience of the company’s flagship/first product? ====
The audience is companies that operate in the asset management, wealth management and insurance industries.

==== What's a major problem that the target audience experience? ====
A lack of profits/growth.

==== What's a key solution to the problem? ====
The solution is consultancy services. What makes the consultancy services unique is that it's focused on the asset management, wealth management and insurance industries. Research suggests that asset management, wealth management and insurance industries focused consultancy services enable asset managers, wealth managers and insurance companies, respectively, to make better decisions, ultimately leading the companies to improve/maximise their profits.



Client service proposition 

The group’s client proposition can be broadly categorised into three areas: Alpha Financial Markets Consulting, Alpha Technology Services and Alpha Data Solutions. 

Alpha Financial Markets Consulting

The group provides advice to its clients in the asset and wealth management industry based on its sector experience and deep knowledge of the needs of specific industry participants. The group’s financial markets consulting proposition extends to working with clients across the four primary areas of: 

# Strategy and advisory
# Evaluation and selection
# Implementation and execution
# Benchmarking

In each case, these services are delivered across the value chain, which comprises:

# Portfolio optimisation
# Order management
# Pre-trade and post-trade compliance
# Sales, marketing and distribution operating model design
# Client relationship management and engagement
# Regulatory and investment guidance change and other risk management
# Middle and back office outsourcing selection
# Client reporting
# Trade and corporate action processing
# Fund and portfolio accounting
# Custody services

Strategy and Advisory

The group provides its clients with insight into market trends, new products, the regulatory agenda and competitive threats and opportunities. The advice that the group provides allows its clients to make decisions on managing their business and connecting with the market. The group’s consultants are industry specialists, and as part of a global team, are able to provide an international perspective for their clients, giving insight across the value chain.

Evaluation and Selection

The group provides independent and impartial advice to its clients on the choice of technology solutions, outsourcing providers and other partners for their businesses. Using its current knowledge of the market and proprietary benchmarking data, the group is able to provide an up-to-date view of provider capabilities and the best solutions for the specific needs of its clients. The group’s impartial position also enables it to conduct commercial negotiations on behalf of clients and build relationships between these clients and their providers.

Implementation and Execution

For the implementation and execution of complex projects, the group provides clients with professional teams who have specialist hands-on expertise in delivering complex and time critical projects. These projects span the spectrum of front, middle and back office functions.

Benchmarking

The group has developed an extensive library of data and analysis on the asset and wealth management industry, providing benchmarking analysis on comparable costs, operational performance, key performance Indicators and other metrics. This library of benchmarking data is proprietary to the group. Clients are able to benchmark their operational capability and cost profile against other asset managers; if the operational activity is outsourced, they can compare capability and cost profiles against the services provided by third party administrators to other outsourced asset managers.

The studies benchmark core comparison metrics and include:

* Tariff and rate cards;
* Key performance indicators and service performance;
* Service level agreements; and
* Commercial contract items.

Alpha Technology Services 

Through Alpha Technology Services, the group delivers specialist technical expertise to clients in two key areas:

Project Delivery

The group’s specialists include developers or configurators with deep expertise in a particular software platform or range of platforms.

Ongoing Support

Following the implementation of a software platform (for example, the Salesforce.com Client Relationship Management tool), Alpha Technology Services supports clients with the ongoing maintenance, improvement and configuration of the platform. This is typically contracted on an annual basis, providing clients with access to a set number of days of support per week or month, and Alpha with an annuity revenue stream.

Currently, Alpha Technology Services is predominantly focused on servicing the distribution part of the asset and wealth management value chain, but demand is already emerging in other areas, and the group’s strategy is to address the growing area of demand by broadening its technical capabilities accordingly.

Alpha Data Solutions

Following the acquisition of TrackTwo GmbH in July 2017, the company’s new division, Alpha Data Solutions, provides a specialist data offering to asset managers. This data offering, 360 SalesVista, enables asset managers to match client transactions and AUM to create a golden source for client data. This improved visibility and accuracy of customer flows can be used by asset managers to deliver improved business outcomes across distribution, finance and compliance. 

Project portfolio overview

Projects classification

Projects typically span multiple service lines and vary in size, duration and nature. The group undertakes projects across most of the asset and wealth management value chain and these fall into three categories: 

* Major programmes: these typically span more than one financial year, are multi-geography and would be valued in excess of £2 million. There are usually 2 to 5 major programmes running in any year.
* Large programmes: these are typically up to a year in duration, single or multi regions and valued between £1 million and £2 million. There are circa 10 large programmes undertaken in a year.
* Small programmes: these are typically single region, focused programmes valued at less than £1 million. There are usually more than 100 small programmes undertaken in a year.
* The group principally prices its consulting services on a time and materials basis using daily charge out rates, but also uses fixed price contracts on occasions (typically in continental Europe).

Client segments

The group identifies challenges to and provides offerings for a range of clients, including:

Asset Managers

The group has provided services to over 200 clients across the globe, including 17 of the 20 largest global asset managers by AUM and 60% of the top 50 as at 31 March 2017. In addition to traditional asset managers, Alpha also advises insurance-backed and pension-based businesses. The group’s clients cover the whole spectrum of institutional, intermediary and retail asset managers.

Wealth Managers

Alpha works with wealth managers delivering private banking and wealth solutions, discretionary fund management and family office services to end clients. The services provided to these organisations mirror those delivered to traditional asset managers. 

Third Party Administrators 

The group works with the majority of the largest third party administrators, organisations that provide outsourced middle and back office services to the asset and wealth management industry. Alpha supports these organisations with a wide range of services, including sales effectiveness consulting, deal management and target operating model design and implementation. 

Alternative Investment Managers 

Alpha supports a range of clients in the alternative investment space, including private equity houses, alternative fund managers, and traditional asset managers with alternative investment strategies (such as real estate, private equity or other illiquid investments). The services provided to these organisations mirror those delivered to the traditional asset managers.

Other Providers

Finally, Alpha supports a range of other providers to the asset and wealth management industry, including software vendors and data providers. Engagements with these clients include new product development, market reviews and support responding to market requests for proposal.



Key strengths of the Group 

As a leading global consultancy provider to the asset and wealth management industry, the directors believe that Alpha is well-positioned for continued growth in a marketplace shaped by the primary market drivers of an underlying growth in AUM, rising cost pressures, regulatory change and continuing consolidation, all of which are underpinned by technological change in the asset and wealth management industry. The group’s approach is to create value for clients by leveraging its extensive industry knowledge, proprietary database, product expertise and application of technology and digital innovation to deliver a targeted service offering across most of the asset and wealth management value chain from portfolio management through sales, distribution and the middle and back office. This approach allows the group to help its clients improve key aspects of their business. 

The directors believe that Alpha’s strategy, together with the following competitive strengths, distinguish it from its competitors in this marketplace. 

'''Focused industry proposition delivering true expertise''' – Alpha has developed specialised expertise and experience in the asset and wealth management industry. This industry focus enables the group’s professionals to provide offerings on a global basis with a comprehensive understanding of the market, business issues and relevant technologies, and ultimately deliver tailored solutions for each client. 

'''Strong reputation and deep relationships with global clients''' – Alpha has served a large proportion of the world’s largest and most successful asset managers and wealth management companies, including 17 of the 20 largest global asset managers by AUM and 60% of the top 50 as at 31 March 2017. 

'''Broad, diversified and expanding base of clients''' – The group’s business extends to delivering a range of product offerings to global asset managers, wealth managers, asset owners and third party administrators. Revenue is diversified across a growing client base with no single client accounting for more than 10% in the year ended 31 March 2017. 

'''Intellectual property''' – The group combines industry leading consulting expertise with detailed proprietary benchmarking data developed since the creation of the group, which has enabled it to develop trusted, long term relationships with clients. This information is held by the company, preventing the company from becoming dependent on one particular individual or group of individuals. 

'''Alpha’s people and culture''' – The group competes with the largest consultancy companies globally for talent, operating a business in which people are central to the delivery of its growth strategy. Alpha targets both graduates and experienced professionals and has developed a strong culture which attracts high calibre consultants and places people at the heart of the business. Further, Alpha has created an environment in which people are rewarded for both their own contribution and for the success of the business as a whole. The directors believe that Alpha’s reputation is key to attracting those talents. To develop and support high performance, the directors believe that the group has developed a rigorous recruitment process and comprehensive training and development plan, offers a market leading compensation package including profit share arrangements, and has a strong focus on employee wellbeing. This results in Alpha having attained what the directors believe to be an industry leading unmanaged consultant attrition rate of less than 5% in the year ended 31 March 2017. 

'''Strong track record of organic growth''' – Alpha has delivered a consistent record of growth with a revenue CAGR of 37% from £6.71 million for the year ended 31 March 2011 to £43.56 million for the year ended 31 March 2017. This significant revenue growth has been accompanied by a CAGR in adjusted EBITDA of 47% over the same period, reaching £8.55 million for the year ended 31 March 2017. 

'''Proven, experienced high-calibre management team''' – The group benefits from a high-calibre senior management team with substantial and diverse experience, led by Euan Fraser, the group’s Chief Executive Officer. Together, the senior management team has driven the growth and strong financial performance of the business over the past several years and has a proven track record of delivering results. 

Building on the significant growth already achieved in recent years, the directors believe that the group has the potential to capture a significantly larger market share of its chosen markets. The directors believe that the competitive advantages as described above position the group to deliver profitable growth. 



'''Strong balance sheet?'''





=== Which are the main competitors of the product? ===

A key way to determine an offering’s closest competitors is by looking at other offerings that are targeting the same or similar target audience (i.e. financial markets companies) and providing or aiming to provide the same core benefit (i.e. more/maximum business profits, in particular financial markets consultancy), and then ranking the offerings in terms of the total amount of time spent using and/or money spent purchasing the offerings. With that said, we view that the closest competitor of the Alpha FMC offering(s) is Accenture. A detailed comparison between Alpha FMC and its main competitors are shown in the table below.



Alpha operates in a competitive global market and competes with several organisations that offer services similar to those offered by the group. Competitors include the advisory practices of major accounting firms, global consulting firms and boutique consulting businesses. 

The group has been able to successfully compete against these firms by providing specialist expertise to the asset and wealth management industry, and by consistently delivering a high quality service which attracts repeat business and fosters long term relationships. Against the boutique consulting businesses, Alpha is able to differentiate itself through its global offering, relationships with the largest fund managers and reputation for high quality and efficient service. Against the global consulting firms, the group differentiates itself with a specialised industry offering and tailored client solutions. Alpha is able to set itself apart from the advisory practices of major accounting firms through its specialist sector focus and by deploying highly experienced industry consultants to client engagements, who have demonstrable track records of delivering complex projects. This is made possible through the group’s ability to attract and retain high calibre consultants.

'''How does Alpha's fees compare to its peers? What's the financial markets team size of the peers?''' 

=== What is the main way that the company expects to make money? ===

=== What’s the size of the company target market? ===


===Total Addressable Market===
Here, the total addressable market (TAM) is defined as the global consultancy market, and based on a number of assumptions, it is estimated that the size of the market as of today (23rd January 2023), in terms of revenue, is $590 billion<ref>0.61% of global GDP.</ref>.
===Serviceable Available Market===
The serviceable available market (SAM) is defined as the global asset management, wealth management and insurance consultancy market, and based on a number of assumptions, it is estimated that the size of the market as of today (23rd January 2023), in terms of revenue, is $59 billion<ref>=10% of the global consultancy market.</ref>.





The asset and wealth management industry has grown significantly since 2008, with global aggregate assets under management standing at approximately $69.1 trillion at the end of 2016, compared to $38.5 trillion at the end of 2008. 

Whilst overall AUM is growing, the asset and wealth management industry is experiencing challenges stemming from regulatory changes and cost pressures from the regulators and end clients. These factors are driving an increased focus by asset and wealth managers on improving systems, data quality and operational processes, in order to gain a competitive advantage, generate above average returns and reduce costs. This in turn has helped drive demand for the management consulting services provided to the asset and wealth management industry, across the spectrum of front, middle and back office functions. 

The industry is subject to a wide range of regulatory and risk management considerations, which the directors believe will continue to drive growth in consulting services. In addition to the ever more demanding regulatory environment, the industry is having to react to requests from institutional and retail customers for greater transparency in reporting, engagement and accountability, which in turn is driving a growth in demand for more effective data systems and processes. 

The pressure on margins within the asset and wealth management industry has also resulted in significant consolidation in recent years, as fund managers seek to increase assets under management, drive synergies and ultimately generate better returns through mergers and acquisitions (“M&A”). 

The value of global M&A deals completed in the sector totalled approximately $34.9 billion in 2015 and $71.3 billion in 2016, with many market commentators expecting continued consolidation through M&A in the asset and wealth management industry in the near future. This has created substantial opportunities and areas of growth for Alpha as it continues to provide M&A integration, operational and outsourcing consultancy services to increasingly larger and more complex fund managers.

===Serviceable Obtainable Market===
Here, the serviceable obtainable market (SOM) is defined as the United Kingdom asset management, wealth management and insurance consultancy market, and based on a number of assumptions, it is estimated that the size of the market as of today (23rd January 2023), in terms of revenue, is $2.17 billion<ref>= UK GDP x consultancy as a proportion of GDP x financial services as a proportion of GDP

= $3.131 trillion x 0.84% x 8.3%.</ref>.

=== What are the main achievements of the company? ===

* Worked with all of the world's top 20 and 80% of the world's top 50 asset managers (in terms of asset under management), along with a wide range of other buy-side companies.
* The company has the largest dedicated team in the industry, with in excess of 900 consultants, globally.
* It operates from 16 client-facing offices, across the United Kingdom, North America, Europe and APAC.



=== What's the business strategy of the company? ===
The group’s strategy is to continue to grow in both existing and new jurisdictions. The group has a strong track record of EBITDA growth and intends to further grow its business in the following ways: 

'''Expand existing services in existing markets''' – The group currently serves clients in multiple countries and the directors consider that there is substantial scope to grow within these markets. In addition to winning new clients, the group also aims to grow by extending the services delivered to existing clients, or by serving other client group entities. 

'''Expand existing services into new jurisdictions''' – The group currently serves clients from its offices in the UK, France, the US, Luxembourg, Switzerland, the Netherlands and Singapore. The group will seek to extend its international reach to cover new jurisdictions and is considering new offices in Germany, Switzerland and Hong Kong over the coming years. 

'''Adding new services to deliver to existing and new clients''' – The group will continue to evaluate market demand for new services, products and propositions to deliver to both existing and new clients in both existing and new jurisdictions. This assessment will take place at a local level and any new opportunities for such services shared globally across the group. 

'''Make selective acquisitions''' – In addition to organic growth, the group will consider small scale acquisitions of consulting businesses, technology and intellectual property, to deepen, enhance or extend the group’s existing capabilities and the range of products and services offered to its clients. 

'''Extend into new sectors within the financial services industry''' – The directors believe that the business model that has been successfully deployed in the asset and wealth management industry can be applied to new sectors within the financial services industry which exhibit similar industry characteristics such as (i) high regulatory oversight, (ii) a focus on operating model and technology change, (iii) changing end-client dynamics, and (iv) a familiar competitive landscape. In the medium term, Alpha will seek to develop a market leading proposition in industries which meet the above criteria. Of these, the directors currently believe the insurance industry is the most attractive area in which the company may look to expand, having already delivered some services in the space at the request of its clients (many of whom have insurance parents) and is exploring making relevant specialist hires into a separate pool of resource to support growth in this area.

=== Who are the key members of the team? ===
The company is led by the person who believes in the mission of the company the most: the creator of the company mission (i.e. ccc). Between them, the members of the team have helped companies raise a significant amount of finance and build some of the world's most renowned digital platforms.

==== Executive ====

===== Global Chief Executive Officer: Euan Fraser =====
Euan has served as Global Chief Executive Officer of Alpha since 2013. During this period, the business has increased EBITDA almost seven-fold, and he has led the Group through two private equity transitions and a public listing on the London Stock Exchange’s AIM in 2017. Euan was previously Chief Executive Officer of Alpha UK, starting in April 2011, where he established both Alpha’s M&A Integration and Operations & Outsourcing practices. He joined Alpha in 2004 and has over 20 years’ financial services experience, having worked at Merrill Lynch and KPMG, where he qualified as a chartered accountant.

Euan keeps the skills to support and deliver the Group’s strategy up to date through his role as Chief Executive Officer of a global consulting firm operating within the financial services sector. In this role, Euan has to understand and manage the interests of a range of stakeholders, including employees, clients, competitors and investors. Euan maintains a number of strong industry relationships that involve sharing of knowledge and perspectives.

===== Global Chief Financial Officer: John Paton =====
John is a chartered accountant with 23 years of corporate finance, banking and audit experience. He joined from HSBC where he was a Director in the UK Mid-Market Advisory team (2007-12), the Corporate Origination team (2012-16) and latterly, the UK Banking team (2016-2018). Over his 11 year tenure he advised on a variety of M&A transactions and led loan financings for UK corporates. Prior to this he spent more than five years at MacArthur & Co. focusing on capital raisings including AIM IPOs. John started his career at KPMG, where he spent nearly seven years, working across financial services audit and risk management with exposure to financial reporting requirements, governance, risk & internal controls and systems’ implementation. He is a member of the Institute of Chartered Accountants of Scotland, graduated LLB (Hons) from the University of Aberdeen and holds an Executive MBA from the University of Bristol & École Nationale des Ponts & Chaussées, France. John joined Alpha in February 2018.

===== Global Chief Commercial Officer: Nick Fienberg =====
Nick has 15 years of experience consulting in the financial services, and in particular the capital markets sector. Specialising in asset management outsourcing, he has worked with a wide range of clients on advisory and implementation roles covering large scale outsourcing and organisational change initiatives, strategic business studies and market trend analysis.

===== Global Chief Operating Officer: Sarah Peacock =====
Sarah is Alpha’s Global Chief Operating Officer. She joined Alpha in 2008. Before moving into business operations, she spent over 10 years in asset and wealth management consulting with experience performing both project management and functional roles, and working extensively on implementation and business transformation projects. As COO, Sarah is responsible for overseeing operations functions globally including IT & infrastructure, data privacy, people and talent management, service delivery and knowledge management.

===== Global Head - Aiviq: Lee Griggs =====
Lee is the Global Head of Aiviq. Lee has a record of international business building with over 20 years experience, providing market leading enterprise and SaaS solutions to leading financial institutions. Lee has extensive knowledge of strategy creation, execution and expansion and has a proven track record in business development, process management and organisational optimisation.

===== Global Chief Client Officer and Head of UK - Asset & Wealth Management Consulting: Stuart McNulty =====
Stuart is the Global Chief Client Officer & Head of UK for Asset & Wealth Management Consulting at Alpha. Stuart began his career at Accenture, where he specialised in the capital markets sector, leading projects ranging from system implementations to process change initiatives. Stuart then moved to J.P. Morgan, where he ran strategic projects within the credit exotics and hybrids middle office team, before joining Alpha in 2007. Since then, Stuart has worked on a wide variety of asset management projects, including new product development, competitive analysis, rate card reviews and large-scale onboarding programmes.

Stuart holds a First Class honours degree in Computer Science from the University of Sheffield.

Head of North America - Asset & Wealth Management Consulting: Joe Morant

Joe is Head of North America for Asset & Wealth Management Consulting at Alpha. Prior to joining Alpha Joe held operations and technology leadership roles at Nuveen Investments and BNY Mellon Asset Management. Joe has also held executive management positions at several service provider and consulting firms. Joe has worked extensively across the US and Europe, consulting to a range of leading asset managers. He has a breadth of experience across all aspects of the asset management business ranging from major change programs to corporate strategy and operating model definition.

Global Head of Innovation - Asset & Wealth Management Consulting: Neil Curham

Neil joined Alpha in April 2011 as a result of the acquisition of Tomtom Consultants. Neil established Tomtom Consultants in 2005 to become the leading consultant to distribution in investment management.

Neil has fifteen years experience working within investment management distribution and has more than eight years consultancy experience. During this time, Neil has assisted with business, operational and technical strategy addressing areas such as service proposition, client relationship management, client communications, marketing automation and web delivery.

Executive Director and Global Head of Distribution - Asset & Wealth Management Consulting: Mike Smith

Mike has over 20 years’ consulting experience and is an Executive Director and the Global Head of Alpha’s Distribution Practice, advising Asset Managers globally across their Sales, Marketing, Client Service and Product functions. Mike specialises in Distribution Transformation, including Strategy, Operating Models, Process Optimisation, Distribution Technology, Client Experience, Distribution Data & Analytics.  

==== Board ====

===== Independent Non-Executive Chairman: Ken Fry N (Chair), A, R =====
Ken joined the Alpha Board in 2016, following almost 10 years as the Global Chief Operating Officer at Aberdeen Asset Management. He was appointed the Board’s Non-Executive Chairman in February 2018. Ken has over 27 years’ experience in financial services, and has considerable experience integrating acquisitions within the investment management industry. Ken has a strong technology and operations background, and has undertaken a number of transformational projects during his career. He directed the integration of many major acquisitions while at Aberdeen Asset Management, including assets acquired from Deutsche Asset Management, Credit Suisse Asset Management and Scottish Widows Investment Partners.

Ken keeps the skills to support and deliver the Group’s strategy up to date by maintaining a wide network of contacts within investment management globally. He regularly attends conferences and discussion forums to keep abreast of industry issues and meets with both clients and investors. He also advises on M&A strategy within the investment management industry.

===== Global Chief Executive Officer: Euan Fraser =====
For the profile, see the 'executive' team section of this report, above.

===== Global Chief Financial Officer: John Paton =====
For the profile, see the 'executive' team section of this report, above.

===== Non-Executive Director: Penny Judd R (Chair), A, N =====
Penny joined the Alpha Board as a Non-Executive Director in February 2018, having previously held the roles of Managing Director and EMEA Head of Compliance at both Nomura International plc and UBS AG. Penny has a strong public markets and financial services background, with over 30 years’ experience in compliance, regulation, corporate finance and audit. She is also a chartered accountant and is currently Non-Executive Director and Chair of Audit Committee for both Trufin plc and Team17 Group plc.

Penny keeps the skills to support and deliver the Group’s strategy up to date through her experience gained on other listed company boards, while also maintaining a wide network of contacts in financial services and regulation. She attends various conferences and events covering relevant industry and governance matters, and meets with a range of advisers and institutional investors in AIM and main market companies.

===== Independent Non-Executive Director: Jill May A, N, R =====
Jill joined the Alpha Board as a Non-Executive Director in July 2020. She has over 20 years’ experience in investment banking, with her executive career spent working in corporate finance for SG Warburg & Co. Ltd from 1985 to 1995, and senior positions in Group Strategy at UBS where she was a Managing Director from 2001 to 2012.

She was a Panel Member from 2013 to 2018 and a Non-Executive Director from 2013 to 2016 of the Competition and Markets Authority (CMA), and a Non-Executive Director of the Institute of Chartered Accountants in England and Wales (ICAEW) from 2015 to 2019.

Jill is currently an External Member of the Prudential Regulation Committee at the Bank of England. Her current listed company experience includes her roles as Non-Executive Director of Standard Life Investments Property Income Trust Limited, JP Morgan Claverhouse Investment Trust plc and Ruffer Investment Company Limited.

===== Non-Executive Director: Maeve Byrne A (Chair), N, R =====
Maeve is a Fellow of the Institute of Chartered Accountants in Ireland and has over 30 years’ experience in Financial Services.

She started her career as an auditor with KPMG Ireland and worked in several other KPMG international offices in Europe and North America. Within KPMG, Maeve moved from Audit to Transaction Services where she was a Financial Services Partner from 2002 to 2014. From 2010 to 2013, Maeve was seconded to Royal Bank of Scotland and the Non-Core Division where she was CFO and a member of the Group Finance Board & Risk and Control Committee. From 2014 to 2017, she held senior executive roles at the Royal Bank of Scotland in Capital Resolutions Group and Williams & Glyn.

Since 2017, Maeve has focused on transformation services, offering Board advisory services as an independent consultant. She has worked with Financial Services companies including Santander and clients in the Fintech/Neo bank space.

=== How much does the company expect to make over the next five years? ===
*Most recent full-year results
**Profit and loss
***Non-adjusted
****In the 12-months period ended 31st March 2022, revenue increased by 61.1% to £158.0 million (FY21: £98.1 million), driven almost entirely by net fee income (99.9%).
****Gross profit increased by 70.4% to 59.4 million (FY21: 34.8 million).
****Profit before tax increased by 65.9% to £14.9 million (FY21: £9.0 million).
****Basic earnings per share increased by 33.7% to 7.69p (FY21: 5.75p).
***Adjusted
****On a like-for-like basis (i.e. excluding the acquisition of Lionpoint), revenue increased by 31.3% to £ccc million (FY22: £ccc million).
****Adjusted EBITDA increased by 56.0% to £33.9 million (FY21: £21.7 million).
****Adjusted profit before tax increased by 62.2% to £31.8 million (FY21: £19.6 million).
****Adjusted earnings per share increased by 43.9% to 21.46p (FY21: 14.91p)
** Balance sheet
***Net current assets
****Net current assets increased by 21.5% to £27.2 million (FY21: £22.4 million).
***Cash
****Cash increased by 86.7% to £63.5 million (FY21: £34.0 million).
***Net assets
****Net assets increased by 40.7% to £132.7 million (FY21: £94.4 million).
***Debt
****No debt.
***Net debt
****Net cash increased by 86.7% to £63.5 million (FY21: £34.0 million).
**Cash flow
***CFO
****Non-adjusted
*****Net cash generated from operating activities increased by 59.3% to £33.5 million (FY21: £21.0 million).
****Adjusted
*****Adjusted cash generated from operating activities ccc by ccc% to £ccc million (FY21: £ccc million).
***CIO
****Net cash used from investing activities increased by 8x to £24.5 million (FY21: £2.9 million).
***CFO
****Net cash from financing activities switched to using £20.0 million (FY21: £8.5 million).
****Final dividend increased by 55% to 7.50p per share (FY21: 4.85p).
*Most recent interims
**Profit and loss
***Non-adjusted
****In the six month period ended 30th September 2022, revenue increased by 57.3% to £107.6 million (H1 FY22: £68.4 million), driven almost entirely by higher net fee income (net fee income accounts for 99.4% of revenue), in particular from the North America region (the North America region accounts for 41.4% of net fee income). Net fee income jumped by 56.5% to £107.0 million (H1 FY22: £68.4 million).
****The number of client relationships increased by 19% to 787 clients (H1 22: 662), boosted by both new clients wins and client retention.
****Gross profit increased by 45.3% to £38.4 million (H1 FY22: £26.5 million), equating to a gross profit margin of 35.9% (H1 FY22: ccc%).
****The number of consultants increased by 40.4% to 921 consultants (H1 FY22: 656 consultants), driven by client demand. The director headcount increased by 11% to 97 directors (H1 FY22: 88 directors).
****Profit before tax increased by 235.6% to £14.2 million (H1 22: £4.2 million).
****Basic earnings per share increased by 10x to 9.10p (H1 22: 0.87p).
***Adjusted
****On a like-for-like basis (i.e. excluding the acquisition of Lionpoint), revenue increased by £ccc million (H1 22: £ccc million). Net fee income increased by 45.3% to £ccc million (H1 22: £ccc million).
****Adjusted EBITDA increased by 45.6% to £22.5 million (H1 FY22: £15.4 million), equating to a margin of 21.5% (H1 FY22: 22.6%). 
****Adjusted profit before tax increased by 47.2% to £21.3 million (H1 22: £14.4 million).
****Adjusted earnings per share increased by 43.0% to 14.09p (H1 22: 9.85p).
** Balance sheet
***Net current assets
****Net current assets decreased by 32.0% to £18.5 million (H2 22: £27.2 million).
***Cash
****Cash decreased by 24.7% to £47.8 million (H2 22: £63.5 million).
***Net assets
****Net assets increased by 11.4% to £147.9 million (H2 22: £132.7 million).
***Debt
****Debt increased to £7.5 million (H2 22: nil). The company has access to a £20.0m revolving credit facility ("RCF"), enabling the company to further improve its liquidity if required.
***Net debt
****Net cash decreased by 36.5% to £40.3 million (H2 22: £63.5 million).
**Cash flow
*** CFO
****Non-adjusted
*****Net cash generated from operating activities decreased by 63.3% to £2.2 million (H1 FY22: £6.0 million) as the improved profits were outweighed by higher working capital requirements.
****Adjusted
*****Adjusted cash generated from operating activities decreased by 50.6% to £4.2 million (H1 FY22: £8.5 million).
***CIO
****Net cash used from investing activities decreased by 10.4% to £21.5 million (H1 FY22: £24.0 million). A significant portion of the cash (96%) was used to pay for the (Lionpoint) acquisition.
***CFO
****Net cash from financing activities switched to using £3.3 million (H1 FY22: £23.8 million), mainly because no new shares were issued during the period. 
****Interim dividend increased by 27.6% to 3.70p per share (H1 FY22: 2.90p).
**Other
***The company added that in-line with its strategic objectives, it will continue to focus on growing the business through the deepening of its service offering and through geographic expansion.
***The company added that its confident in the outlook of the second half of the current financial year and beyond.

==== What are the financials? ====
{| class="wikitable"
|+Financial performance
!Year end  31 March (£000's)
!2019
!2020
!2021
!2022
!2023e
!2024e
|-
|
|
|
|
|
|
|
|-
|Revenue
|77,661
|90,901
|98,066
|158,005
|
|
|-
|Rechargeable expenses
|(1,701)
|(1,977)
|(112)
|(196)
|
|
|-
|Net fee income
|75,960
|88,924
|97,954
|157,809
|196,846
|209,496
|-
|Cost of sales
|(46,878)
|(54,521)
|(63,130)
|(98,452)
|(125,390)
|(133,372)
|-
|Gross profit
|29,082
|34,403
|34,824
|59,357
|71,456
|76,124
|-
|Gross margin (%)
|38.3
|38.7
|35.6
|37.6
|36.3
|36.3
|-
|Administration expenses  (underlying)
|(12,867)
|(15,605)
|(14,815)
|(27,200)
|(34,000)
|(36,380)
|-
|Adjusted operating profit
|16,215
|18,798
|20,009
|32,157
|37,456
|39,744
|-
|Adjusted operating margin (%)
|21.3
|21.1
|20.4
|20.4
|19.0
|19.0
|-
|Amortisation of acquired  intangible assets
|(2,586)
|(3,376)
|(3,517)
|(4,716)
|(4,500)
|(4,500)
|-
|Loss on disposal of fixed  assets
|(6)
|(11)
|(13)
|(32)
|0
|0
|-
|Share-based payments charge
|(872)
|(1,307)
|(2,496)
|(6,218)
|(8,000)
|(6,000)
|-
|Earn-out and deferred  consideration
|(295)
|(2,761)
|(3,606)
|(1,423)
|(3,862)
|(6,158)
|-
|Acquisition costs
|0
|(488)
|0
|(683)
|0
|0
|-
|Integration costs
|0
|(509)
|(107)
|0
|0
|0
|-
|Foreign exchange  losses/(gains)
|116
|80
|(94)
|(1,310)
|0
|0
|-
|Adjusting items
|(3,643)
|(8,372)
|(9,833)
|(14,382)
|(16,362)
|(15,668)
|-
|Operating profit
|12,572
|10,426
|10,176
|17,775
|21,094
|24,076
|-
|
|
|
|
|
|
|
|-
|
|
|
|
|
|
|
|-
|Depreciation
|263
|1,022
|1,085
|1,155
|1,800
|1,890
|-
|Amortisation of capitalised  development costs
|0
|428
|613
|556
|300
|300
|-
|Adjusting items
|3,643
|8,372
|9,833
|14,382
|16,362
|15,668
|-
|Adjusted EBITDA
|16,478
|20,248
|21,707
|33,868
|39,556
|41,934
|-
|Adjusted EBITDA margin (%)
|21.7
|22.8
|22.2
|21.5
|20.1
|20.0
|-
|
|
|
|
|
|
|
|-
|
|
|
|
|
|
|
|-
|Finance income
|0
|1
|0
|1
|150
|200
|-
|Finance expense
|(52)
|(182)
|(404)
|(406)
|(400)
|(400)
|-
|Adjusted profit before tax
|16,163
|18,617
|19,605
|31,752
|37,206
|39,544
|-
|Normalised taxation
|(3,923)
|(4,269)
|(4,500)
|(7,994)
|(9,673)
|(10,875)
|-
|Adjusted profit after tax
|12,240
|14,348
|15,105
|23,758
|27,532
|28,670
|-
|Adjusting items
|(3,643)
|(8,372)
|(9,833)
|(14,382)
|(16,362)
|(15,668)
|-
|Non-underlying finance  expenses
|0
|(951)
|(803)
|(2,488)
|0
|0
|-
|Tax impact of adjusting items
|602
|1,142
|1,358
|1,624
|0
|0
|-
|Profit for the year
|9,199
|6,167
|5,827
|8,512
|11,170
|13,002
|-
|Exch differences on  translation of foreign operations
|2,505
|1,311
|(3,104)
|3,180
|0
|0
|-
|Total comprehensive  income/(expense) for the year
|11,704
|7,478
|2,723
|11,692
|11,170
|13,002
|-
|
|
|
|
|
|
|
|-
|Adjusted profit after tax
|12,240
|14,348
|15,105
|23,758
|27,532
|28,670
|-
|Weighted average number of  shares
|101.6
|101.0
|101.3
|110.7
|115.7
|118.6
|-
|Wtd ave number of shares incl  potentially dilutive
|104.0
|105.3
|105.9
|117.4
|123.0
|125.9
|-
|
|
|
|
|
|
|
|-
|Basic earnings per ordinary  share (p)
|9.05
|6.11
|5.75
|7.69
|
|
|-
|Diluted earnings per ordinary  share (p)
|8.84
|5.85
|5.50
|7.25
|
|
|-
|
|
|
|
|
|
|
|-
|Adjusted earnings per ordinary  share (p)
|12.05
|14.21
|14.91
|21.46
|23.80
|24.18
|-
|Adjusted diluted earnings per  ordinary share (p)
|11.77
|13.62
|14.26
|20.23
|22.39
|22.78
|}
{| class="wikitable"
|+
!
!31st March 2019
!31st March 2020
!31st March 2021
!31st March 2022
|-
|Cash
|(18,581)
|(25,996)
|(34,012)
|(63,516)
|-
|Short-term debt
|0
|5,000
|0
|0
|-
|Long-term debt
|0
|0
|0
|0
|-
|Net bank debt
|(18,581)
|(20,996)
|(34,012)
|(63,516)
|-
|Short-term leases
|0
|791
|514
|1,134
|-
|Long-term leases
|0
|1,878
|1,379
|1,275
|-
|Earnouts & deferred cons ST
|0
|3,699
|1,992
|20,500
|-
|Earnouts & deferred cons LT
|486
|6,864
|9,071
|20,146
|-
|Total net debt/(cash)
|(18,095)
|(7,764)
|(21,056)
|(20,461)
|-
|Net assets
|89,140
|91,386
|94,356
|124,537
|-
|Capital employed
|71,045
|83,622
|73,300
|104,076
|-
|Net debt/equity (%)
|(20)
|(8)
|(22)
|1
|}


{| class="wikitable"
|+
!Year end  31 March (£000's)
!2021
!2022
!2023e
!2024e
|-
|Cash flows from operating  activities:
|
|
|
|
|-
|Operating profit for the  period
|10,176
|17,775
|21,094
|24,076
|-
|Depreciation of property,  plant and equipment
|1,085
|1,155
|1,800
|1,890
|-
|Loss on disposal of fixed  assets
|13
|32
|0
|0
|-
|Amortisation of intangible  fixed assets
|4,130
|5,272
|4,800
|4,800
|-
|Acquisition related costs
|0
|0
|0
|0
|-
|Share-based payment charge
|1,693
|4,075
|8,000
|6,000
|-
|Increase in provisions
|0
|1,302
|0
|0
|-
|Foreign exchange gain on cash  and cash equivalents
|0
|0
|0
|0
|-
|Operating cash flows before  movements in working capital
|17,097
|29,611
|35,694
|36,766
|-
|Working capital adjustments:
|
|
|
|
|-
|(Increase)/decrease in trade  and other receivables
|3,221
|(7,066)
|(6,500)
|(5,918)
|-
|Increase/(decrease) in trade  and other payables
|6,424
|15,729
|4,000
|5,507
|-
|Tax paid
|(5,707)
|(4,767)
|(8,834)
|(10,274)
|-
|Net cash generated from  operating activities
|21,035
|33,507
|24,360
|26,082
|-
|Cash flows from investing  activities:
|
|
|
|
|-
|Interest received
|0
|1
|65
|200
|-
|Acquisition of subsidiary, net  of acquired cash
|(2,752)
|(23,796)
|(20,716)
|(20,000)
|-
|Capitalised development costs
|0
|0
|0
|0
|-
|Additions to property, plant  and equipment
|(151)
|(684)
|(700)
|(500)
|-
|Purchase of intangible assets
|0
|0
|(319)
|0
|-
|Net cash used in investing  activities
|(2,903)
|(24,479)
|(21,670)
|(20,300)
|-
|Cash flows from financing  activities:
|
|
|
|
|-
|Issue of ordinary share  capital
|0
|31,102
|0
|0
|-
|Share issuance costs
|0
|(1,053)
|0
|0
|-
|Net settlement of vested share  options
|0
|0
|(322)
|0
|-
|Purchase of own shares by the  employee benefit trust
|0
|(205)
|(1,129)
|0
|-
|Repayment of borrowings
|(5,000)
|0
|0
|0
|-
|Drawdown of bank borrowings
|0
|0
|0
|0
|-
|Interest and bank loan fees
|(486)
|(285)
|(300)
|(300)
|-
|Principal lease liability  payments
|(809)
|(814)
|(1,300)
|(1,430)
|-
|Interest on lease liabilities
|(102)
|(111)
|(113)
|(119)
|-
|Dividends paid
|(2,136)
|(8,678)
|(12,747)
|(14,021)
|-
|Net cash used in financing  activities
|(8,533)
|19,956
|(15,911)
|(15,870)
|-
|
|
|
|
|
|-
|Net increase/(decrease) in  cash and cash equivalents
|9,599
|28,984
|(13,221)
|(10,088)
|-
|Cash and cash equivalents at  beginning of the period
|25,996
|34,012
|63,516
|50,295
|-
|Effect of exchange rate  fluctuations on cash held
|(1,583)
|520
|0
|0
|-
|Cash and cash equivalents at  end of the period
|34,012
|63,516
|50,295
|40,207
|}


{| class="wikitable"
|+Financials
|-
!Year 
!'''1'''
!'''2'''
!'''3'''
!'''4'''
!5 !!6!!7!!8!!9
!10
!11
!12
!13
!14
!15
!16
!17
!18
!19
!20
!21
!22
!23
!24
!25
!26
!27
!28
!29
!30
!31
!32
!33
!34
!35
!36
!37
!38
!39
!40
!41
!42
!43
!44
!45
!46
!47
!48
!49
!50
|-
|'''Year end date'''
|'''31/12/2018'''
|'''31/12/2019'''
|'''31/12/2020'''
|'''31/12/2021'''||'''31/12/2022'''||'''31/12/2023'''||'''31/12/2024'''||'''31/12/2025'''||'''31/12/2026'''
|'''31/12/2027'''
|'''31/12/2028'''
|'''31/12/2029'''
|'''31/12/2030'''
|'''31/12/2031'''
|'''31/12/2032'''
|'''31/12/2033'''
|'''31/12/2034'''
|'''31/12/2035'''
|'''31/12/2036'''
|'''31/12/2037'''
|'''31/12/2038'''
|'''31/12/2039'''
|'''31/12/2040'''
|'''31/12/2041'''
|'''31/12/2042'''
|'''31/12/2043'''
|'''31/12/2044'''
|'''31/12/2045'''
|'''31/12/2046'''
|'''31/12/2047'''
|'''31/12/2048'''
|'''31/12/2049'''
|'''31/12/2050'''
|'''31/12/2051'''
|'''31/12/2052'''
|'''31/12/2053'''
|'''31/12/2054'''
|'''31/12/2055'''
|'''31/12/2056'''
|'''31/12/2057'''
|'''31/12/2058'''
|'''31/12/2059'''
|'''31/12/2060'''
|'''31/12/2061'''
|'''31/12/2062'''
|'''31/12/2063'''
|'''31/12/2064'''
|'''31/12/2065'''
|'''31/12/2066'''
|'''31/12/2067'''
|-
|'''Type'''
|'''Historic'''
|'''Historic'''
|'''Historic'''
|'''Historic'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|'''Forecast'''
|-
| colspan="45" |<div style="text-align: center;">'''Income statement'''</div>
|
|
|
|
|
|
|-
|Revenues (£'000)
|NA
|4
|1,147
|538|| 1,801||3,534||6,711||12,327||21,906
|37,665
|62,654
|100,833
|157,000
|236,506
|344,688
|486,019
|663,015
|875,059
|1,117,362
|1,380,364
|1,649,821
|1,907,756
|2,134,284
|2,310,068
|2,419,025
|2,450,751
|2,402,156
|2,277,961
|2,089,943
|1,855,094
|1,593,091
|1,323,605
|1,063,945
|827,415
|622,545
|453,170
|319,150
|217,456
|143,348
|91,423
|56,411
|33,675
|19,449
|10,868
|5,875
|3,073
|1,555
|761
|361
|165
|-
|Gross profits (£'000)
|NA
|(763)
|408
|(266)
|1,351||2,651||5,033||9,245||16,430 
|28,249
|46,990
|75,625
|117,750
|177,379
|224,047
|364,514
|497,262
|656,294
|726,285
|897,237
|907,401
|1,049,266
|1,173,856
|1,270,537
|1,330,464
|1,347,913
|1,321,186
|1,252,878
|1,149,469
|1,020,302
|716,891
|595,622
|478,775
|372,337
|280,145
|203,926
|143,617
|97,855
|64,506
|41,140
|25,385
|15,154
|8,752
|4,890
|2,644
|1,383
|700
|343
|162
|74
|-
|Operating profits (£'000)
|NA
|(687)
|(2,819)
|(10,814)||1,081||2,121||4,026||7,396||13,144
|22,599
|37,592
|60,500
|94,200
|141,904
|172,344
|291,611
|397,809
|525,035
|558,681
|690,182
|659,928
|763,103
|853,714
|924,027
|967,610
|980,300
|960,862
|911,184
|835,977
|742,038
|477,927
|397,081
|319,184
|248,224
|186,763
|135,951
|95,745
|65,237
|43,004
|27,427
|16,923
|10,103
|5,835
|3,260
|1,763
|922
|466
|228
|108
|50
|-
|Net profits (£'000)
|NA
|(551)
|(2,964)
|(12,487)||1,081||2,121||4,026||7,396|| 13,144
|22,599
|37,592
|60,500
|94,200
|141,904
|151,663
|256,618
|350,072
|462,031
|491,639
|607,360
|580,737
|671,530
|751,268
|813,144
|851,497
|862,664
|845,559
|801,842
|735,660
|652,993
|420,576
|349,432
|280,881
|218,437
|164,352
|119,637
|84,256
|57,408
|37,844
|24,136
|14,892
|8,890
|5,135
|2,869
|1,551
|811
|410
|201
|95
|44
|}

==== What are the assumptions used to estimate the financial forecasts?====

{| class="wikitable"
|+Key inputs
!Description
!Value
!Commentary
|-
| colspan="3" | <div style="text-align: center;">'''Revenue'''</div>
|-
|What's the estimated current size of the total addressable market?
|$590,000,000,000
|Here, the total addressable market (TAM) is defined as the global consultancy market, and based on a number of assumptions, it is estimated that the size of the market as of today (27th January 2023), in terms of revenue, is $590 billion.
|-
|What is the estimated company lifespan?
|50 years
|Research shows that the average lifespan of a large corporation is around 50 years.<ref>Stadler, Enduring Success, 3–5.</ref>
|-
|What's the estimated annual growth rate of the total addressable market over the lifecycle of the company?
|3%
|Research shows that the growth rate of the global consultancy market (i.e. the total addressable market) is similar to the growth rate of global gross domestic product, which has averaged (medium) around 3% per year in the last 20 years (2001 to 2022)<ref>https://www.macrotrends.net/countries/WLD/world/gdp-growth-rate</ref>.
|-
|What's the estimated company peak market share?
|1%
|We estimate that especially given the experienced team of the company, the peak market share of Alpha FMC is around 1%, and, therefore, suggests using the share amount here. As of 30th September 2022, Alpha FMC's current share of the market is 0.033%.
|-
|Which distribution function do you want to use to estimate company revenue?
|Gaussian 
|Research suggests that the revenue pattern of companies is similar to the pattern produced by the Gaussian distribution function  (i.e. the revenue distribution is bell shaped)<ref>http://escml.umd.edu/Papers/ObsCPMT.pdf</ref>, so we suggest using that function here.
|-
|What's the estimated standard deviation of company revenue?
| 5.5 years
|Another way of asking this question is this way: within how many years either side of the mean does 68% of revenue occur? Based on Alpha FMC's current revenue amount (i.e. $250 million) and Alpha FMC's estimated lifespan (i.e. 50 years) and Alpha FMC's estimated current stage of its lifecycle (i.e. growth stage), the we suggest using five and a half years (i.e. 68% of all sales happen within five and a half years either side of the mean year), so that's what's used here.
|-
| colspan="3" |'''<div style="text-align: center;">Growth stages</div>'''
|-
|How many main stages of growth is the company expected to go through?
| 4 stages
|Research suggests that a company typically goes through four distinct stages of cash flow growth.<ref>Levie J, Lichtenstein BB (2010) A terminal assessment of stages theory: Introducing a dynamic approach to entrepreneurship. Entrepreneurship: Theory & Practice 34(2): 317–350. <nowiki>https://doi.org/10.1111/j.1540-6520.2010.00377.x</nowiki></ref> Research also shows that incorporating those stages into the discounted cash flow model improves the quality of the model and, ultimately, the quality of the value estimation.<ref>Stef Hinfelaar et al.:, 2019.</ref> In addition, research shows that a key way to determine the stage which a company is in is by examining the cash flow patterns of the company.<ref>Dickinson, 2010.</ref> A summary of the economic links to cash flow patterns can be found in the appendix of this report. We estimate that with Alpha FMC's operating cash flows positive (+), investing cash flows negative (-) and its financing cash flows positive (+), the company is in the second stage of growth (i.e. the 'growth' stage), and, therefore, it has a total of three main stages of growth remaining.
|-
|What proportion of the company lifecycle is represented by growth stage 1?
|30% 
|Research suggests 30%.<ref name=":6">http://escml.umd.edu/Papers/ObsCPMT.pdf</ref>
|-
|What proportion of the company lifecycle is represented by growth stage 2?
|10% 
|Research suggests 10%.<ref name=":6" />
|-
| What proportion of the company lifecycle is represented by growth stage 3?
|20% 
| Research suggests 20%.<ref name=":6" />
|-
|What proportion of the company lifecycle is represented by growth stage 4?
|40%
|Research suggests 40%.<ref name=":6" />
|-
| colspan="3" |'''<div style="text-align: center;">Growth stage 2</div>'''
|-
|Cost of goods sold as a proportion of revenue (%) 
|35%
|Research suggests that it's best to use a similar margin rate as the one used by peers that are in the same growth stage (i.e. growth stage 2)<ref name=":7">http://people.stern.nyu.edu/adamodar/pdfiles/papers/younggrowth.pdf</ref>, and the margin for its peers is 35%. 
|-
|Operating expenses as a proportion of revenue (%)
|15%
|Research suggests that it's best to use a similar margin rate as the one used by peers that are in the same growth stage (i.e. growth stage 2)<ref name=":7" />, and the margin for its peers is 15%. 
|-
|Tax rate (%) 
|12%
|Research suggests that it's best to use a similar rate as the one used by peers that are in the same growth stage (i.e. growth stage 2)<ref name=":7" />, and the rate for its peers is 12%.
|-
|Depreciation and amortisation as a proportion of fixed capital (%) 
|10%
|Research suggests that it's best to use a similar margin rate as the one used by peers that are in the same growth stage (i.e. growth stage 2)<ref name=":7" />, and the margin for its peers is 10%. 
|-
|Fixed capital as a proportion of revenue (%) 
|10%
|Research suggests that it's best to use a similar amount as the one used by peers that are in the same growth stage (i.e. growth stage 2)<ref name=":7" />, and the amount for its peers is 10%.
|-
|Working capital as a proportion of revenue (%)
|15% 
|Research suggests that it's best to use a similar amount as the one used by peers that are in the same growth stage (i.e. growth stage 2)<ref name=":7" />, and the amount for its peers is 15%.
|-
|Net borrowing ($000)
|Zero
|We suggest that for simplicity, the net borrowing figure is zero.
|-
|Interest amount ($000)
|Zero
|We suggest that for simplicity, the interest amount figure is zero.
|-
| colspan="3" |'''<div style="text-align: center;">Growth stage 3</div>'''
|-
|Cost of goods sold as a proportion of revenue (%) 
|45%
|Research suggests that it's best to use a similar margin rate as the one used by peers that are in the same growth stage (i.e. growth stage 3)<ref name=":7" />, and the margin for its peers is 45%. 
|-
|Operating expenses as a proportion of revenue (%)
|15%
|Research suggests that it's best to use a similar margin rate as the one used by peers that are in the same growth stage (i.e. growth stage 3)<ref name=":7" />, and the margin for its peers is 15%.
|-
|Tax rate (%) 
|12%
|Research suggests that it's best to use a similar rate as the one used by peers that are in the same growth stage (i.e. growth stage 3)<ref name=":7" />, and the rate for its peers is 12%.
|-
|Depreciation and amortisation as a proportion of fixed capital (%) 
|10%
|Research suggests that it's best to use a similar amount as the one used by peers that are in the same growth stage (i.e. growth stage 3)<ref name=":7" />, and the amount for its peers is 10%.
|-
|Fixed capital as a proportion of revenue (%) 
|10%
|Research suggests that it's best to use a similar amount as the one used by peers that are in the same growth stage (i.e. growth stage 3)<ref name=":7" />, and the amount for its peers is 10%.
|-
|Working capital as a proportion of revenue (%)
|15% 
|Research suggests that it's best to use a similar amount as the one used by peers that are in the same growth stage (i.e. growth stage 4)<ref name=":7" />, and the amount for its peers is 15%.
|-
|Net borrowing ($000)
|Zero
|We suggest that for simplicity, the net borrowing figure is zero.
|-
|Interest amount ($000)
|Zero
|We suggest that for simplicity, the interest amount figure is zero.
|-
| colspan="3" |'''<div style="text-align: center;">Growth stage 4</div>'''
|-
|Cost of goods sold as a proportion of revenue (%) 
|55%
|Research suggests that it's best to use a similar margin rate as the one used by peers that are in the same growth stage (i.e. growth stage 4)<ref name=":7" />, and the margin for its peers is 55%. 
|-
|Operating expenses as a proportion of revenue (%)
|15%
|Research suggests that it's best to use a similar margin rate as the one used by peers that are in the same growth stage (i.e. growth stage 4)<ref name=":7" />, and the margin for its peers is 15%.
|-
|Tax rate (%) 
|12%
|Research suggests that it's best to use a similar rate as the one used by peers that are in the same growth stage (i.e. growth stage 4)<ref name=":7" />, and the rate for its peers is 12%.
|-
|Depreciation and amortisation as a proportion of fixed capital (%) 
|10%
|Research suggests that it's best to use a similar amount as the one used by peers that are in the same growth stage (i.e. growth stage 4)<ref name=":7" />, and the amount for its peers is 10%.
|-
|Fixed capital as a proportion of revenue (%)
| 10%
|Research suggests that it's best to use a similar amount as the one used by peers that are in the same growth stage (i.e. growth stage 4)<ref name=":7" />, and the amount for its peers is 10%.
|-
|Working capital as a proportion of revenue (%)
| 15% 
|Research suggests that it's best to use a similar amount as the one used by peers that are in the same growth stage (i.e. growth stage 4)<ref name=":7" />, and the amount for its peers is 15%.
|-
|Net borrowing ($000)
|Zero
|We suggest that for simplicity, the net borrowing figure is zero.
|-
|Interest amount ($000)
|Zero
|We suggest that for simplicity, the interest amount figure is zero.
|}

=== What are the key risks of investing in the company? ===

As with any investment, investing in Alpha FMC carries a level of risk. Overall, based on the Alpha FMC's adjusted beta (i.e. 1.139)<ref>Research shows that an investment has two main types of risks: 1) non-systematic and 2) systematic. Systematic risk is the risk related to the overall market, and non-systematic risk is the risk that's specific to an individual investment. Evidence shows that taking on non-systematic risk is inefficient, and it's, therefore, best to eliminate it; and in most cases, elimination is fairy easy to do [by holding a diversified portfolio of investments (i.e. around 15 investments)]. Accordingly, when assessing the riskiness of an investment, it’s best to look at the systematic risk only (i.e. ignore the non-systematic risk). A key measure of systematic risk is beta, and a main way to determine the riskiness of an investment is to compare the beta of the investment with the beta of the market, which is 1. For example, Supply@ME Capital's adjusted beta (5 years, monthly data) is 4.61, and is, accordingly, 561% above the market beta (of 1); assuming that a 'high' level of riskiness is 50% or more above the market beta, then the riskiness of investing in Supply@ME Captial is considered to be 'high' (561%>50%). For estimating an asset's beta, in terms of time period, and frequency of observations, the most common choice is five years of monthly data, yielding 60 observations. One study of U.S. stocks found support for five years of monthly data over alternatives. An argument can be made that the 2 years, weekly data can be especially appropriate in fast growing markets. The beta value in a future period has been found to be on average closer to the mean value of 1.0, the beta of an average-systematic-risk security, than to the value of the raw beta. Because valuation is forward looking, it is logical to adjust the raw beta so it more accurately predicts a future beta.</ref>, the degree of risk associated with an investment in Alpha FMC is 'medium'.

Here, to estimate the adjusted beta, we used the iShares MSCI World ETF to represent the market portfolio; and in terms of the time period and frequency of observations, we used five years of monthly data (i.e. 60 observations in total), which is supported by a study and is the most common choice. We note that the company in its current state was only really formed (following a reverse takeover) on 27th March 2020<ref>Officially, the company was formed on 1st March 2000 (i.e. almost 23 years ago).</ref>, and, therefore, the numbers of available data observations is less than what's typically used in the five years of monthly data beta calculation (i.e. 33 observations vs. 60 observations). The beta value in a future period has been found to be on average closer to the mean value of 1.0, and because valuation is forward-looking, it is logical to adjust the raw beta so it more accurately predicts a future beta. In addition, here, we have assumed that for an investment to be considered 'medium' risk, it must have a beta value of between 0.5 and 1.5. Further information about the beta ratings can be found in the appendix section of this report.

The key risks can be found below. For us, currently, the biggest risk to the valuation of the company relates to the company's ability (and willingness) to take the appropriate risk to maintain the growth of the business.

==== Risks relating to the group's business and the industry in which it operates ====

* Ability to retain key personnel and senior management
* Low barriers to entry
* Concentration of key customers
* Revenue growth is partly reliant on attracting new personnel to expand existing services and lead new service offerings
* Revenue growth is also reliant on ability to cross sell and up sell new services to existing clients and to win new clients
* Revenue growth is sensitive to selling major and large scale projects
* Ability to maintain quality of service and fulfil obligations on client contracts
* Technological change and reliability
* Geography
* Currency and exchange rates
* Regulatory environment
* Training and risk management
* Cash collection and bad debt
* Funding and use of proceeds of the Placing
* Macroeconomic conditions
* Tax risks
* Use of contractors
* Utilisation rates of consultants
* Relationships with technology platforms and service providers

==== Risks relating to the shares ====

* Share price volatility and liquidity
* Investment risk
* Dilution
* Dividends may not be paid
=== How much can I expect to make from an investment in the company? ===

==== What's the expected return of an investment in the company? ====
ccc

==== What are the assumptions used to estimate the return? ====



==== What are the assumptions used to estimate the return figure? ====

{| class="wikitable"
|+ Key inputs
!Description 
!Value
!Commentary
|-
| Which valuation model do you want to use?
|Discounted cash flow 
|Research suggests that in terms of estimating the expected return of an investment over a period of 12-months or more, the approach that is more accurate is the discounted cash flow approach<ref name=":5">Demirakos et al., 2010; Gleason et al., 2013</ref>, so that's the approach that we suggest to use here; nevertheless, for completeness purposes, separately, the valuation of the company is also estimated using the using the relative valuation approach (the valuation based on the relative approach can be found in the appendix of this report).
|-
|Which type of DCF model do you want to use?
|Free cash flow
|While Alpha has paid a dividend every year since its public listing (in 2017), the growth rate of the dividend varies materially; accordingly, we suggest valuing the business using the free cash flow valuation method (rather than the dividend discount model). Nevertheless, for completeness purposes, separately, the valuation of the company is also estimated using the dividend discount model (the valuation based on the dividend discount model can be found in the appendix of this report).
|-
|Which financial forecasts to use?
| Proactive Investors
|The only available long-term forecasts (i.e. >15 years) are the ones that are supplied by us (the forecasts can be found in the financials section of this report), so we suggests using those.
|-
| colspan="3" |'''<div style="text-align: center;">Growth stage 2</div>''' 
|-
|Discount rate (%)
| 15%
|There are two key risk parameters for a firm that need to be estimated: its cost of equity and its cost of debt. A key way to estimate the cost of equity is by looking at the beta (or betas) of the company in question, the cost of debt from a measure of default risk (an actual or synthetic rating) and apply the market value weights for debt and equity to come up with the cost of capital.
|-
|Probability of success (%)
| 90%
| Research suggests that a suitable rate for a company in this growth stage (i.e. stage 2) is 90%.

|-
| colspan="3" |'''<div style="text-align: center;">Growth stage 3</div>''' 
|-
|Discount rate (%)
| 10%
|There are two key risk parameters for a firm that need to be estimated: its cost of equity and its cost of debt. A key way to estimate the cost of equity is by looking at the beta (or betas) of the company in question, the cost of debt from a measure of default risk (an actual or synthetic rating) and apply the market value weights for debt and equity to come up with the cost of capital.
|-
|Probability of success (%)
|100%
|Research suggests that a suitable rate for a company in this growth stage (i.e. stage 3) is 100%.

|-
| colspan="3" |'''<div style="text-align: center;">Growth stage 4</div>''' 
|-
|Discount rate (%)
| 10%
|There are two key risk parameters for a firm that need to be estimated: its cost of equity and its cost of debt. A key way to estimate the cost of equity is by looking at the beta (or betas) of the company in question, the cost of debt from a measure of default risk (an actual or synthetic rating) and apply the market value weights for debt and equity to come up with the cost of capital.
|-
|Probability of success (%)
| 100%
|Research suggests that a suitable rate for a company in this growth stage (i.e. stage 4) is 100%.

|-
| colspan="3" |'''<div style="text-align: center;">Other key inputs</div>'''
|-
|What's the current value of the company?
|$659 million
|As at 26th January 2023, the current value of the Alpha FMC company is $659 million (or £554 million).
|-
|Which time period do you want to use to estimate the expected return?
| Between now and five years time
|Research suggests that following a market crash, the average amount of time it takes for the price of a stock market to return to its pre-crash level (i.e. the recovery period) is at least three years.<ref>https://www.newyorkfed.org/mediabrary/media/medialibrary/media/research/staff_reports/research_papers/9809.pdf</ref> Accordingly, we suggest that to account for general market cyclicity, it's best to estimate the expected return of the company between now and five years time.
|}

====Sensitive analysis====

The three main inputs that result in the greatest change in the expected return of the Alpha investment are, in order of importance (from highest to lowest):

# The size of the total addressable market (the default size is $ccc billion);
# Alpha FMC peak market share (the default share is ccc%); and
# The discount rate (the default time-weighted average rate is 10%).

The impact of a 10% change in those main inputs to the expected return of the Alpha investment is shown in the table below.

{| class="wikitable sortable"
|+Alpha FMC investment expected return sensitive analysis
!Main input
!10% worse
!Unchanged
!10% better
|-
|The size of the total addressable market
|To be added
|To be added
|To be added
|-
|Alpha FMC peak market share
|To be added
|To be added
|To be added
|-
|The discount rate
|To be added
|To be added
|To be added
|}



{| class="wikitable"
|+Key inputs
!Description
!Value
!Commentary
|-
|Which valuation model do you want to use?
|Discounted cash flow
|Research suggests that in terms of estimating the expected return of an investment over a period of 12-months or more, the approach that is more/most accurate is the absolute valuation approach, so that's the approach that we suggest using to determine the estimated value of the company.
|-
|Which type of discounted cash flow model do you want to use?
|Dividend discount model
|The policy of Alpha FMC is to pay out approximately half of adjusted profit after tax. Accordingly, we suggest using the dividend discount model (DDM), which is one of the most common discounted cash flow models.
|-
|How many distinct stage of growth do you want to use?
|Two stages
|For simplicity, we have used two stages here.
|-
|What is the transition between the two growth stages?
|Smooth
|We suggest a smooth transition, and, therefore, we suggest using the H-Model.
|-
|What is the expected lifespan of the business?
|Perpetual
|Again, for simplicity, we have assumed that the business continues forever.
|-
|What is the expected initial growth rate of dividends?
|32.5%
|
|-
|What is the expected constant growth rate in dividends?
|3%
|We note that the gross domestic product (GDP) growth rate in the last 20 years (2001 to 2022) is around 3% per year for the global economy, and around 2.25% for the United Kingdom. Since the company's inception (i.e. eight years ago), the median dividend of the company is 1.57%. Further information about the company's dividend pay-outs can be found in the appendix section of this report.
|-
|What is the half life of the initial dividend growth rate?
|7.5 years
|We suggest using 7.5 years.
|-
|Which financial forecasts to use?
|Proactive Investors
|Here, we have used the forecasts of Proactive Investors.
|-
|What is the required return on equity?
|9.479%
|For estimating the required return on equity, we used the Capital Asset Pricing Model (CAPM), which provides an economically grounded and relatively objective procedure for required return estimation, and, therefore, it has been widely used in valuation. The calculation of the required return on equity (and the reasons behind the calculation) can be found in the table below.
|-
|What's the current value of the company?
|454.88 pence per share
|As at 18th January 2023, the current value of Alpha FMC is 454.88p per share.
|-
|Which time period do you want to use to estimate the expected return?
|Between now and five years time
|Research suggests that following a market crash, the average amount of time it takes for the price of a stock market to return to its pre-crash level (i.e. the recovery period) is at least three years. Accordingly, we suggest that to account for general market cyclicity, it's best to estimate the expected return of the company between now and five years time.
|}
{| class="wikitable"
|+
|}

==== Sensitive analysis ====
The three main inputs that result in the greatest change in the expected return of the Alpha investment are, in order of importance (from highest to lowest):

#The initial growth rate (the default rate is cccx);
# The terminal growth rate (the default rate is $ccc million); and
#The discount rate (the default time-weighted average rate is 10%). 

The impact of a 10% change in those main inputs to the expected return of the Alpha investment is shown in the table below.

{| class="wikitable sortable"
|+Sirius investment expected return sensitive analysis
!Main input
!10% worse
!Unchanged
!10% better
|-
|The initial growth rate
|To be added
|To be added
|To be added
|-
|The terminal growth rate
|To be added
|To be added
|To be added
|-
|The default rate
|To be added
|To be added
|To be added
|}



{| class="wikitable"
|+Cost of equity (%)
!Input
!Input value
!Additional information
|-
|Risk-free rate (%)
|3.488%
|Here, the risk free rate is the US 30 year treasury bond, and is calculated as at 16th December 2022. Research suggests that for the risk-free rate, it's best to use one that has the same or similar maturity to the estimated remaining lifespan of the company. Here, we have assumed that the estimated lifespan of the company is 50 years, so we have used the longest maturity, which is 30 years.
|-
|Beta
|1.139
|Here, to estimate the adjusted beta, we used the iShares MSCI World ETF to represent the market portfolio; and in terms of the time period and frequency of observations, we used five years of monthly data (i.e. 60 observations in total), which is supported by a study and is the most common choice. The beta value in a future period has been found to be on average closer to the mean value of 1.0, and because valuation is forward-looking, it is logical to adjust the raw beta so it more accurately predicts a future beta.
|-
|Equity risk premium (%)
|5.26
|Here, the equity risk premium is in relation to the global region, and is calculated as at 1st January 2022. Research suggests that for the region of equity risk premium, it's best to use one that is the same or similar to the region of the beta market portfolio. Here, the region of the beta market portfolio is the world/global, so we have used the world/global region for the equity risk premium.
|-
|Cost of equity (%)
|9.479%
|Cost of equity = Risk-free rate + Beta x Equity risk premium.
|}

== Appendix ==

=== Alternative absolute valuation approach ===


=== Relative valuation approach ===

==== What's the expected return of an investment in the company using the relative valuation approach? ====

==== What are the assumptions used to estimate the return figure? ====

====What are the assumptions used to estimate the return figure?====
{| class="wikitable"
|+Key inputs
!Description
!Value
!Commentary
|-
|Which type of multiple do you want to use?
|Price/earnings to growth
|Given the relatively low amount of leverage used in consulting businesses and Alpha's significant amount of (positive) earnings and comparatively high amount of recurring revenue, we suggest valuing the company using the price/earnings ratio. However, we feel that to take into account the different business lifecycle stages of its peers (and, therefore, the different growth stages of its peers), the most suitable valuation multiple to use is the price/earnings to growth multiple (or the PEG multiple, for short), rather than the price/earnings multiple.
|-
|In regards to the PEG multiple, for the earnings figure, which year to you want to use?

|Year 1
|Research suggests that when using the relative valuation approach, it's best to use a time period of 12 months or less. Accordingly, for the sales figure, we suggest using Year 1, which is 20 pence per share.
|-
|In regards to the PEG multiple, for the earnings growth figure, which year(s) do you want to use?
|Year 2 to 4, from now
|We suggest that for the sales growth figure, it's best to use Year 2 to 4, which equates to a compound annual growth rate (CAGR) of 30%.
|-
|In regards to the PEG multiple, what multiple figure do you want to use?
|1.04x
|Here, we suggest using a multiple of 1.04x, which we believe is in-line with the multiples of Alpha's peers.
|-
|Which financial forecasts to use?
|Proactive Investors
| The only available forecasts are the ones that are supplied by us (the forecasts can be found in the financials section of this report), so we suggest using those.
|-
|What's the current value of the company?
|$659 million
|As at 26th January 2023, the current value of the Alpha FMC company is $659 million (or £554 million).
|-
|Which time period do you want to use to estimate the expected return?
|Between now and one year time
|Research suggests that when using the relative valuation approach, it's best to estimate the expected return of the company between now and one year time.
|}


{| class="wikitable"
|+
!Name
!Bloomberg ticker
!Market capitalisation (USD,billion) 
!Primary exchange
!Adjusted EV/sales
!
!
!
!Sales growth rate
!Adjusted beta
|-
|Alpha Financial Markets Consulting
|AFM LN
|659
|London
|7.49
|
|
|
|29%
|1.07
|-
! colspan="10" |UK professional services
|-
|JTC 
|JTC LN
|1,346
|London 
|23.19
|
|
|
|24%
|1.11
|-
|XPS Pensions
|XPS LN 
|425 
|London 
| 30.16
|
|
|
|8%
| 0.73 
|-
|Gateley
|GTLY LN
|293
| London
|15.73 
|
|
|
|10%
|0.61
|-
|Keystone Law
|KEYS LN
|166
|London
|9.01
|
|
|
|18%
|0.63 
|-
| Elixirr International 
|ELIX LN
|294
|London
|6.54
|
|
|
|45%
|1.07 
|-
|Kin and Carta
|KCT LN
|493
|London
| 10.47
|
|
|
|14%
| 0.90
|-
|MJ Hudson
|MJH LN
|N/A
|London 
|
|
|
|
|26%
|
|-
|'''Median'''
|
|424.53
| London
|10.47
|
|
|
|21% 
|0.90
|-
! colspan="10" |Global consultancies
|-
|Accenture
| ACN US
|181,070 
| New York
|19.99 
|
|
|
|13%
|1.19
|-
| Cognizant Technology Solutions
|CTSH US
|33,091
|NASDAQ GS
|32.76
|
|
|
|5%
|0.99
|-
|CGI Inc.
|GIB US
|20,307 
|New York
|102.10
|
|
|
|2%
| 0.80
|-
|Genpact
|G US 
|8,857
|New York 
|20.74
|
|
|
|10%
|0.86
|-
| Capgemini
|CAP FP
|32,648
| EN Paris
|
|
|
|
|11%
|1.17
|-
|Reply SpA
| REY IM 
|4,941
|BrsaItaliana
|16.54
|
|
|
|12%
|0.91
|-
|DXC Technology
|DXC US
|6,520
|New York
|(8.99)
|
|
|
| -8%
|1.12
|-
|GFT Technologies
|GFT GY
|1,147
|Xetra
|10.94
|
|
|
|12% 
|1.26
|-
|Atos SE
|ATO FP
|1,436
|EN Paris
|51.54 
|
|
|
|1%
|1.59 
|-
|Tata Consultancy Services
|TCS IN
|153,821
|Natl India
|51.05
|
|
|
|10%
|0.89 
|-
|Infosys
|INFO IN
|78,994
|Natl India
|27.75
|
|
|
|14%
|0.91
|-
|Wipro
|WPRO IN
|27,006
|Natl India
|18.26
|
|
|
|11% 
|0.94
|-
|HCL Technologies
|HCLT IN
|37,344
|Natl India
|25.42
|
|
|
|10%
|0.92
|-
|'''Median'''
|
|27,006
|
|23.08
|
|
|
|10%
|0.94
|}
{| class="wikitable"
|+Discount/premium to peers
!Name
!Market capitalisation (USD,billion)
!Adjusted EV/sales
!Adjusted EV/EBITDA
!Adjusted EV/EBIT
!Adjusted P/E
!Sales growth rate
!Adjusted beta
|-
|UK professional services
|55%
|(28%)
|(61%)
|(68%)
|(34%)
|40%
|19%
|-
|Global consultancies
|(98%)
|(68%)
|(76%)
|(76%)
|(65%)
|184%
|14% 
|}


{| class="wikitable"
|+
!Name
!2Y Corr
!Mkt Cap (USD)
!BF P/E
!BF EV/EBITDA
!BF EV/EBIT
!BF EV/Rev
!LF P/BV
|-
|Alpha Financial Markets Consul
|
|658.12M
|21.0x
|11.3x
|13.0x
|2.2x
|3.6x
|-
|Current Premium to Comps Mean
|
|
|19%
|3%
| -5%
|4%
| -15%
|-
|Mean (Including AFM LN)
|
|41.96B
|17.6x
|11.0x
|13.7x
|2.2x
|4.2x
|-
|
|
|
|
|
|
|
|
|-
|Capgemini SE
|0.3
|32.63B
|14.8x
|9.6x
|12.1x
|1.5x
|3.3x
|-
|GFT Technologies SE
|0.24
|1.11B
|18.7x
|10.9x
|13.8x
|1.2x
|5.3x
|-
|Tata Consultancy Services Ltd
|0.24
|153.05B
|26.4x
|18.2x
|19.8x
|4.9x
|11.5x
|-
|Atos SE
|0.23
|1.45B
|11.0x
|4.9x
|44.1x
|0.4x
|0.3x
|-
|Infosys Ltd
|0.21
|77.81B
|22.8x
|15.6x
|17.6x
|3.9x
|8.5x
|-
|CGI Inc
|0.21
|20.23B
|16.4x
|10.9x
|13.2x
|2.2x
|3.7x
|-
|Reply SpA
|0.2
|4.93B
|21.9x
|12.7x
|15.2x
|2.0x
|5.3x
|-
|Cognizant Technology Solutions
|0.18
|33.77B
|14.0x
|8.5x
|10.1x
|1.6x
|2.8x
|-
|Wipro Ltd
|0.18
|26.78B
|16.9x
|10.6x
|12.9x
|2.0x
|2.9x
|-
|Accenture PLC
|0.17
|182.82B
|23.3x
|14.5x
|17.4x
|2.7x
|7.6x
|-
|HCL Technologies Ltd
|0.17
|37.12B
|18.6x
|11.4x
|14.0x
|2.6x
|4.7x
|-
|DXC Technology Co
|0.14
|6.50B
|6.4x
|3.7x
|7.0x
|0.7x
|1.4x
|-
|Genpact Ltd
|0.13
|8.59B
|15.5x
|11.6x
|12.6x
|2.1x
|5.0x
|}
{| class="wikitable"
|+
!Name
!Rev - 1
!EPS - 1
!P/E
!ROE
!Dvd 12M
|-
|Alpha Financial Markets Consul
|61.11%
|5.96%
|29.38
|9.44%
|2.41%
|-
|Accenture PLC
|21.89%
|22.99%
|24.91
|32.90%
|1.51%
|-
|Cognizant Technology Solutions
|11.14%
|38.06%
|14.6
|19.95%
|1.64%
|-
|CGI Inc
|6.11%
|12.82%
|18.43
|20.87%
| --
|-
|Genpact Ltd
|8.43%
|7.41%
|25.19
|19.11%
|1.07%
|-
|Capgemini SE
|14.59%
|24.89%
|21.25
|19.60%
|1.39%
|-
|Reply SpA
|16.87%
|19.16%
|29.18
|18.12%
|0.66%
|-
|DXC Technology Co
| -8.26%
|155.46%
|14.27
|10.30%
| --
|-
|GFT Technologies SE
|27.28%
|82.77%
|23.97
| --
|0.90%
|-
|Atos SE
| -3.06%
| --
| --
| -14.49%
| --
|-
|Tata Consultancy Services Ltd
|16.80%
|16.23%
|30.76
|37.83%
|3.31%
|-
|Infosys Ltd
|21.07%
|14.98%
|26.93
|32.98%
|2.14%
|-
|Wipro Ltd
|27.69%
|16.49%
|19.17
|16.02%
|1.51%
|-
|HCL Technologies Ltd
|12.84%
|2.13%
|21.35
|22.27%
|4.30%
|-
|'''Medium'''
|'''15.69%'''
|'''16.49%'''
|'''23.97'''
|'''19.60%'''
|'''1.51%'''
|}
{| class="wikitable"
|+
!Name
!Net debt/EBIT
!Total debt/EBIT
!Net debt/Equity
!Total debt/Total assets
!EBITDA/Interest expense
|-
!
!(x)
!(x)
!(%)
!(%)
!(x)
|-
|Median
| -0.27
|0.77
| -10.13
|12.79%
|44.42
|-
|Alpha Financial Markets Consul
| --
| --
| --
|1.05%
|64.72
|-
|Accenture PLC
| -0.21
|0.27
| -11
|7.04%
|258
|-
|Cognizant Technology Solutions
| -0.34
|0.42
| -10.13
|9.27%
|411.44
|-
|CGI Inc
|1.17
|1.55
|41.38
|26.20%
|44.42
|-
|Genpact Ltd
|1.86
|2.65
|70.93
|40.20%
|13.04
|-
|Capgemini SE
| --
| --
| --
|31.80%
|24.65
|-
|Reply SpA
| --
| --
| --
|9.08%
|51.59
|-
|DXC Technology Co
|1.58
|2.68
|65.92
|30.63%
|10.07
|-
|GFT Technologies SE
| --
| --
|20.93
|25.15%
|42.01
|-
|Atos SE
| --
| --
| --
|34.80%
|26.25
|-
|Tata Consultancy Services Ltd
| -0.86
|0.13
| -45.4
|5.52%
|200.19
|-
|Infosys Ltd
| -0.33
|0.26
| -15.34
|4.64%
| --
|-
|Wipro Ltd
| -1.19
|1.11
| -25.95
|16.30%
|30.86
|-
|HCL Technologies Ltd
| --
| --
| --
|7.12%
|83.33
|}
{| class="wikitable"
|+
!Name
!Sales growth
!EBITDA growth
!EBITDA margin
!Operating income margin
!Net income growth
!Net profit margin
!Capex/Sales (%)
!Return on invested capital
!Return on assets
!Return on equity
|-
|Median
|16.08%
|10.10%
|18.70%
|15.27%
|8.06%
|10.02%
|1.49%
|12.95%
|9.85%
|19.60%
|-
|Alpha Financial Markets Consul
|65.31%
|105.08%
|18.82%
|15.37%
|28.07%
|6.55%
|0.43%
|12.24%
|5.90%
|9.44%
|-
|Accenture PLC
|16.08%
|16.58%
|19.56%
|15.27%
|17.52%
|11.43%
|1.17%
|32.40%
|15.70%
|32.90%
|-
|Cognizant Technology Solutions
|8.11%
|12.48%
|18.52%
|15.56%
|22.45%
|12.11%
|1.51%
|17.51%
|13.56%
|19.95%
|-
|CGI Inc
|6.11%
|4.31%
|19.94%
|16.25%
|8.22%
|11.56%
|1.21%
|13.65%
|9.85%
|20.87%
|-
|Genpact Ltd
|11.29%
| -4.50%
|15.18%
|11.92%
|2.10%
|8.11%
|1.33%
|10.22%
|7.34%
|19.11%
|-
|Capgemini SE
|18.61%
|16.26%
|14.84%
|11.37%
|25.84%
|7.60%
|1.46%
|10.51%
|6.52%
|19.60%
|-
|Reply SpA
|21.46%
|13.39%
|16.22%
|13.23%
|1.59%
|8.61%
|2.50%
|14.33%
|8.70%
|18.12%
|-
|DXC Technology Co
| -8.73%
| -36.05%
|13.41%
| -1.59%
| -38.91%
|3.14%
|1.56%
| -10.30%
|2.55%
|10.30%
|-
|GFT Technologies SE
| --
| --
| --
| --
| --
|6.09%
|1.22%
| --
| --
| --
|-
|Atos SE
|0.00%
| -30.86%
|7.47%
| -0.04%
| --
| -7.52%
|2.51%
| -17.95%
| -4.74%
| -14.49%
|-
|Tata Consultancy Services Ltd
|17.32%
|10.44%
|26.43%
|24.15%
|7.90%
|18.68%
|1.30%
|32.05%
|25.89%
|37.83%
|-
|Infosys Ltd
|22.41%
|10.10%
|24.16%
|21.34%
|10.09%
|16.74%
|1.78%
|26.95%
|20.16%
|32.98%
|-
|Wipro Ltd
|18.37%
| -0.27%
|18.70%
|15.04%
| -5.44%
|12.80%
|2.55%
|11.40%
|10.34%
|16.02%
|-
|HCL Technologies Ltd
|7.99%
| -1.77%
|22.30%
|17.99%
|2.90%
|14.84%
|1.92%
| --
|15.57%
|22.27%
|}
{| class="wikitable"
|+
!Name
!Raw Beta
!Adj Beta (2/3*Raw Beta+1/3*1)
!Alpha
!R Squared
!Standard deviation of error
!Relative Index
|-
|Median
|0.95
|0.96
|0.04
|0.3
|3.02
|
|-
|Alpha Financial Markets Consul
|1.11
|1.07
|0.47
|0.15
|4.43
|UKX Index
|-
|Accenture PLC
|1.27
|1.18
|0.05
|0.69
|2.19
|SPX Index
|-
|Cognizant Technology Solutions
|0.99
|0.99
| -0.21
|0.45
|2.81
|SPX Index
|-
|CGI Inc
|0.53
|0.68
|0.03
|0.16
|2.28
|SPTSX Index
|-
|Genpact Ltd
|0.77
|0.85
|0.15
|0.43
|2.28
|SPX Index
|-
|Capgemini SE
|1.25
|1.17
|0.08
|0.53
|2.87
|CAC Index
|-
|Reply SpA
|0.87
|0.91
|0.1
|0.2
|4.6
|FTSEMIB Index
|-
|DXC Technology Co
|1.16
|1.11
|0.05
|0.23
|5.43
|SPX Index
|-
|GFT Technologies SE
|1.31
|1.21
|1.17
|0.2
|6.12
|DAX Index
|-
|Atos SE
|1.88
|1.59
| -1.78
|0.3
|6.93
|CAC Index
|-
|Tata Consultancy Services Ltd
|0.83
|0.89
| -0.09
|0.33
|2.64
|SENSEX Index
|-
|Infosys Ltd
|0.87
|0.91
|0.01
|0.33
|2.78
|SENSEX Index
|-
|Wipro Ltd
|0.91
|0.94
| -0.22
|0.3
|3.17
|SENSEX Index
|-
|HCL Technologies Ltd
|0.88
|0.92
|0.02
|0.27
|3.23
|SENSEX Index
|}
{| class="wikitable"
|+
!Name
!2Y Corr
!Mkt Cap (USD)
!BF P/E 
!BF EV/EBITDA
!BF EV/EBIT
!BF EV/Rev
!LF P/BV
|-
|Alpha Financial Markets Consulting
|
|646.52M
|20.6x
|11.1x
|12.8x
|2.2x 
| 3.5x
|-
|Randstad NV
|0.27
|11.84B
| 14.0x
|8.3x
|10.8x
|0.4x
|2.3x
|-
|Coor Service Management Holdin
|0.25
|635.89M
|13.3x
| 9.1x
|15.6x
|0.7x
|3.1x
|-
|Bure Equity AB 
|0.25
|1.82B
| --
| --
| --
| --
|1.5x
|-
|GFT Technologies SE 
| 0.24 
| 1.10B
|18.7x
|10.9x
|13.8x
| 1.2x
|5.3x
|-
|Rejlers AB
|0.21
|287.34M
|14.8x
|8.4x
|13.9x
|0.9x
|2.1x
|-
|XPS Pensions Group PLC
|0.17
|414.52M
|14.2x
|9.7x
|11.4x
|2.4x
|2.3x
|-
|Science Group PLC
|0.16
|219.09M
| --
| --
| --
| --
|2.5x
|-
|Fintel Plc
|0.13
| 266.34M
|16.9x 
|10.7x
| 12.7x
|3.2x
|2.3x
|-
|RPS Group PLC 
|0.12
|762.27M
|24.9x 
|11.8x
|17.5x
|1.2x
|1.7x
|-
|Alan Allman Associates
|0.04
|442.12M
|19.5x
|13.2x
|15.6x
| 1.4x
|2.9x
|-
|
|
|
|
|
|
|
|
|-
|Current Premium to  Comps Mean
|
|
|21%
|11%
| -6%
|43%
|32%
|-
|Mean    (Including AFM LN)
|
|1.68B
|17.0x
|10.0x
|13.5x
|1.5x
|2.7x
|}

====Sensitive analysis====

The three main inputs that result in the greatest change in the expected return of the Alpha investment are, in order of importance (from highest to lowest):

#The PEG multiple (the default multiple is 1.04x);
# The Year-one earnings forecast (the default forecast is $ccc million); and
#The Year 2 to 4 earnings growth forecast (the default forecast isccc%)

The impact of a 10% change in those main inputs to the expected return of the Alpha investment is shown in the table below.

{| class="wikitable sortable"
|+Sirius investment expected return sensitive analysis
!Main input
!10% worse
!Unchanged
!10% better
|-
|The growth-adjusted EV/sales multiple
|To be added
|To be added
|To be added
|-
|The Year-one sales forecast
|To be added
|To be added
|To be added
|-
|The Year 2 to Year 4 sales growth forecast
|To be added
|To be added
|To be added
|}




===Dividend===
Since the company's listing (i.e. around five years ago), the median dividend growth rate is 16%, and the mean is 48%. The constant/fixed rate dividend rate is 11.97%; in other words, if the company had grown its dividend during that period at a rate that is constant (rather than variable), then the rate would be 11.97%.
{| class="wikitable"
|+Dividend
!Financial year
!Interim
!Full-year
!Total
!Growth
|-
|2023
|3.70
|7.60
|11.30
|9%
|-
|2022
|2.90
|7.50
|10.40
|50%
|-
|2021
|2.10
|4.85
|6.95
|231%
|-
|2020
|2.10
|0.00
|2.10
| -65%
|-
|2019
|1.91
|4.09
|6.00
|16%
|-
|2018
| 1.48
|3.69
|5.17
|N/A
|}


{| class="wikitable"
|+Significant Shareholders
! Shareholders
!% of issued share capital with voting rights
|-
|Abrdn
|10.69
|-
|Invesco
|9.06
|-
|Janus Henderson Investors
|7.51
|-
|BlackRock
|5.45
|-
| Investec Wealth & Investment
|4.65
|-
|NFU Mutual
|3.98 
|-
|M&G Investment Management
|3.84
|}
Last updated 17th January 2023. The percentage of the company’s issued share capital not in public hands is 6.4%.

*The company's medium term goal is to double it size over the four years to November 2024 (from November 2020).
*The asset management, wealth management and insurance markets are influenced by powerful long-term trends, notably the drive for efficiency, fee compression, regulatory change and the growing focus on ESG and responsible investment.
*These trends represent a strong tailwind for the Group and are steadily increasing the relevance and value of its proposition: to provide the best specialist consultancy services for clients wherever in the world they need us.
*The group’s strategic aim to be recognised as the leading global consultancy to the asset management, wealth management and insurance industries.


{| class="wikitable"
|+Consolidated statement of comprehensive income
!
!Year ended 31st March 2017 ('''£'000''')
!Year ended 31st March 2018 ('''£'000''')
!Year ended 31st March 2019 ('''£'000''')
!Year ended 31st March 2020 ('''£'000''')
!Year ended 31st March 2021 ('''£'000''')
!Year ended 31st March 2022 ('''£'000''')
|-
|Continuing operations
|
|
|
|
|
|
|-
|'''Revenue'''
|'''49,240'''
|'''66,009'''
|'''77,661'''
|'''90,901'''
|'''98,066'''
|'''158,005'''
|-
|Rechargeable expenses
| -
| -
|(1,701)
|(1,977)
|(112)
| (196)            
|-
|Net fee income
| -
| -
|75,960
|88,924
|97,954
|157,809
|-
|Cost of sales
|(32,515)
|(40,748)
|(46,878)
|(54,521)
|(63,130)
|(98,452)
|-
|'''Gross profit'''
|'''16,725'''
|'''25,261'''
|'''29,082''' 
|'''34,403'''
|'''34,824'''
|'''59,357'''
|-
| Administration expenses
|(12,721)
|(16,703)
|(16,510)
|(23,977)
|(24,648)
|(41,582)
|-
|'''Operating profit'''
|'''4,004'''
|'''8,558'''
|'''12,572'''
|'''10,426'''
| '''10,176'''
|'''17,775        '''
|-
|Depreciation
| 289
|297
|263
|1,022
|1,085
|1,155
|-
|Amortisation of capitalised development costs
| -
| -
| -
|428
|613
|556 
|-
| Adjusting items 
|3,951
|5,114
|3,643
|8,372
|9,833
|14,382
|-
|'''Adjusted EBITDA'''
|'''8,244'''
| '''13,969'''
|'''16,478'''
|'''20,248'''
|'''21,707'''
|'''33,868'''
|-
|Finance income
|5
| -
| -
|1
| -
|1
|-
|Finance expense
|(7,880)
|(7,059)
|(52)
|(1,133)
|(1,207)
|(2,894)
|-
|'''Profit before tax'''
|'''(3,871)'''
|'''1,499'''
|'''12,520'''
|'''9,294'''
|'''8,969''' 
|'''14,882'''
|-
|Taxation
|(537)
|(1,941)
|(3,321)
|(3,127)
|(3,142)
|(6,370)
|-
|'''Profit for the year'''
|'''(4,408)'''
|'''(442)'''
|'''9,199'''
|'''6,167'''
|'''5,827'''
|'''8,512'''
|-
|Exchange differences on translation of foreign operations
| (224)
|(186)
|2,505
|1,311
| (3,104)
|3,180            
|-
|'''Total comprehensive income for the year'''
|'''(4,632)'''
|'''(628)'''
| '''11,704''' 
|'''7,478'''
|'''2,723'''
|'''11,692          '''
|-
|Basic earnings per ordinary share (p)
|(5.52)
|(0.49)
|9.05
|6.11
|5.75
|7.69
|-
|'''Diluted earnings per ordinary share (p)'''
|'''(5.52)'''
|'''(0.49)'''
|'''8.84'''
|'''5.85'''
|'''5.50'''
|'''7.25'''
|}
{| class="wikitable"
|+Consolidated statement of financial position
!
!As at 31st March 2017 ('''£'000)'''
! As at 31st March 2018 ('''£'000)'''
!As at 31st March 2019 ('''£'000)'''
!As at 31st March 2020 ('''£'000)'''
!As at 31st March 2021 ('''£'000)'''
!As at 31st March 2022 ('''£'000)'''
|-
|'''Assets'''
|
|
|
|
|
|
|-
|'''Non-current assets'''
|
|
|
|
|
|
|-
|Goodwill
|51,529
| 52,626
|55,162
|64,642 
| 63,067
|100,991
|-
|Intangible fixed assets
|23,213
|22,913
|20,768
|25,774
|21,648
|31,333
|-
| Property, plant and equipment 
|451
| 397
|414
|530
|415
|806
|-
| Right-of-use asset
| -
| -
| -
|2,611
|1,816
|2,304
|-
|Deferred tax asset
| -
| -
| -
| -
|<nowiki>-</nowiki> 
|671
|-
|Capitalised contract fulfilment costs
| -
| -
| -
| -
|154 
|131
|-
|'''Total non-current assets'''
|'''75,193''' 
|'''75,936'''
|'''76,344'''
|'''93,557'''
|'''87,100'''
|'''136,236'''
|-
|'''Current assets'''
|
|
|
|
|
|
|-
|Trade and other receivables
|12,087
|21,242
|19,680
|21,212
|17,938
|29,569
|-
|Cash and cash equivalents
|8,023
|9,774
|18,581
| 25,996
|34,012
|63,516
|-
|'''Total current assets'''
|'''20,110'''
|'''31,016'''
|'''38,261'''
|'''47,208'''
|'''51,950''' 
|'''93,085''' 
|-
|'''Current liabilities'''
|
|
|
|
|
|
|-
|Trade and other payables
|(10,024)
| (20,621)
|(18,427)
|(26,018)
|(27,241)
|(56,671)
|-
|Provisions
| -
| -
|(3,359)
|(4,150)
|   -
|(3,277)
|-
|Corporation tax 
| -
| -
| -
|(791)
|(1,792)
|(4,788)
|-
|Lease liabilities
| -
| -
| -
|(5,000)
|(514)
| (1,134)
|-
|'''Total current liabilities'''
|'''(10,024)'''
|'''(20,621)'''
|'''(21,786)'''
|'''(35,959)'''
|'''(29,547)'''
|'''(65,870)'''
|-
|'''Net current assets'''
|'''10,086'''
|'''10,395'''
| '''16,475'''
|'''11,249'''
|'''22,403'''
|'''27,215'''
|-
|'''Non-current liabilities''' 
|
|
|
|
|
|
|-
|Borrowings
|(85,879)
| -
| -
| -
|
| -
|-
|Deferred tax provision
|(3,946)
|(3,401)
|(3,193)
|(4,438)
|(3,022)
|(4,331)
|-
|Other non-current liabilities
| -
|(277)
|(486)
| (7,104)
|(10,737)
|(25,100)
|-
|Lease liabilities
| -
| -
| -
|(1,878)
|(1,379)
|(1,275)
|-
|'''Total non-current liabilities'''
|'''(89,825)'''
| '''(3,678)'''
|'''(3,679)'''
|'''(13,420)'''
|'''(15,138)'''
| '''(30,706)'''
|-
|'''Net assets'''
|'''(4,546)'''
|'''82,653'''
|'''89,140'''
|'''91,386'''
|'''94,365'''
|'''132,745'''
|-
|Equity
|
|
|
|
|
|
|-
|Issued share capital
| -
|77
|76
|78
|80
|89
|-
|Share premium
|86
|89,396
|89,396
|89,396
|89,396
| 119,438
|-
|Capital redemption reserve
| -
| -
|1
| -
| -
| -
|-
|Foreign exchange reserve
|(224)
|(410)
|2,095
|3,406
|302
|3,482
|-
|Other reserves
| -
|267
|737
|1,652
|4,044
| 9,361
|-
|Retained earnings
|(4,408)
| (6,677)
| (3,165)
|(3,146)
|543
|375
|-
|'''Total shareholders' equity'''
|'''(4,546)'''
|'''82,653'''
|'''89,140'''
|'''91,386'''
|'''94,365'''
|'''132,745'''
|}
{| class="wikitable"
|+Consolidated statement of cash flows
!
!Year ended 31st March 2017 ('''£'000''')
!Year ended 31st March 2018 ('''£'000''')
!Year ended 31st March 2019 ('''£'000''')
!Year ended 31st March 2020 ('''£'000''') 
!Restated<ref>The Group has re-presented the consolidated statement of cash flows in the comparative year to reconcile from "profit for the year" rather than "operating profit" to align with the requirements of IAS 7.</ref> year ended 31 March 2021 ('''£'000''')
!Year ended 31 March 2022 ('''£'000''')
|-
|'''Cash flows from operating activities:'''
|
|
|
|
|
|
|-
|Profit for the year
|
|
|
|
|5,827
|8,512
|-
|Taxation
|
|
|
|
|3,142
|6,370
|-
|Finance income
|
|
|
|
|<nowiki>-</nowiki>
|(1)
|-
|Finance expense
|
|
|
|
|1,207 
|2,894
|-
|Depreciation of property, plant and equipment 
|289
|297
|263
|1,022
|1,085 
|1,155 
|-
|Loss on disposal of fixed assets
|2,488
| -
|6
|11
|13
|32
|-
|Amortisation of intangible fixed assets
|2,488
|2,383
|2,586
|3,804
|4,130
|5,272
|-
|Share-based payment charge
| -
|191
|436
|917
|1,693
|4,075
|-
|Acquisition related costs
| 1,463
|241
|61
| -
| -
| -
|-
|Costs relating to AIM admission
| -
| 1,621
| -
| -
| -
| -
|-
|Increase in provisions
| -
| -
| -
|<nowiki>-</nowiki>
|<nowiki>-</nowiki>
|1,302
|-
|Operating cash flows before movements in working capital
|8,244
|13,291
|15,924 
|16,180
|17,097
|29,611
|-
| '''Working capital adjustments:'''
|
|
|
|
|
|
|-
|(Increase)/decrease in trade and other receivables
|(1,644)
|(8,839)
|1,562
|30
|3,221
|(7,066)
|-
|Increase in trade and other payables
|970 
|8,107
| 878
|4,444
|6,424
|15,729
|-
|Tax paid
|(1,707)
|(1,222)
|(1,996)
|(2,446)
|(5,707)
|(4,767)
|-
|'''Net cash generated from operating activities'''
|'''5,863'''
|'''11,337'''
|'''16,368'''
|'''18,208'''
|'''21,035'''
| '''33,507'''
|-
|'''Cash flows from investing activities:'''
|
|
|
|
|
|
|-
|Interest received
|5
| -
| -
|1
|<nowiki>-</nowiki>
|1
|-
|Acquisition of subsidiaries, net of acquired cash
|(77,790)
|(1,941)
|(1,113)
|(7,339)
|(2,752)
|(23,796)
|-
|Costs relating to AIM admission
| -
|(892)
| -
| -
| -
| -
|-
|Costs relating to acquisitions
|(1,463)
|(242)
| -
| -
| -
| -
|-
|Capitalised development costs
| -
| -
| -
| (1,387)
| -
| -
|-
| Purchase of property, plant and equipment, net of disposals
|(199)
|(243)
|(728)
|(349)
|(151)
|(684)
|-
|'''Net cash used in investing activities'''
|'''(79,447)'''
|'''(3,318)'''
|'''(1,841)'''
|'''(9,074)'''
|'''(2,903)'''
|'''(24,479)'''
|-
|'''Cash flows from financing activities:'''
|
|
|
|
|
|
|-
|Issue of ordinary share capital
|86
| 34,348
| -
|(1)
|<nowiki>-</nowiki>
|31,102
|-
|Share issuance costs
| -
| -
| -
| -
|<nowiki>-</nowiki>
|(1,053)
|-
|EBT purchase of Company's own shares
| -
| -
| -
| -
|<nowiki>-</nowiki>
|(205)
|-
|Repayment of bank borrowings
|(1,540)
| (33,602)
| -
|5,000
|(5,000)
|<nowiki>-</nowiki>
|-
|New borrowings
|83,829
| -
| -
| -
| -
| -
|-
| Interest and bank loan fees
| -
| -
| -
| -
|(486)
|(285)
|-
|Principal lease liability payments
|(1,431)
|(5,469)
|(45)
|(706)
|(809)
|(814)
|-
|Interest on lease liabilities
| -
| -
| -
|(129)
|(102)
|(111) 
|-
|Repayment of preference shares 
|(95)
| -
| -
| -
| -
| -
|-
|Dividends paid
|
|(1,508)
|(5,687)
|(6,256)
|(2,136)
|(8,678)
|-
|'''Net cash generated from/(used in) financing activities'''
|80,849
|(6,231)
|(5,732)
|(2,139)
|'''(8,533)'''
|'''19,956'''
|-
|'''Net increase in cash and cash equivalents'''
|7,265
|1,788 
|8,795
|6,995
|'''9,599'''
|'''28,984'''
|-
|Cash and cash equivalents at beginning of the year 
| -
|8,023
|9,774
|18,581
|25,996
|34,012
|-
|Effect of exchange rate fluctuations on cash held
|758 
|(37)
|12
|420
|(1,583)
|520
|-
|'''Cash and cash equivalents at end of the year'''
|8,023
|9,774
|18,581
|25,996
|'''34,012'''
|'''63,516'''
|}

{| class="wikitable"
|+
!
!2017
!2018
!2019
!2020
!2021
!2022
|-
|Cash Flow from Operations
| style="background: green; color: white;" |+
| style="background: green; color: white;" |+
| style="background: green; color: white;" |+
| style="background: green; color: white;" |+
| style="background: green; color: white;" |+
| style="background: green; color: white;" |+
|-
|Cash Flow from Investing
| style="background: red; color: white;" |-
| style="background: red; color: white;" |-
| style="background: red; color: white;" |-
| style="background: red; color: white;" |-
| style="background: red; color: white;" |-
| style="background: red; color: white;" |-
|-
|Cash Flow from Financing
| style="background: green; color: white;" |+
| style="background: red; color: white;" |-
| style="background: red; color: white;" |-
| style="background: red; color: white;" |-
| style="background: red; color: white;" |-
| style="background: green; color: white;" |+
|}
{| class="wikitable"
|+Interim condensed consolidated statement of comprehensive income
!
!Unaudited six months ended 30 Sep 2022
!Unaudited six months ended 30 Sep 2021
|-
|
|'''£'000'''
|'''£'000'''
|-
|'''Continuing operations'''
|
|
|-
|'''Revenue'''
|'''107,599'''
|'''68,421'''
|-
|Rechargeable expenses
|(583)
|(31)
|-
|'''Net fee income'''
|'''107,016''' 
|'''68,390'''
|-
|Cost of sales
|(68,573)
|(41,930)

|-
|'''Gross profit'''
|'''38,443'''
|'''26,460'''
|-
|Administration expenses
|(22,679)
|(20,992)
|-
|'''Operating profit'''
|'''15,764'''
|'''5,468'''
|-
|Depreciation 
|898 
|497 
|-
|Amortisation of capitalised development costs
|151
|301
|-
|Adjusting items
|5,668 
|9,171
|-
|'''Adjusted EBITDA'''
|'''22,481'''
|'''15,437'''
|-
|Finance income
|65
|1
|-
|Finance expense
|(1,630)
|(1,238)
|-
| '''Profit before tax'''
|'''14,199'''
|'''4,231'''
|-
|Taxation 
|(3,922)
|(3,278)
|-
|'''Profit for the period'''
|'''10,277'''
|'''953'''
|-
|Exchange differences on translation of foreign operations
|9,963
|2,100 
|-
|'''Total comprehensive income for the period'''
|'''20,240'''
|'''3,053''' 
|-
|Basic earnings per ordinary share (p)
|9.10
|0.87
|-
|Diluted earnings per ordinary share (p)
|8.55
|0.83
|}

{| class="wikitable"
|+Interim condensed consolidated statement of financial position
!
!Unaudited as at 30th September 2022
!Unaudited as at 30th September 2021
!Audited as at 31st March 2022
|-
|
|'''£'000'''
|'''£'000'''
|'''<nowiki/>'000'''
|-
|'''Non-current assets'''
|
|
|
|-
|Goodwill
|107,310
|100,307 
|100,991
|-
|Intangible fixed assets
|30,936
|33,661
|31,333
|-
|Property, plant and equipment
|1,109
|576
|806
|-
|Right-of-use asset
|1,904
|2,032 
|2,304
|-
|Deferred tax asset
|1,088
|<nowiki>-</nowiki>
|671
|-
|Capitalised contract fulfilment costs
|119
|168
|131
|-
|'''Total non-current assets'''
|'''142,466'''
|'''136,744''' 
|'''136,236'''
|-
|'''Current assets'''
|
|
|
|-
|Trade and other receivables
|41,695
|27,644
|29,569
|-
|Cash and cash equivalents
|47,764
|40,032
|63,516
|-
|Total current assets
|89,459
|67,676
|93,085
|-
|Current liabilities
|
|
|
|-
|Trade and other payables
|(55,709)
|(47,579)
|(56,671)
|-
|Provisions 
|(3,433)
|<nowiki>-</nowiki>
|(3,277)
|-
|Corporation tax
|(3,226)
|(2,307)
|(4,788)
|-
|Lease liabilities
|(1,072)
|(745)
|(1,134)
|-
|Interest bearing loans and borrowings
|(7,477)
|<nowiki>-</nowiki>
|<nowiki>-</nowiki>
|-
|'''Total current liabilities'''
|'''(70,917)'''
|'''(50,631)'''
|'''(65,870)'''
|-
|'''Net current assets'''
|'''18,542'''
|'''17,045'''
|'''27,215'''
|-
|'''Non-current liabilities'''
|
|
|
|-
|Deferred tax liability
|(3,765)
|(5,598)
|(4,331)
|-
|Other non-current liabilities
|(8,357)
|(22,279)
|(25,100)
|-
|Lease liabilities
|(941)
|(1,375)
|(1,275)
|-
|'''Total non-current liabilities'''
|'''(13,063)'''
|'''(29,252)'''
|'''(30,706)'''
|-
|'''Net assets'''
|'''147,945'''
|'''124,537'''
|'''132,745'''
|-
|'''Equity'''
|
|
|
|-
|Issued share capital
|90
|89
|89
|-
|Share premium
|119,438
|119,438
|119,438
|-
|Foreign exchange reserve
|13,445
|2,402
|3,482
|-
|Other reserves
|12,867
|6,545
|9,361
|-
|Retained earnings
|2,105
|(3,937)
|375
|-
|'''Total shareholders' equity'''
|'''147,945'''
|'''124,537'''
|'''132,745'''
|}
{| class="wikitable"
|+Interim condensed consolidated statement of cash flows
!
!Unaudited

six months ended

30 Sep 2022
!Restated<sup>10</sup> unaudited

six months ended

30 Sep 2021
!
Audited

year ended

31 Mar 2022
|-
|
|'''£'000'''
|'''£'000'''
|'''£'000'''
|-
|'''Cash flows from operating activities:'''
|
|
|
|-
|Profit for the period
|10,277
|953
|8,512
|-
|Taxation
|3,922
|3,278
|6,370
|-
|Finance income
|(65)
|(1)
|(1)
|-
|Finance expenses
|1,630
|1,238
|2,894
|-
|Depreciation of property, plant and equipment
|898
|497
|1,155
|-
|Loss on disposal of fixed assets
|<nowiki>-</nowiki>
|21
|32
|-
|Amortisation of intangible fixed assets
|2,507
|2,559
|5,272
|-
|Share-based payment charge
|3,588
|1,672
|4,075
|-
|Increase in provisions
|<nowiki>-</nowiki>
|<nowiki>-</nowiki>
|1,302
|-
|Foreign exchange gain on cash and cash equivalents
|(4,764)
|<nowiki>-</nowiki>
|<nowiki>-</nowiki>
|-
|'''Operating cash flows before movements in working capital'''
|'''17,993'''
|'''10,217'''
|'''29,611'''
|-
|'''Working capital adjustments:'''
|
|
|
|-
|Increase in trade and other receivables
|(9,065)
|(5,160)
|(7,066)
|-
|(Decrease)/increase in trade and other payables
|(676)
|3,573
|15,729
|-
|Tax paid
|(6,062)
|(2,660)
|(4,767)
|-
|'''Net cash generated from operating activities'''
|'''2,190'''
|'''5,970'''
|'''33,507'''
|-
|Cash flows from investing activities:
|
|
|
|-
|Interest received
|65
|1
|1
|-
|Consideration paid on acquisitions, net of cash acquired
|(20,716)
|(23,796)
|(23,796)
|-
|Purchase of intangible assets
|(319)
|<nowiki>-</nowiki>
|<nowiki>-</nowiki>
|-
|Purchase of property, plant and equipment, net of disposals
|(564)
|(204)
|(684)
|-
|'''Net cash used in investing activities'''
|'''(21,534)'''
|'''(23,999)'''
|'''(24,479)'''
|-
|'''Cash flows from financing activities:'''
|
|
|
|-
|Issue of ordinary share capital
|<nowiki>-</nowiki>
|31,102
|31,102
|-
|Share issuance costs
|<nowiki>-</nowiki>
|(1,053)
|(1,053)
|-
|Net settlement of vested share options
|(322)
|<nowiki>-</nowiki>
|<nowiki>-</nowiki>
|-
|EBT purchase of Company's own shares
|(1,129)
|(187)
|(205)
|-
|Drawdown of bank borrowings
|7,477
|<nowiki>-</nowiki>
|<nowiki>-</nowiki>
|-
|Interest and bank loan fees
|(110)
|(199)
|(285)
|-
|Principal lease liability payments
|(650)
|(348)
|(814)
|-
|Interest on lease liabilities
|(53)
|(52)
|(111)
|-
|Dividends paid
|(8,547)
|(5,431)
|(8,678)
|-
|'''Net cash (used in)/generated from financing activities'''
|'''(3,334)'''
|'''23,832'''
|'''19,956'''
|-
|'''Net (decrease)/increase in cash and cash equivalents'''
|'''(22,678)'''
|'''5,803'''
|'''28,984'''
|-
|Cash and cash equivalents at beginning of the period
|63,516
|34,012
|34,012
|-
|Effect of exchange rate fluctuations on cash held
|6,926
|217
|520
|-
|'''Cash and cash equivalents at end of the period'''
|'''47,764'''
|'''40,032'''
|'''63,516'''
|}



0.61% of GDP is spent on management consultancy services.
{| class="wikitable"
|+GDP-weighted spending on consultancy in 2005<ref>Source: Datamonitor (2008).</ref>
!Country
!Consulting revenue (billion)
!GDP (billion)<ref>World Bank Figures. 2005 Available at: <nowiki>http://data.worldbank.org/indicator/NY.GDP.PCAP.CD?page</nowiki> = 1</ref>
!Consulting spend/GDP (%)
|-
|USA
|112.50
|13,094.79
|0.86%
|-
|United Kingdom
|19.40
|2,321.84
|0.84%
|-
|Germany
|18.50
|2,767.30
|0.67%
|-
|Japan
|20.40
|4,572.81
|0.45%
|-
|France
|8.40
|2,137.36
|0.39%
|-
|Italy
|2.60
|1,786.07
|0.15%
|-
|China
|2.34
|2,256.70
|0.10%
|-
|India
|1.49
|834.05
|0.18%
|-
|South Korea
|1.64
|844.20
|0.19%
|}

===Economic links to cash flow patterns ===
{| class="wikitable"
|+Economic links to cash flow patterns
|-
!Cash flow type!!Introduction!!Growth!!Shake out!!Mature!!Decline
|-
|Operating|| style="background: red; color: white;" |-|| style="background: green; color: white;" |+
| style="background: orange; color: white;" | +/-|| style="background: green; color: white;" |+|| style="background: red; color: white;" |-
|-
|Investing|| style="background: red; color: white;" |-|| style="background: red; color: white;" |-|| style="background: orange; color: white;" |+/-|| style="background: red; color: white;" |-
| style="background: green; color: white;" | +
|-
|Financing|| style="background: green; color: white;" |+|| style="background: green; color: white;" |+|| style="background: orange; color: white;" |+/-|| style="background: red; color: white;" |-|| style="background: orange; color: white;" |+/-
|}

==References and notes==

<references />