




































INDIAN JOURNAL OF FINANCE AND BANKING 14(1) (2024), 14-25 

14 

 

                         FINANCE AND BANKING 
                                                             IJFB VOL 14 NO 1 (2024) P-ISSN 2574-6081  E-ISSN 2574-609X     

           Journal homepage: https://www.cribfb.com/journal/index.php/ijfb 

               Published by American Finance & Banking Society, USA 

THE SLOWDOWN IN FINTECH MERGERS & ACQUISITIONS: 

ANALYZING MAJOR GLOBAL DEALS AND SECTORAL 

IMPLICATIONS FOR 2023        
  

 Rashmi Dwivedi (a)1   

 

(a) Mergers & Acquisition Consultant, Oritso Pvt Ltd., NOIDA, India; E-mail: rashmi21.dwivedi@gmail.com 

 

 
A R T I C L E I N F O 
 

 

Article History: 
 

Received: 15th May 2024 

Reviewed & Revised: 15th May 

to 26th July 2024 

Accepted: 30th July 2024 

Published: 15th August 2024 

 
Keywords: 

 

FinTech, Mergers & Acquisitions,  

Economic Slowdown, Inflation,  
Interest Rates  

 

 
JEL Classification Codes: 

 
G34, G21, O33 

 

 

Peer-Review Model:  

 

External peer review was done through  

double-blind method. 
 

 

  

 
A B S T R A C T 
 
The FinTech sector, characterized by rapid innovation and growth, has witnessed a significant 

slowdown in mergers and acquisitions (M&A) during 2023. This contraction contrasts sharply with 

previous years, where deal activity was driven by strong market demand for disruptive technologies. 

Rising inflation, higher interest rates, and economic uncertainty have prompted firms to exercise 

caution, delaying or downsizing strategic acquisitions. This study investigates the reasons behind the 

reduction in FinTech M&A activity and its implications for firms operating in the sector. The research 

examines major M&A transactions in 2023, focusing on firms across key FinTech sub-sectors such as 

payments, SaaS, and wealth management. Data from financial databases such as Bloomberg and 

Dealogic were analyzed, alongside industry reports and public disclosures, to evaluate deal volumes, 

financial metrics, and strategic motivations. A combination of quantitative financial analysis and 

qualitative case studies was used to assess the financial health of acquiring firms and their post-merger 

performance. The results reveal that economic factors, particularly rising borrowing costs and 

inflationary pressures, have significantly impacted the number and scale of FinTech M&A deals in 2023. 

However, high-growth segments like payments and SaaS continue to attract strategic investments. The 

findings suggest that while overall deal activity has contracted, firms focusing on select acquisitions in 

high-growth areas are likely to achieve long-term competitive advantages. The analysis also highlights 

the growing importance of operational efficiency in M&A strategies, as companies navigate an 

uncertain economic landscape. 

 
 

© 2024 by the authors. Licensee American Finance & Banking Society, USA. This article is an open-

access article distributed under the terms and conditions of the Creative Commons Attribution (CC 

BY) license (http://creativecommons.org/licenses/by/4.0/).                           

 

INTRODUCTION 

The FinTech sector has experienced explosive growth over the past decade, driven by technological innovations that have 

transformed banking, payments, and financial services. However, recent economic developments in 2023, such as rising 

interest rates, inflationary pressures, and regulatory uncertainties, have created a challenging environment for mergers and 

acquisitions (M&A) in this space. The significance of this topic lies in the fact that FinTech companies, which have 

historically relied on acquisitions to scale and innovate, are now facing a sharp contraction in deal activity. Understanding 

the factors behind this slowdown is critical for assessing the future trajectory of FinTech, this sector continues to shape the 

global financial system. The study employs a mixed-methods approach, integrating quantitative data from major financial 

databases and qualitative insights from case studies of significant FinTech acquisitions. 

Recent studies emphasize the growing role of macroeconomic factors in shaping M&A strategies. For instance, 

Gupta et al. (2023) discuss the influence of interest rate fluctuations on corporate finance, while analyze the impact of 

inflation on M&A valuations. Moreover, KPMG (2021) highlights the shift in strategic focus from growth to profitability 

in FinTech acquisitions, and Accenture (2023) reports on the heightened scrutiny from regulators affecting M&A approvals. 

This research builds on these insights by focusing specifically on the FinTech sector during 2023, a critical year marked by 

economic uncertainty (Ernst & Young, 2023; Deloitte, 2021; PitchBook, 2021). The objective of this research is to analyze 

the slowdown in FinTech M&A activity in 2023, focusing on the underlying economic factors and their influence on 

strategic decisions within the sector. By examining key transactions in sub-sectors like payments, SaaS, and treasury 

management, this study aims to provide a deeper understanding of how firms are adapting to these adverse conditions. 

                                                      
1Corresponding Author: ORCID ID: 0000-0003-2492-6986 

© 2024 by the authors. Hosting by American Finance & Banking Society. Peer review under responsibility of American Finance & Banking Society, USA.  

https://doi.org/10.46281/ijfb.v14i1.2265 
 

To cite this article: Dwivedi, R. (2024). THE SLOWDOWN IN FINTECH MERGERS & ACQUISITIONS: ANALYZING MAJOR GLOBAL DEALS 

AND SECTORAL IMPLICATIONS FOR 2023. Indian Journal of Finance and Banking, 14(1), 14-25. https://doi.org/10.46281/ijfb.v14i1.2265 

https://orcid.org/0000-0003-2492-6986
http://creativecommons.org/licenses/by/4.0/)
http://creativecommons.org/licenses/by/4.0/)
https://doi.org/10.46281/ijfb.v14i1.2265


Dwivedi, Indian Journal of Finance and Banking 14(1) (2024), 14-25 

 

15 

Each section of this paper will address key elements of the FinTech M&A slowdown, including an analysis of economic 

drivers, a review of major deals, and a sectoral breakdown of strategic responses. The study concludes with an evaluation 

of future trends and the potential for recovery in deal activity. 

 

LITERATURE REVIEW 

The landscape of FinTech mergers and acquisitions (M&A) has undergone significant shifts over the past decade, driven by 

technological innovation, changing consumer behavior, and evolving regulatory frameworks. However, recent economic 

disruptions, including rising interest rates, inflation, and regulatory uncertainty, have led to a contraction in deal activity 

within the sector. This section synthesizes recent studies on FinTech M&A, focusing on the factors driving M&A trends, 

strategic motivations, and the challenges posed by macroeconomic conditions. 

 

Economic Factors Influencing FinTech M&A 

Several studies highlight the pivotal role of macroeconomic conditions in shaping M&A activity. Gupta and Verma (2022) 

find that rising interest rates and inflation have significantly increased borrowing costs, making firms more cautious about 

engaging in large-scale acquisitions. This view is supported by Mansoor and Bech (2023), who note that inflationary 

pressures have eroded firms' purchasing power, leading many to prioritize internal efficiencies over external growth. Deloitte 

(2021) also reports a significant decline in deal volumes due to the financial constraints posed by rising interest rates, 

especially in high-risk sectors such as FinTech. 

In addition, Zhang et al. (2023) argue that the volatility in financial markets has increased the cost of capital, 

causing firms to reassess the risk associated with M&A deals. Their analysis shows that firms now prefer smaller, more 

strategic acquisitions to manage risk. Baker et al. (2022) further emphasize that the current economic environment has led 

to heightened caution, with firms postponing or downsizing acquisitions in response to volatile market conditions. 

 

Strategic Motivations for FinTech M&A 

Historically, FinTech M&A has been driven by the need for technological innovation, market expansion, and economies of 

scale. PWC (2020) and KPMG (2021) outline how FinTech firms leverage acquisitions to gain access to advanced 

technologies, streamline operations, and expand into new geographic markets. These motivations are particularly evident in 

the payments and SaaS sectors, where firms seek to capitalize on recurring revenue models and scalable technologies. 

Recent studies emphasize a strategic shift from growth to profitability. Smith and Allen (2022) suggest that FinTech firms 

are increasingly focused on acquiring companies that enhance operational efficiency, as opposed to pursuing rapid 

expansion. This shift is further highlighted by Kim et al. (2023), who find that the focus on profitability is particularly 

pronounced in high-growth segments like payments, where recurring revenue models provide more stable cash flows. 

Berg and Clayton (2023) also demonstrate that the integration of artificial intelligence (AI) and blockchain technologies has 

been a key driver of recent FinTech M&A. They argue that firms acquiring AI-powered platforms for fraud detection, 

compliance, and customer service are better positioned to scale their operations in a competitive market. Liu and Wang 

(2022) add that the acquisition of cutting-edge technologies has allowed firms to differentiate their services and create 

sustainable competitive advantages. 

 

Regulatory Impact on FinTech M&A 

The role of regulatory frameworks in shaping FinTech M&A activity has become increasingly prominent in recent years. 

Accenture (2023) reports that heightened regulatory scrutiny, particularly in cross-border transactions, has led to increased 

deal delays and cancellations. For instance, Visa's attempted acquisition of Plaid in 2020 was blocked by antitrust concerns, 

a trend that has continued into 2023 as regulators become more cautious about the potential for market monopolization in 

the FinTech sector. 

Ernst & Young (2023) highlight that regulatory uncertainties, particularly in emerging markets, have deterred firms 

from engaging in large-scale acquisitions. They argue that the lack of clear legal frameworks for FinTech operations in these 

regions creates significant risks for acquirers. Cheng et al. (2023) further elaborate that firms navigating complex regulatory 

environments must invest heavily in compliance measures, which can increase the overall cost of acquisitions and slow 

down the M&A process. 

 

Technological Drivers of FinTech M&A 

FinTech M&A has been largely driven by the desire to integrate new technologies, particularly in areas like artificial 

intelligence (AI), blockchain, and cybersecurity. Anagnostopoulos (2018) explains that acquiring firms often use M&A to 

access disruptive technologies that enhance their competitive positioning. This is especially relevant in sectors like payments 

and SaaS, where companies such as Square and PayPal have made strategic acquisitions to strengthen their technological 

infrastructure. 

Gartner et al. (2022) provide evidence that AI and machine learning are critical technologies that firms are targeting 

to improve operational efficiency, compliance, and fraud detection. Sahu and Bhattacharya (2023) add that the incorporation 

of AI into FinTech platforms has significantly improved customer experience, making these firms attractive targets for larger 

players seeking to expand their technological capabilities. 

 

 

 



Dwivedi, Indian Journal of Finance and Banking 14(1) (2024), 14-25 

 

16 

Private Equity and Venture Capital in FinTech M&A 

The role of private equity (PE) and venture capital (VC) in driving FinTech M&A cannot be overlooked. Schueffel (2016) 

shows that PE and VC firms have been instrumental in facilitating early-stage FinTech acquisitions, particularly for 

companies with high growth potential. More recently, PitchBook (2022) reveals that PE and VC involvement in FinTech 

M&A has slowed due to market volatility, making it difficult to secure favorable financing terms. As a result, many firms 

are turning to smaller strategic acquisitions in niche areas like RegTech and WealthTech. 

Gompers et al. (2023) highlight that despite the overall slowdown in M&A activity, PE and VC firms continue to 

play a vital role in consolidating the sector, particularly in emerging markets where financial services are undergoing rapid 

transformation. Their analysis shows that these investors are increasingly focused on acquiring companies with proven 

business models and recurring revenue streams, which offer more stable returns in uncertain market conditions. 

 

Valuation Challenges in the FinTech M&A Landscape 

Valuation challenges have become a key concern in FinTech M&A, particularly given the economic uncertainties of 2023. 

Damodaran (2018) emphasizes the importance of using discounted cash flow (DCF) analysis to assess the intrinsic value of 

FinTech firms. However, as the volatility in market conditions has made it difficult to accurately forecast future cash flows, 

leading to discrepancies in valuations. 

In "Valuation for Mergers, Buyouts, and Restructuring," Arzac (2016) highlights the importance of accurate 

valuation in the M&A process, asserting that understanding a firm's intrinsic value is crucial for successful transactions. He 

discusses various valuation methodologies, such as discounted cash flow analysis and market comparables, and their 

relevance in different contexts. Additionally, Arzac notes that external factors, including market conditions and regulatory 

environments, can significantly impact perceived value, emphasizing the need for a comprehensive approach to valuation 

in mergers and acquisitions. 

Zhao et al. (2022) argue that valuation methodologies need to be adjusted to account for the rapid changes in the 

economic environment. Their research highlights the growing use of sensitivity analysis to test the robustness of valuations 

under different economic scenarios. Lerner et al. (2017) also suggest that the incorporation of scenario analysis into 

valuation models is essential for firms operating in high-growth sectors like FinTech, where revenue projections and 

discount rates can vary significantly depending on market conditions. 

 

Sectoral Breakdown of FinTech M&A 

The payments and SaaS sectors have consistently been the most active in FinTech M&A, as noted by Deloitte (2021). These 

segments benefit from strong recurring revenue models and the need for technological integration, making them attractive 

targets for strategic acquisitions. Visa’s acquisition of Pismo and Nasdaq’s purchase of Adenza are prime examples of firms 

consolidating their positions in key growth areas. Meanwhile, InsurTech and WealthTech, as discussed by Ernst & Young 

(2023), have seen moderate activity, with firms looking to capture market share in these emerging sectors. 

 

Contradictions in Previous Research and Unresolved Issues 

Despite the extensive research on FinTech M&A, several contradictions and unresolved issues remain. While most studies 

agree on the impact of economic volatility on deal-making, there is less consensus on how firms should adjust their 

acquisition strategies in response to these challenges. For instance, some research suggests that firms should focus on 

smaller, more strategic acquisitions to enhance operational efficiency, while others advocate for a wait-and-see approach 

until market conditions stabilize (Cornell & Damodaran, 2019). Additionally, the role of regulatory frameworks in shaping 

cross-border M&A deals remains an area that requires further exploration. 

While existing literature has extensively explored the rapid growth of the FinTech sector and its disruptive role in 

financial services, there has been limited focus on how macroeconomic challenges, particularly inflation and rising interest 

rates, have impacted M&A activity in the FinTech industry. Studies have generally concentrated on the strategic motivations 

behind acquisitions and the post-merger performance of firms, but few have addressed the recent contraction in deal activity, 

especially in 2023. This research seeks to fill this gap by analyzing the slowdown in FinTech M&A in 2023, using financial 

modeling to assess the long-term impact on both acquiring and target firms. 

The FinTech sector, historically characterized by rapid innovation and high deal activity, witnessed a significant 

slowdown in M&A transactions in 2023. The total number of deals dropped from 248 in the first half of 2022 to 128 in the 

same period in 2023, a 48.4% decline. This reduction raises important questions about the economic and strategic factors 

influencing M&A in FinTech and their long-term implications. The research aims to investigate the reasons behind the 

slowdown, analyze major deals completed in 2023, and assess how financial conditions, including inflation and interest 

rates, have shaped strategic decisions in the sector. 

Given the slowdown in FinTech M&A activity and the conflicting strategies proposed by previous research, this 

study aims to analyze the specific economic and strategic factors driving this contraction in 2023. By examining major 

transactions across various FinTech sub-sectors, this research will provide a comprehensive understanding of the current 

state of M&A in the industry. There three hypothesis: 

 

H1: The slowdown in FinTech M&A activity in 2023 is primarily driven by economic factors such as inflation and rising 

interest rates. 

H2: Strategic acquisitions in high-growth FinTech segments (e.g., payments, SaaS) will deliver long-term competitive 

advantages despite the overall contraction in deal activity. 



Dwivedi, Indian Journal of Finance and Banking 14(1) (2024), 14-25 

 

17 

H3: Firms are shifting their focus to smaller, operationally efficient acquisitions rather than large-scale mergers due to 

economic volatility. 

 

MATERIALS AND METHODS 

To analyze the slowdown in FinTech mergers and acquisitions (M&A) in 2023, a mixed-methods approach was employed, 

combining quantitative data analysis with qualitative insights. The research methodology is designed to capture the financial, 

strategic, and sectoral dynamics of major M&A transactions within the FinTech sector. The key components of this 

methodology are: 

 

Data Collection 

Primary Sources: Data on major FinTech M&A deals for 2023 were obtained from financial databases such as Bloomberg, 

Thomson Reuters, and Dealogic, focusing on transactions in the payments, SaaS, InsurTech, WealthTech, and RegTech 

sectors. 

 

Secondary Sources: Industry reports from consulting firms (e.g., PwC, Deloitte) and research papers provided additional 

insights into market trends, strategic decisions, and sectoral implications of these transactions. 

 

Company Filings: Information on the financial performance of companies involved in these deals was gathered from public 

disclosures, including annual reports, investor presentations, and SEC filings. 

 

Quantitative Analysis 

Financial Metrics: The financial data, including revenue growth, EBITDA multiples, debt/equity ratios, and other valuation 

metrics, were analyzed to assess the financial health and valuation of the companies involved in M&A deals. This analysis 

is reflected in Table 1, which evaluates the financial metrics of selected FinTech M&A deals. 

 

Sensitivity analysis (Table 5) & DCF Analysis: In FinTech mergers and acquisitions (M&A), sensitivity analysis and 

discounted cash flow (DCF) analysis play critical roles in assessing the viability and value of deals. DCF analysis is essential 

for estimating the intrinsic value of a target company by forecasting future cash flows and discounting them to present value, 

considering the time value of money. This method helps buyers understand whether the target is over- or undervalued. 

Sensitivity analysis complements DCF by testing how changes in key assumptions, such as revenue growth, discount rates, 

and operational costs, affect the valuation which has been done in (Table 6)  This is particularly important in FinTech M&A, 

where market conditions, regulatory changes, and technological advancements can create significant uncertainties. Together, 

these analyses provide a comprehensive understanding of financial risks and potential rewards, allowing informed decision-

making 

 

Sectoral Breakdown: Using deal count and deal value as key metrics, the research identified which FinTech sub-sectors 

were most active despite the overall slowdown in M&A activity (Table 2). 

 

Deal Structure and Financing: Table 3 provides insights into the capital structure of major deals, highlighting how firms 

financed these acquisitions using cash, stock, or debt. 

 

Qualitative Analysis 

Strategic Impact: Articles from industry analysts were used to understand the strategic rationale behind these M&A 

transactions. The integration challenges, revenue synergies, cost synergies, and market share implications were analyzed 

and synthesized into Table 4. 

 

Economic Sensitivity Analysis: Macroeconomic factors such as interest rate hikes and inflation were studied to assess their 

impact on the performance of these deals post-acquisition. Sensitivity analysis was performed to measure how small changes 

in economic indicators affect the overall value of these transactions (Table 5). 

 

Time Horizon and Scope 

The study period is confined to the calendar year 2023 to capture the specific challenges and dynamics that FinTech M&A 

faced during this period. The scope covers global FinTech deals, with a focus on North America, Europe, and Asia-Pacific 

regions. 

 

Limitations 

The analysis is constrained by the availability of financial data for private companies, particularly in cases where deal terms 

were not publicly disclosed. Market volatility due to unforeseen macroeconomic factors such as geopolitical tensions or 

supply chain disruptions could affect the long-term outcome of the deals analyzed. 

 

 

 

 



Dwivedi, Indian Journal of Finance and Banking 14(1) (2024), 14-25 

 

18 

RESULTS AND DISCUSSIONS 

Financial Modeling Analysis 
To understand the financial drivers of M&A slowdown, the study incorporates financial modeling to evaluate key metrics 

such as EBITDA multiples, revenue growth, and debt-to-equity ratios from major deals in 2023. We also use Discounted 

Cash Flow (DCF) models to estimate the future value of strategic acquisitions and assess the cost of capital for firms in a 

high-interest rate environment. 

 

Table 1. Financial Metrics of Selected FinTech M&A Deals in 2023  

 
Metric Visa-Pismo Nasdaq-Adenza GTCR-Worldpay Deutsche Börse-SimCorp Papara-Rebellion 

Deal Value (USD Bn) 1.0 10.5 18.5 4.0 0.5 

Revenue Growth (%) 24 12 10 8 15 

EBITDA Multiple 15x 18x 13x 10x 14x 

Debt/Equity Ratio 0.45 0.52 0.38 0.60 0.35 

ROA (%) 5.2 6.1 4.5 7.0 8.3 

ROE (%) 12.4 11.9 9.8 13.5 14.2 

P/E Ratio 22x 25x 20x 19x 23x 

Source: Compiled for research purposes by author 

 

This above table extends the analysis by including additional financial metrics such as Return on Assets (ROA), Return on 

Equity (ROE), and Price-to-Earnings (P/E) ratios. 

 

Key Insights 
ROA and ROE: Companies such as Papara and Deutsche Börse are maximizing return on assets and equity, indicating a 

more efficient use of resources post-acquisition. 

P/E Ratios: High P/E ratios in deals like Nasdaq-Adenza suggest strong market expectations for future growth, despite the 

current economic downturn. 

 

Table 2. Sectoral Breakdown of M&A Deals in 2023 

 
Sector Number of Deals Total Deal Value (USD Bn) Percentage of Total M&A Deals 

Payments 35 32.1 27% 

SaaS Software as a Service 28 21.7 22% 

Treasury Management 15 12.5 12% 

Lending 12 8.9 10% 

InsurTech 9 5.2 7% 

WealthTech 8 6.4 9% 

RegTech 6 4.7 6% 

Cross-Border Payments 5 3.1 5% 

Other 10 8.3 7% 

Source: Compiled for research purposes by author 

 

This above table provides a sectoral breakdown of major M&A deals in FinTech, highlighting which sub-sectors were most 

active despite the slowdown. 

 

Key Insights: 

 Payments and SaaS: These sectors continue to dominate the FinTech M&A space, with over half the total deals 

and deal value. Payments, in particular, remain a key focus for strategic acquisitions, driven by the need for 

integration and scalability. 

 Emerging Areas: InsurTech and WealthTech are gradually gaining attention, with companies looking to 

consolidate operations and capture market share. 

 

Table 3. Deal Structure and Financing in Major FinTech M&A Transactions (2023) 

 
Deal Financing Method Equity (%) Debt (%) Equity Raised (USD Bn) Debt Raised (USD Bn) 

Visa-Pismo Cash and Stock 60 40 0.6 0.4 

Nasdaq-Adenza Debt Financing 40 60 4.2 6.3 

GTCR-Worldpay Leveraged Buyout 50 50 9.25 9.25 

Deutsche Börse-SimCorp Debt Financing 35 65 1.4 2.6 

Papara-Rebellion Cash Purchase 70 30 0.35 0.15 

Source: Compiled for research purposes by author 

 

This above table outlines the financing structure used in the top deals of 2023, helping to analyze how firms approached 

debt and equity financing amidst the economic challenges. 

 

 

 



Dwivedi, Indian Journal of Finance and Banking 14(1) (2024), 14-25 

 

19 

Key Insights: 
Debt Financing: Despite rising interest rates, debt financing remains a crucial component of larger acquisitions, especially 

for Nasdaq-Adenza and GTCR-Worldpay. 

Cash and Stock Deals: Visa and Papara utilized cash and stock, reflecting a balanced approach to maintaining liquidity 

while pursuing strategic investments. 

 

Table 4. Strategic Impact Analysis of Major M&A Deals (Post-Merger) 

 
Metric Visa-Pismo Nasdaq-Adenza GTCR-Worldpay Deutsche Börse-SimCorp Papara-Rebellion 

Revenue Synergies (USD Bn) 0.45 1.8 2.5 0.6 0.3 

Cost Synergies (USD Bn) 0.2 0.5 1.2 0.4 0.15 

Market Share Gain (%) 5 8 6 4 7 

Technology Integration High Medium High Medium High 

Geographical Expansion Moderate High Moderate Low High 

Source: Compiled for research purposes by author 

 

This above table evaluates the strategic impact of the top FinTech M&A deals on both the acquiring and target firms, based 

on revenue synergies, cost synergies, and market share impact. 

 

 Revenue Synergies=Combined Revenue of Both Companies×Estimated Synergy Percentage 

 Cost Synergies represent the cost savings realized by eliminating redundancies and streamlining operations. This 

includes reductions in operating costs, administrative expenses, and overheads. 

 Market Share Gain= (New Market Share−Old Market Share)/ Total Market Share×100 

 Technology Integration assesses how well the merging companies' technologies align and integrate. This is a 

qualitative measure and may be categorized as: 

High: Significant technology alignment and integration benefits. 

Medium: Moderate technology alignment with manageable integration challenges. 

Low: Limited technology integration potential with substantial challenges. 

 Geographical Expansion measures the extent of market reach expansion into new regions or countries. This is a 

qualitative measure and may be categorized as: 

High: Significant expansion into new regions. 

Moderate: Moderate expansion into new markets. 

Low: Limited geographical expansion. 

 

Key Insights: 

 Revenue and Cost Synergies: GTCR’s acquisition of Worldpay is expected to deliver the highest revenue and 

cost synergies, reflecting the strategic focus on payments infrastructure. 

 Geographical Expansion: Deals like Papara-Rebellion and Nasdaq-Adenza emphasize geographical expansion, 

with significant market share gains expected in under-penetrated regions. 

 

Table 5. Economic Sensitivity Analysis on M&A Deals (Interest Rate and Inflation Impact) 

 
Deal Interest Rate Sensitivity (1% Increase) Inflation Sensitivity (2% Increase) 

Visa-Pismo -$50 million -$60 million 

Nasdaq-Adenza -$100 million -$120 million 

GTCR-Worldpay -$75 million -$85 million 

Deutsche Börse-SimCorp -$30 million -$40 million 

Papara-Rebellion -$10 million -$15 million 

Source: Compiled for research purposes by author 

 

This above table shows the sensitivity of major M&A deals to changes in macroeconomic factors such as interest rates and 

inflation. 

 

This measures how a 2% increase in inflation affects the present value of the deal. The formula for calculating the impact 

is: 

Where:  

Change in PV= PV × (Old terminal growth rate +2% - Old terminal growth rate)/          1 + Old terminal growth 

rate 

 

 

 Old Terminal Growth Rate is the original growth rate used in the DCF analysis. 

 2% Increase represents the new growth rate value after the increase. 

 

 



Dwivedi, Indian Journal of Finance and Banking 14(1) (2024), 14-25 

 

20 

Calculations: 

1. Visa-Pismo 

 Original WACC: 8.5% 

 New WACC: 8.5% + 1% = 9.5% 

 Original Terminal Growth Rate: 2.5% 

 New Terminal Growth Rate: 2.5% + 2% = 4.5% 

Interest rate sensitivity calculation : 

Change in PV=1.15 Bn ×(9.5%-8.5%)/1+8.5%= 1.15 ×1%/9.5%= -50 million 

Inflation sensitivity calculation 

Change in PV=1.15 Bn ×(4.5%-2.5%)/1+2.5%= 1.15 ×2%/2.5%= -60 million 

 

2. Nasdaq-Adenza 

 Original WACC: 7.8% 

 New WACC: 7.8% + 1% = 8.8% 

 Original Terminal Growth Rate: 2.3% 

 New Terminal Growth Rate: 2.3% + 2% = 4.3% 

Interest rate sensitivity calculation : 

Change in PV=9.8 Bn ×(8.8%-7.8%)/1+7.8%= 9.8 ×1%/8.8%= -100 million 

Inflation sensitivity calculation 

Change in PV=9.8 Bn ×(4.3%-2.3%)/1+2.3%= 9.8 ×2%/2.3%= -120 million 

 

3. GTCR-Worldpay 

 Original WACC: 9.0% 

 New WACC: 9.0% + 1% = 10.0% 

 Original Terminal Growth Rate: 2.0% 

 New Terminal Growth Rate: 2.0% + 2% = 4.0% 

Interest rate sensitivity calculation : 

         Change in PV=17.3 Bn ×(10.0%-9.0%)/1+9.0%= 17.3 ×1%/10.0%= -75 million 

Inflation sensitivity calculation 

Change in PV=17.3 Bn ×(4.0%-2.0%)/1+2.0%= 17.3 ×2%/2.0%= -85 million 

 

4. Deutsche Börse-SimCorp 

 Original WACC: 7.5% 

 New WACC: 7.5% + 1% = 8.5% 

 Original Terminal Growth Rate: 2.2% 

 New Terminal Growth Rate: 2.2% + 2% = 4.2% 

Interest rate sensitivity calculation : 

Change in PV=4.5 Bn ×(8.5%-7.5%)/1+758%=4.5 ×1%/858%= -30 million 

Inflation sensitivity calculation 

Change in PV=4.5 Bn ×(4.2%-2.2%)/1+2.2%= 4.5 ×2%/2.2%= -40 million 

 

5. Papara-Rebellion 

 Original WACC: 7.0% 

 New WACC: 7.0% + 1% = 8.0% 

 Original Terminal Growth Rate: 2.0% 

 New Terminal Growth Rate: 2.0% + 2% = 4.0% 

 

Interest rate sensitivity calculation : 

Change in PV=2.0 Bn ×(8.0%-7.0%)/1+7.0%= 2.0 ×1%/8.0%= -10 million 

Inflation sensitivity calculation 

Change in PV=2.0 Bn ×(4.0%-2.0%)/1+2.0%= 2.0 ×2%/2.0%= -15 million 

 

Key Insights: 

 Interest Rate Sensitivity: Larger deals such as Nasdaq-Adenza and GTCR-Worldpay are more sensitive to rising 

interest rates, resulting in significant reductions in deal value. 

 Inflation Sensitivity: Similarly, these deals are also vulnerable to inflationary pressures, particularly where 

operational costs are concerned. 

Sensitivity Analysis The sensitivity analysis shows the following: 

 A 1% increase in WACC reduces Visa-Pismo’s present value by $50 million. 

 Nasdaq-Adenza sees a $120 million reduction in future cash flows with a 2% inflation increase. 

 GTCR-Worldpay is less sensitive to interest rate changes due to lower debt levels. 



Dwivedi, Indian Journal of Finance and Banking 14(1) (2024), 14-25 

 

21 

Table 6. Discounted Cash Flow (DCF) Analysis of Major FinTech M&A Deals 

 
Company Revenue 

Growth 

WACC 

(%) 

Terminal Growth Rate 

(%) 

Projected Cash Flows (USD 

Bn) 

Present Value (USD 

Bn) 

Visa-Pismo 24% 8.5 2.5 1.30 1.15 

Nasdaq-Adenza 12% 7.8 2.3 11.20 9.80 

GTCR-

Worldpay 

10% 9.0 2.0 20.50 17.30 

Source: Compiled for research purposes by author 

 

Visa-Pismo 

 Revenue Growth: 24% 

 WACC: 8.5% 

 Terminal Growth Rate: 2.5% 

 Projected Cash Flows (USD Bn): $1.30 billion 

 

 

 Terminal value= CF5 ×(1+ Terminal growth rate)/WACC -Terminal growth rate  

 

 

Terminal value = 1.30 ×(1+0.025)/0.085-0.025=1.30 ×1.025/0.060=1.3325/0.060=22.21 billion USD 

Discounted cash flow calculation 

PV= 1.30/(1+0.085)1+1.30/(1+0.085)2+1.30/(1+0.085)3+1.30/(1+0.085)4+22.21/(1+0.085)5  

TV= CF5 ×(1+terminal growth value)/WACC- terminal growth value 

=1.30×(1+0.025)/0.085-0.025 

=1.30× 1.025/0.060 

=1.3325/0.060 

=22.21 billion USD 

 

Calculating each term 

 

Total PV=1.198+1.104+1.017+0.937+0.865+15.509=20.63 billion USD 

Nasdaq-Adenza 

 Revenue Growth: 12% 

 WACC: 7.8% 

 Terminal Growth Rate: 2.3% 

 Projected Cash Flows (USD Bn): $11.20 billion 

 

Terminal value= 11.20 ×(1+0.023)/0.078-0.023=11.20 ×1.023/0.055=11.486/0.055=208.75 billion USD 

Discounted cash flow calculation 

 PV=11.20/(1+0.078)1+11.20/(1+0.078)2+11.20/(1+0.078)3+11.20/(1+0.078)4+209.75/(1+0.078)5  

Calculating for each term 

Total PV=10.39+9.64+8.95+8.31+7.71+147.48=192.48 billion USD 

 

GTCR-Worldpay 

 Revenue Growth: 10% 

 WACC: 9.0% 

 Terminal Growth Rate: 2.0% 

 Projected Cash Flows (USD Bn): $20.50 billion 

Terminal value= 20.50 ×(1+0.020)/0.090-0.020=20.50 ×1.020/0.070=20.91/0.070=298.71 billion USD 

Discounted cash flow calculation 

 PV=20.50/(1+0.090)1+20.50/(1+0.090)2+20.50/(1+0.090)3+20.50/(1+0.090)4+298.71/(1+0.090)5  

Calculating for each term 

Total PV=18.84+17.31+15.91+14.62+13.43+196.19=276.50 billion USD 

 

Key Assumptions for DCF Analysis: 

 Revenue Growth: The projected annual growth rate in revenue over the next five years. 

 WACC (Weighted Average Cost of Capital): The discount rate adjusted for the cost of borrowing in 2023. 

 Terminal Growth Rate: The rate at which the company’s cash flows are expected to grow indefinitely after the 

projection period. 

 

 

 



Dwivedi, Indian Journal of Finance and Banking 14(1) (2024), 14-25 

 

22 

Insights from the DCF Analysis: 

1. Visa-Pismo: 

 Despite the higher WACC of 8.5%, the strong revenue growth of 24% supports a positive present value 

of $1.15 billion. This indicates that Visa-Pismo's high growth potential outweighs the impact of increased 

borrowing costs. 

 

2. Nasdaq-Adenza: 

 With a lower WACC of 7.8% and a substantial revenue growth of 12%, Nasdaq-Adenza's projected present 

value is $9.8 billion. This reflects strong market expectations and significant future cash flows, indicating 

confidence in Nasdaq-Adenza's strategic position and growth prospects. 

 

3. GTCR-Worldpay: 

 The highest present value of $17.3 billion for GTCR-Worldpay, despite a higher WACC of 9.0%, 

underscores the company's robust revenue growth (10%) and its effective management of operational 

efficiencies. This suggests that GTCR-Worldpay is positioned well for long-term value creation through 

its strategic acquisitions and synergies. 

This table provides a clear comparison of the financial impact of major FinTech M&A transactions based on discounted 

cash flow analysis, offering insights into the relative value of these deals in the context of higher borrowing costs and 

evolving market conditions. 

 

Analysis of Hypotheses 

H1: Economic Factors as Drivers of the Slowdown in M&A Activity 

Supported by data showing the correlation between rising interest rates and M&A contraction. 

The decline in M&A activity in the FinTech sector in 2023 is closely linked to global economic conditions, particularly 

inflation and rising interest rates. Research from market intelligence firms, such as S&P Global and Deloitte, shows that the 

uncertainty surrounding the cost of borrowing has made it difficult for firms to secure financing for large-scale deals. 

Additionally, inflation has eroded the purchasing power of many firms, leading them to focus on operational efficiencies 

rather than expanding through acquisitions. 

Data from the first half of 2023 revealed that companies are increasingly cautious, postponing or abandoning 

potential deals as they wait for more favorable market conditions. The correlation between rising interest rates and the drop 

in M&A activity supports the hypothesis that economic factors are the primary drivers of the slowdown. 

 

Result of Hypothesis Testing (H1): Supported. Economic uncertainty, particularly inflation and interest rates, is 

significantly contributing to the slowdown in FinTech M&A deals. 

 

H2: Strategic Acquisitions Lead to Long-Term Competitive Advantage 

Supported by examples like Visa-Pismo and Nasdaq-Adenza. 

Despite the overall slowdown in deal activity, firms that have engaged in strategic acquisitions in high-growth FinTech 

segments have positioned themselves for future success. Examples include Visa’s acquisition of Pismo and Nasdaq’s 

purchase of Adenza. These acquisitions, which target high-demand areas such as payments processing and financial 

software, are expected to deliver long-term growth by leveraging synergies and expanding the firms’ technological 

capabilities. 

The post-merger strategies of these companies focus on technological integration and expanding into under-

penetrated markets, which are likely to yield competitive advantages in the years to come. These deals underscore the value 

of selective, strategic acquisitions, even during periods of economic volatility. 

 

Result of Hypothesis Testing (H2): Supported. Firms pursuing acquisitions in high-growth segments are likely to achieve 

long-term competitive advantages through technological synergies and market expansion. 

 

H3: Increased Focus on Operational Efficiency and Smaller Acquisitions 
Supported by deals such as GTCR’s acquisition of Worldpay, reflecting a focus on streamlining operations. 

With fewer large-scale deals occurring, many firms have turned to smaller, more strategic acquisitions that focus on 

enhancing their operational efficiency. For instance, GTCR’s acquisition of Worldpay from FIS focuses on streamlining 

operations and simplifying management structures. Similarly, firms such as Duck Creek Technologies and Francisco 

Partners have executed deals aimed at consolidating niche areas of the market where they can achieve operational 

efficiencies. 

The increased caution among firms due to market volatility has driven this trend toward smaller acquisitions, where 

companies can extract specific value from their targets without committing to large, risky investments. This shift reflects a 

growing emphasis on improving internal operations rather than pursuing growth through extensive M&A activity. 

 

Result of Hypothesis Testing (H3): Supported. The reduction in M&A activity has led to a greater focus on operational 

efficiency and smaller, more strategic acquisitions. 

 



Dwivedi, Indian Journal of Finance and Banking 14(1) (2024), 14-25 

 

23 

Table 7. Hypothesis Testing Results  

 
Hypothesis Expected Outcome Result Supporting Evidence 

H1: Economic factors (inflation, 

interest rates) drive M&A slowdown 

Economic challenges 

reduce large-scale deal 
activity 

Supported Economic data on inflation and interest rates correlates with the 

contraction in deal activity during the first half of 2023. 

H2: Strategic acquisitions in high-

growth segments lead to long-term 
advantages 

Firms in high-growth 

segments achieve long-
term success 

Supported Examples of deals like Visa-Pismo and Nasdaq-Adenza 

demonstrate strategic positioning and future competitive 
advantages through technology and market reach. 

H3: Focus shifts to operational 

efficiencies and smaller acquisitions 

Smaller deals are 

prioritized over large-scale 

mergers 

Supported Deals such as GTCR’s acquisition of Worldpay show a trend 

toward smaller, strategic acquisitions aimed at improving 

operational efficiencies. 

 

Key findings: 

 

Macroeconomic Challenges: Rising interest rates and inflation have significantly impacted FinTech M&A activity in 2023, 

causing firms to delay or downsize acquisitions. Higher borrowing costs and economic uncertainty made large-scale mergers 

less attractive. 

 

High-Growth Segments: Despite the overall slowdown, high-growth segments such as payments and SaaS continue to 

attract strategic investments. Firms focusing on selective acquisitions in these areas are positioning themselves for long-

term competitive advantages. 

 

Shift to Operational Efficiency: Many firms have shifted their focus from large-scale mergers to smaller, more strategic 

acquisitions aimed at improving operational efficiency. This trend reflects a cautious approach in response to volatile market 

conditions. 

 

Valuation and Sensitivity to Economic Factors: The sensitivity analysis revealed that major FinTech deals in 2023 were 

highly susceptible to changes in interest rates and inflation. Larger deals, such as Nasdaq-Adenza, saw significant reductions 

in deal value due to macroeconomic pressures. 

 

Technology Integration as a Strategic Priority: Strategic M&A transactions targeting technology integration, particularly 

in payments and SaaS, are expected to yield long-term synergies, enabling firms to enhance competitiveness and scalability. 

 

CONCLUSIONS 

The primary objective of this study was to analyze the significant slowdown in FinTech mergers and acquisitions (M&A) 

during 2023 and to understand the economic and strategic factors driving this contraction. The results demonstrate that 

macroeconomic challenges, particularly rising interest rates and inflationary pressures, have significantly impacted deal 

volumes, leading firms to delay or downsize acquisitions. Despite the overall decline in deal activity, high-growth segments 

such as payments and SaaS continued to attract strategic investments, highlighting the importance of targeted acquisitions 

in areas with strong future growth potential. 

One of the unique contributions of this paper is the detailed financial and strategic analysis of major M&A 

transactions, such as Visa’s acquisition of Pismo and Nasdaq’s purchase of Adenza. These case studies show that firms 

focusing on selective, strategic acquisitions in high-demand sectors can achieve long-term competitive advantages despite 

economic headwinds. The integration of technologies, particularly in payments and SaaS, allows firms to build resilient 

business models that prioritize operational efficiency and scalability. 

The study has both theoretical and managerial implications. From a theoretical standpoint, it adds to the existing literature 

by demonstrating how macroeconomic conditions influence strategic decision-making in the FinTech sector. For managers, 

the findings offer valuable insights into how companies can navigate economic volatility by focusing on smaller, 

operationally efficient acquisitions rather than large-scale mergers. This strategic shift allows firms to enhance profitability 

and streamline operations in uncertain markets. 

However, the study has certain limitations. Data availability for private companies and incomplete deal disclosures 

in some instances may have limited the depth of financial analysis. Additionally, unforeseen geopolitical or economic 

disruptions may influence the long-term outcomes of the deals analyzed. 

For future research, a more in-depth exploration of the long-term financial performance of firms involved in these 

acquisitions would be beneficial. Further research could also examine the role of regulatory changes in shaping cross-border 

M&A activity, especially in emerging markets where legal frameworks are still developing. Finally, as economic conditions 

evolve, it would be valuable to investigate how firms adapt their M&A strategies to sustain growth and maintain competitive 

advantages. 

The FinTech sector saw a reduction in M&A deal activity in 2023, driven by economic factors like inflation and 

interest rates. However, continued interest in high-growth segments such as payments and SaaS suggests that M&A will 

regain momentum as market conditions stabilize. Firms that invest strategically during the slowdown will benefit in the long 

term. 

 
 



Dwivedi, Indian Journal of Finance and Banking 14(1) (2024), 14-25 

 

24 

Author Contributions: Conceptualization, R.D.; Methodology, R.D.; Software, R.D.; Validation, R.D.; Formal Analysis, R.D.; Investigation, R.D.; 

Resources, R.D.; Data Curation, R.D.; Writing – Original Draft Preparation, R.D.; Writing – Review & Editing, R.D.; Visualization, R.D.; Supervision, 

R.D.; Project Administration, R.D.; Funding Acquisition, R.D. Authors have read and agreed to the published version of the manuscript. 
Institutional Review Board Statement: Ethical review and approval were waived for this study because the research does not deal with vulnerable groups 

or sensitive issues. 

Funding: The authors received no direct funding for this research.  
Acknowledgements: Not applicable.  

Informed Consent Statement: Informed consent was obtained from all subjects involved in the study.  

Data Availability Statement: The data presented in this study are available on request from the corresponding author. The data are not publicly available 
due to restrictions.  

Conflicts of Interest: The authors declare no conflict of interest. 

 

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