For many companies, the goal of creating value from mergers and acquisitions has been elusive. BCG has long studied M&A activity by year to understand evolving trends and to identify what the activity means for value creation in the short and long terms.
Since 2003, our annual M&A report has presented analyses of buy-side and sell-side transactions tracked in our BCG M&A database, which now comprises nearly 1 million deals dating back to 1980. This year’s report examines the common pitfalls and success factors involved in setting up M&A organizations. It also considers how intensified regulatory scrutiny has affected closing timelines and how companies can adapt integration planning to maximize deal value and the employee experience. Collectively, our M&A reports offer a longitudinal view of the market’s evolution and the methods that successful dealmakers use to create value.
Explore Corporate M&A Activity by Year
The dashboard enables you to easily track M&A activity by year and explore patterns across different industries and regions.
Perspectives on Strategy and Value: Insights on creating sustainable value in an uncertain world.
The 2024 M&A Report
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The 2023 M&A Report
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Explore BCG’s Past M&A Reports
View the M&A Report Archive
The 2021 M&A Report: Mastering the Art of Breaking Up
The 2020 M&A Report: Alternative Deals Gain Traction
The 2019 M&A Report: How to Master M&A in a Downturn
The 2018 M&A Report: Synergies Take Center Stage
The 2017 M&A Report: The Technology Takeover
The 2016 M&A Report: Masters of the Corporate Portfolio
The 2015 M&A Report: Increasing Returns with M&A
The 2014 M&A Report: Don’t Miss the Exit
Winning at M&A in Emerging Markets: BRICs Versus Mortar? [2013]
Riding the Next Wave in M&A: Where Are the Opportunities to Create Value? [2011]
Seize the Opportunities in M&A: Accelerating Out of the Great Recession [2010]
Meet Our M&A Report Team
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How We Track M&A Activity by Year
Data Sets
In addition to using our proprietary data and analytics, we collected and collated financial data and relied on information from various data providers, including Refinitiv Eikon, Refinitiv DataStream, and S&P Capital IQ.
Short-Term and Long-Term Value Creation
Although analyzing different issues required us to use distinct samples, we employed the same econometric methodology to all return analyses.
To determine the “announcement return,” we derived the cumulative abnormal return (CAR), by taking the difference between the actual return on the acquirer’s stock () and the return realized in the sector index () as an approximation for expected returns, starting three days before the announcement date (–3d) and ending three days after it (3d). (See Equation 1.)
EQUATION 1
For M&A deals, we tracked the stock market performance of the acquirers or the sellers over periods of different length following the acquisition announcement. We could not track the targets because, in most cases, they are delisted from the public equity markets.
First, we measured the total shareholder return (TSR) generated by the acquirer or seller over a time period of length t. (See Equation 2.)
EQUATION 2
Second, we subtracted from the TSR the return that a benchmark index delivered over the same period, in order to find the relative total shareholder return (RTSR) that the acquirer or the seller generated—in other words, the return in excess of the benchmark return.1 (See Equation 3.)
EQUATION 3
We could not include all deals in this analysis because, for some deals, the time elapsed since the announcement was too short to allow us to calculate the returns.
1. The benchmark indexes we applied are the relevant worldwide Refinitiv (formerly Thomson Reuters) indexes.
Statistical Significance of Our Results
Generally, for longer-term analyses (such as for one- and two-year RTSR) and for the short-term analysis (that is, for CAR), we used relative measures of size impact (such as deal value compared to the enterprise value of the acquirer) as well as absolute measures of size (such as deal value) to determine whether a transaction was sufficiently material to have had an impact on overall performance.
The authors are grateful for the support provided by Paderborn University.