Generally everyone working in M&A has heard that 70–90% of mergers and acquisitions fail. It’s one of the most ubiquitous statistics in corporate strategy, bordering on cliché.

And the underlying data has been iteratively validated by respected Big 4 and academic researchers, including in 2024 the most rigorous benchmark (NYU / University Buffalo assessing 40,000 transactions spanning 40+ years).

That doesn’t mean we shouldn’t question it.

Have you ever wondered how “failure” is defined? The answer tells us a lot about the state of M&A, and about opportunity for acquirers to outperform this dismal stat.

A quick analogy first: during the early decades of sonar technology, operators could detect the presence of a “contact” (something at a given distance and bearing) but couldn’t classify it. Submarine or whale? Enemy destroyer or abandoned fishing trawler? It took decades of advancement before sonar could provide data meaningful enough to support tactical decisions. Meanwhile, early sonar was educated-guesswork.

Our “70% stat” is really just that… crude detection + guesswork. It legitimately confirms widespread underperformance in M&A (for decades). BUT—the way it’s calculated means that no single company can use it to guide strategic decisions with precision.

What the “70%” Measures

The basics: a deal is categorized as “successful” only if it meets all of these criteria:

1. The acquirer’s sales growth and/or margin growth is positive over four years post-close
2. The acquirer’s stock price doesn’t decline post-acquisition
3. The acquirer records no goodwill write-off

Fail any one, and the deal is a failure. All three inputs rely solely on externally observable information: SEC filings, market data, public financial statements.

What the “70%” Leaves Out (or Can’t See)

Three limitations are worth noting, because they shape conclusions you can draw from it.

The data sample skews large and public. Stock-price-based measurement means only including publicly-traded acquirers, and also skews toward larger deals that generate measurable market reactions. This means bolt-on and tuck-in acquisitions, the type serial acquirers execute most frequently, are underrepresented. McKinsey found that bolt-on acquisitions within the acquirer’s core industry actually succeed at 80–85%.

The success criteria are super strict. A deal where revenue grew, margins expanded, and the strategic thesis fully validated, but stock price declined (due to any reason), counts as failure. The grading is pass or fail. So a $50M tuck-in that narrowly missed one margin target is graded the same as a $50B transformational disaster that met 0% of its targets.

The window captures cost before value. The “70%” measurement tracks performance up to four years post-close. Revenue synergies typically take 3–5 years to materialize. A deal performing exactly as modeled on a back-loaded synergy curve will look like a failure at year two.

Why Are We Settling for Outside-In Measurement?

This stat has always come from outside researchers using publicly available data. No qualification through acquirer and deal-specific context. Why?

• Acquirers themselves often don’t have the internal measurement infrastructure to effectively answer “did this deal succeed, based on our original reason for doing it?”
• About 20% of serial acquirers track M&A synergies systematically, and only ~43% have a synergy tracking process at all.
• Tracking synergies is challenging at best. Tracking cross-product / cross-selling revenue uplifts might not be measurable within the acquirer’s financial systems, making attribution to an M&A deal essentially guesswork.
• By the time systems integration is addressed, M&A teams are starting to roll off the project and deal KPI measurement won’t continue much past that.

Two Implications, in Different Directions

The cautionary read: If most acquirers aren’t tracking deal thesis performance against specific KPIs, then the 70% stat is certainly directionally correct. Revenue synergies that aren’t tracked aren’t managed. The absence of measurement infrastructure is a value destruction mechanism. It means the acquirer has no ability to course-correct during the 18–36 month window where intervention is still possible.

The constructive read: Better success rates already exist, for simpler deal types and where Buyers have more value-creation controls. If more serial acquirers track systematically, and implement measurement discipline, then deal KPI insights can be used to guide deals of all types. That capability compounds. An acquirer tracking deal thesis performance across ten acquisitions over five years builds a dataset showing which strategies actually work for them.

Acquirers Must Know Their Own M&A Performance (to Build Excellence)

• Define success per deal. Define KPIs per deal based on the strategic and financial assumptions baked into the rationale.
• Track deal-level KPIs for 24–36 months. Prepare to measure relevant synergies for a time period that lines up with the deal model assumptions.
• Use deal-level data to build portfolio-level intelligence. Plan to actually use the insights from the per-deal level to inform portfolio-wide analysis.

The 70% failure rate is a useful, but approximate, cautionary figure. The opportunity to outperform rests with acquirers’ awareness and commitment to defining their own success. And finding a way to measure their path to it.

Key Sources:

• Lev, B. & Gu, F. (2024). The M&A Failure Trap. Wiley. (40,000-deal, 40-year study)
• Christensen, C. et al. (2011). “The Big Idea: The New M&A Playbook.” Harvard Business Review.
• PwC (2023). M&A Integration Survey.
• Bain & Company (2022). “Bringing Science to the Art of Revenue Synergies.”
• McKinsey & Company (2020). “A Winning Formula for Deal Synergies.”
• IMAA. “Serial Acquirers: Getting Your Ducks in a Row.”
• BCG (2018). “Go-to-Market and Cross-Selling to Capture Revenue Synergies Quickly.”
• EY-Parthenon (2024). Technology Corporate Development Survey.
• Deloitte (2025). M&A Trends Survey.