Key Takeaways
- In 2022, 2,500 US startup acquisitions occurred worth $150B
- Big Tech (FAANG) acquired 450 startups in 2023
- Median acquisition price for US startups was $45M in 2022
- Global exit timelines shortened to 5.8 years avg in 2022
- US exit velocity increased 15% post-2020 to 4.9 years
- Europe lags with 7.2 year avg time to exit in 2023
- In 2023, global startup exits totaled 4,500 deals worth $300 billion
- US startups accounted for 55% of global exits in 2022 with 2,200 deals
- European startup exits reached 1,100 in 2023, up 20% YoY, valued at $85 billion
- Global IPOs for startups fell to 150 in 2023 from 1,000 in 2021
- US tech IPOs totaled 80 in 2022 raising $25B
- Median IPO valuation for VC-backed firms was $1.2B in 2021
- 75% of VC-backed startups never exit profitably
- Only 1% of startups achieve unicorn status before exit
- 20% of exited startups return >5x to investors in 2023 cohorts
In 2023, 4,500 exits worth $300B showed acquisitions dominate, despite longer timelines and tough returns.
Acquisition Statistics
Acquisition Statistics Interpretation
Exit Trends and Regional Data
Exit Trends and Regional Data Interpretation
Global Exit Statistics
Global Exit Statistics Interpretation
IPO Statistics
IPO Statistics Interpretation
Success and Failure Rates
Success and Failure Rates Interpretation
Valuation and Multiples
Valuation and Multiples Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
David Kowalski. (2026, February 13). Startup Exit Statistics. Gitnux. https://gitnux.org/startup-exit-statistics
David Kowalski. "Startup Exit Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/startup-exit-statistics.
David Kowalski. 2026. "Startup Exit Statistics." Gitnux. https://gitnux.org/startup-exit-statistics.
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