Key Takeaways
- In 2023, Nestle was the most active acquirer in global food M&A with 18 deals.
- PepsiCo completed 12 M&A transactions in F&B sector in 2023, focusing on snacks.
- Unilever divested 7 non-core food brands in 2023 via M&A, raising $2.1B.
- Global food M&A EV/EBITDA multiple averaged 11.2x in 2023, down from 12.8x in 2022.
- US food sector multiples compressed to 10.9x EV/EBITDA in 2023.
- Europe F&B EV/EBITDA avg 11.5x in 2023 amid inflation.
- In 2023, average target size in food M&A was $210 million in enterprise value.
- 67% of food M&A targets in 2023 were private companies.
- Mid-market deals ($50-500M) comprised 72% of F&B M&A volume 2023.
- Global food and beverage M&A deal value reached $78.4 billion in 2023, down 25% from $104.2 billion in 2022.
- US F&B M&A total value was $28.6 billion in 2023, representing 36% of global value.
- Europe food M&A value totaled $22.1 billion in 2023, a 19% decline YoY.
- In 2023, global M&A deal volume in the food and beverage industry totaled 1,248 transactions, a 12% decrease from 1,420 in 2022.
- US food sector M&A deals numbered 387 in 2023, down 18% year-over-year amid regulatory scrutiny.
- European food and bev M&A activity saw 512 deals in H1 2023, flat compared to H1 2022.
In 2023, global food M&A totaled 1,248 deals as valuations eased and private equity drove growth, especially in Asia-Pacific.
Buyer/Seller Profiles
Buyer/Seller Profiles Interpretation
Financial Metrics
Financial Metrics Interpretation
Target Characteristics
Target Characteristics Interpretation
Value Statistics
Value Statistics Interpretation
Volume Statistics
Volume Statistics 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.
Gabrielle Fontaine. (2026, February 13). M&A Food Industry Statistics. Gitnux. https://gitnux.org/m-a-food-industry-statistics
Gabrielle Fontaine. "M&A Food Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/m-a-food-industry-statistics.
Gabrielle Fontaine. 2026. "M&A Food Industry Statistics." Gitnux. https://gitnux.org/m-a-food-industry-statistics.
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