AgriFood
M&A Database
In the AgriFood sector, the average EBITDA multiple recorded since the beginning of the year is 10.6x, which represents a 9.0% decrease compared to 2025.
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Database
198 Deals in AgriFood
| Date | Target | Acquirer | Sector | Rev | EBITDA | EV | xRev | xEBITDA |
|---|---|---|---|---|---|---|---|---|
| 03/2024 | ROUTIN FRANCE | ARGOS WITYU | Beverages | XX.X | X.X | XXX | X.Xx | X.Xx |
| 03/2024 | SOVOS BRANDS UNITED STATES | CAMPBELL SOUP COMPANY | Food Products | XX.X | X.X | XXX | X.Xx | X.Xx |
| 03/2024 | PARTNER IN PET FOOD (PPF) HUNGARY | CVC | Petfood | XX.X | X.X | XXX | X.Xx | X.Xx |
| 02/2024 | FORNO D’ASOLO ITALY | INVESTINDUSTRIAL | Food Products | XX.X | X.X | XXX | X.Xx | X.Xx |
| 02/2024 | MY PIE FRANCE | ARDIAN | Food Products | XX.X | X.X | XXX | X.Xx | X.Xx |
| 11/2023 | TIPIAK FRANCE | TERRENA | Food Products | XX.X | X.X | XXX | X.Xx | X.Xx |
| 11/2023 | FINSBURY FOOD GROUP UNITED KINGDOM | DBAY ADVISORS | Food Products | XX.X | X.X | XXX | X.Xx | X.Xx |
| 10/2023 | LUCAS BOLS COMPANY NETHERLANDS | NOLET GROUP | Beverages | XX.X | X.X | XXX | X.Xx | X.Xx |
| 10/2023 | DAOU VINEYARDS UNITED STATES | TREASURY WINE ESTATES (TWE) | Permanent Crops & Tree Groves | XX.X | X.X | XXX | X.Xx | X.Xx |
| 09/2023 | HOSTESS BRANDS, INC. UNITED STATES | THE J.M. SMUCKER CO. | Food Products | XX.X | X.X | XXX | X.Xx | X.Xx |
| 08/2023 | HARI&CO FRANCE | GROUPE AVRIL | Food Products | XX.X | X.X | XXX | X.Xx | X.Xx |
| 07/2023 | UNITED MALT GROUP AUSTRALIA | MALTERIES SOUFFLET | Food Processing | XX.X | X.X | XXX | X.Xx | X.Xx |
| 07/2023 | VRUMONA NETHERLANDS | ROYAL UNIBREW | Beverages | XX.X | X.X | XXX | X.Xx | X.Xx |
| 07/2023 | KEVIN'S NATURAL FOODS UNITED STATES | MARS | Food Products | XX.X | X.X | XXX | X.Xx | X.Xx |
| 06/2023 | GOODLIFE FOODS NETHERLANDS | IK PARTNERS | Food Products | XX.X | X.X | XXX | X.Xx | X.Xx |
What does the AgriFood M&A sector cover?
On mynth, the AgriFood M&A sector is structured across 2 major verticals with Agriculture and Food Processing, covering 9 sub-sectors and 17 granular industry tags. This taxonomy mirrors how M&A professionals actually segment the market, enabling precise peer group construction and sector-specific EV/EBITDA benchmarking across European Small & Mid-Cap transactions.
What is the average EV/EBITDA multiple for AgriFood transactions in 2026?
mynth tracks 198+ verified AgriFood M&A transactions with an average EV/EBITDA of 10.6x for the year 2026. Our AgriFood vertical provides deep granular data across the entire value chain of the AgriFood industries. We track valuation multiples and transaction financials for a wide range of sub-industries, including Agriculture, Field Crops & Grains, Cereals & Oilseeds, Sugar & Specialized Crops, Livestock & Animal Husbandry, Dairy Farming, Poultry & Eggs, Cattle & Swine, Specialized & Indoor Farming and Horticulture & Flowers. Whether you are looking for benchmarks in niche AgriFood segments or broad market trends, mynth centralizes deal flow intelligence that covers specialized mid-market players and large-scale industrial consolidators across Europe. Our database is specifically designed to help analysts identify EBITDA multiples and Revenue trends within these highly regulated and capital-intensive sectors.
Who are the most active acquirers in European AgriFood market?
According to mynth's community-contributed database of European AgriFood transactions over the last 5 years, 64.7% of deals were led by strategic acquirers while 35.3% were driven by Private Equity firms. Among the most active buyers tracked on mynth: Ardian, a private equity firm based in FRANCE, with 7 transactions, Ik Partners, a private equity firm based in UNITED KINGDOM, with 5 deals, Mademoiselle Desserts, a strategic player based in FRANCE, with 4 operations, Newprinces Group, a strategic player based in ITALY, with 4 acquisitions, Pai Partners, a private equity firm based in FRANCE, with 4 transactions. This breakdown reflects the consolidation dynamics of the European AgriFood mid-market, where strategic buyers and private equity firms continuously compete for market share and specialized assets.
How did we build this AgriFood analysis?
The 10.6x average EV/EBITDA is derived from mynth’s verified database of 198+ AgriFood M&A transactions. The data is submitted by M&A and private equity professionals, then manually checked by mynth’s analysts to ensure consistency and reliability. Each deal is validated by cross‑checking the reported figures with press releases, public announcements, market coverage, and private documents whenever available. This verification process gives mynth access to granular, transaction‑level intelligence that is often missing from conventional databases, enabling a more accurate understanding of valuation trends in the AgriFood sector. Thanks to this community‑driven approach, we deliver a unique and highly detailed view of each sector and sub‑sector, ranging from Agriculture and Food Processing to Field Crops & Grains, Livestock & Animal Husbandry and Specialized & Indoor Farming, among others.
How does mynth enrich this analysis for users?
Once logged in, users can access detailed financial data for each transaction, including the Enterprise Value, Equity Value, Revenue, EBITDA, and EBIT for the current year and for prior fiscal years, as well as the corresponding Revenue, EBITDA, and EBIT multiples. On each deal page, the sources of the financial data are clearly indicated: links to press articles or official announcements, or a tag specifying when the data comes from confidential documents shared by the user. This transparency helps users assess the reliability and origin of the valuation figures. Every company in the database is tagged by sector with four levels of granularity, enabling users to distinguish between very different business models and valuation approaches that would otherwise be hidden at a broad sector level. This granularity helps distinguish between upstream, commodity‑exposed agriculture, margin‑thick food processing, and consumer‑brand‑heavy FMCG, each with distinct margin structures and valuation drivers. The platform also tags each company by geography, enabling users to focus on specific countries or regions. mynth features a powerful search engine that lets you run highly refined queries by sector (with all four levels of industry depth), country, and company size, so you can quickly build custom peer groups, compare multiples, and export results directly to Excel.
What is mynth?
mynth is the first free M&A database dedicated to European Small & Mid-Cap transactions. We centralize Enterprise Values, revenue multiples, EBITDA multiples and transaction financials that are typically locked behind five-figure subscriptions on platforms like Capital IQ or Mergermarket. On mynth, searching and browsing deals is completely free. Our mission is simple: make professional-grade valuation intelligence accessible to every M&A advisor, independent consultant, Private Equity professional and student, without the burden of expensive annual licenses.
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Sign up for free and instantly receive 30 credits. Through our referral program, each person you invite earns you an additional 20 credits, meaning you can unlock at least 50 financial data points without spending a cent. Our search engine is built for speed and precision: filter transactions by company name, investment fund, sector, country, revenue range, enterprise value or date. A list system lets you group transactions into custom peer groups and export them directly to Excel. The credit model means you only spend on the deals you actually need : no subscription, no commitment.
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mynth is a community-driven database. Every transaction is contributed by M&A and Private Equity professionals who work on the deals themselves. This means our database contains off-market financial data that you will not find in any press release, news article, or traditional data provider. Closed deals, undisclosed valuations, real EBITDA multiples : data that only exists within the deal teams. Every single financial figure submitted is reviewed and validated by our in-house analysts before being published, ensuring the data you see is accurate, structured, and reliable.