Market Valuation Trends in Retail & Consumer
YearAverage EV/EBITDA MultipleTransaction Count
20047.3x1
20057.3x4
20067.8x3
20079.1x4
20098.9x2
20109.4x10
20119.4x5
20129.6x8
201310.1x18
201410.0x27
201510.6x46
201610.5x45
201711.5x44
201812.1x56
201913.1x68
202014.2x90
202113.5x101
202212.2x80
202312.1x80
202411.9x102
202512.1x143
202611.2x178
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Retail & Consumer
M&A Database

In the Retail & Consumer sector, the average EBITDA multiple recorded since the beginning of the year is 11.2x, which represents a 7.3% decrease compared to 2025.

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M&A Database: Retail & Consumer

424 Deals in Retail & Consumer

List of recent M&A transactions
DateTargetAcquirerSectorRevEBITDAEVxRevxEBITDA
07/2012
VALENTINO ITALY
MAYHOOLAFashion & Leather GoodsXX.XX.XXXX
X.XxX.Xx
03/2012
ICELAND FOODS GROUP UNITED KINGDOM
MANAGEMENT & PRIVATE INVESTORSFood RetailXX.XX.XXXX
X.XxX.Xx
03/2012
HELIX UNITED KINGDOM
MAPEDConsumer ProductsXX.XX.XXXX
X.XxX.Xx
03/2012
FITNESS FIRST UNITED KINGDOM
OAKTREE CAPITAL MANAGEMENTHospitalityXX.XX.XXXX
X.XxX.Xx
09/2011NAXICAP PARTNERSHospitalityXX.XX.XXXX
X.XxX.Xx
06/2011
MONCLER ITALY
EURAZEOFashion & Leather GoodsXX.XX.XXXX
X.XxX.Xx
03/2011
BULGARI ITALY
LVMHWatches & JewelryXX.XX.XXXX
X.XxX.Xx
01/2011Change Capital PartnersHospitalityXX.XX.XXXX
X.XxX.Xx
01/2011HIG CAPITALLeisure FacilitiesXX.XX.XXXX
X.XxX.Xx
12/2010FONDATIONS CAPITALHospitalityXX.XX.XXXX
X.XxX.Xx
08/2008
MARCHON EYEWEAR UNITED STATES
VSP VISIONLuxury Supply ChainXX.XX.XXXX
X.XxX.Xx
11/2007MONTEFIORE INVESTMENTConsumer ProductsXX.XX.XXXX
X.XxX.Xx
04/2007APAX PARTNERSSpecialized RetailXX.XX.XXXX
X.XxX.Xx
03/2007
The Tussauds Group UNITED KINGDOM
Merlin EntertainmentsLeisure FacilitiesXX.XX.XXXX
X.XxX.Xx
02/2006MONTEFIORE INVESTMENTHospitalityXX.XX.XXXX
X.XxX.Xx

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What does the Retail & Consumer M&A sector cover?

On mynth, the Retail & Consumer M&A sector is structured across 6 major verticals with Retail, Education, Luxury Goods, Consumer Products, Hospitality & Leisure, and Gambling & Betting, covering 18 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 Retail & Consumer transactions in 2026?

mynth tracks 424+ verified Retail & Consumer M&A transactions with an average EV/EBITDA of 11.2x for the year 2026. Our Retail & Consumer vertical provides deep granular data across the entire value chain of the Retail & Consumer industries. We track valuation multiples and transaction financials for a wide range of sub-industries, including Food Retail, General Grocery, Fine Food / Organic, Specialized Retail, Fashion & Apparel, Home & DIY, Beauty & Cosmetics, Sport, Second-hand Goods and Education. Whether you are looking for benchmarks in niche Retail & Consumer 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 Retail & Consumer market?

According to mynth's community-contributed database of European Retail & Consumer transactions over the last 5 years, 61.1% of deals were driven by Private Equity firms while 38.9% were led by strategic acquirers. Among the most active buyers tracked on mynth: Lvmh, a strategic player based in FRANCE, with 8 transactions, L Catterton, a private equity firm based in FRANCE, with 7 deals, Pai Partners, a private equity firm based in FRANCE, with 7 operations, Bain Capital, a private equity firm based in UNITED KINGDOM, with 6 acquisitions, Bc Partners, a private equity firm based in UNITED KINGDOM, with 6 transactions. This breakdown reflects the consolidation dynamics of the European Retail & Consumer mid-market, where strategic buyers and private equity firms continuously compete for market share and specialized assets.

How did we build this Retail & Consumer analysis?

The 11.2x average EV/EBITDA is derived from mynth’s verified database of 424+ Retail & Consumer 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 Retail & Consumer sector. Thanks to this community‑driven approach, we deliver a unique and highly detailed view of each sector and sub‑sector, ranging from Retail and Education to Food Retail, Specialized Retail and EdTech & Content, 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. The structure allows us to clearly separate fast‑moving consumer brands, omnichannel retail banners, and DTC‑first businesses, which exhibit distinct multiple patterns and margin 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.

How to use mynth for free?

Sign up for free and instantly receive 10 credits. Through our referral program, each person you invite earns you an additional 5 credits, meaning you can unlock at least 15 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.

Powered by Collective Intelligence

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.