Market Valuation Trends in TMT (Tech, Media, Telecom)
YearAverage EV/EBITDA MultipleTransaction Count
200514.2x3
200614.2x3
200714.2x5
20099.8x1
201010.1x10
201110.1x4
201211.3x7
201312.0x18
201411.8x24
201510.6x39
201610.7x37
201710.3x39
201811.5x45
201911.7x56
202013.7x86
202114.0x95
202214.7x70
202314.6x68
202415.3x88
202514.9x115
202614.8x113
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Tech, Media & Telecom
M&A Database

In the TMT (Tech, Media, Telecom) sector, the average EBITDA multiple recorded since the beginning of the year is 14.8x, which represents a 1.1% decrease compared to 2025.

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M&A Database: Tech, Media & Telecom

515 Deals in Tech, Media & Telecom

List of recent M&A transactions
DateTargetAcquirerSectorRevEBITDAEVxRevxEBITDA
06/2026INVESTCORPConsulting & IntegrationXX.XX.XXXX
X.XxX.Xx
06/2026
METRA UNITED ARAB EMIRATES
INVESTCORPIT Distribution & ChannelXX.XX.XXXX
X.XxX.Xx
06/2026
M-WORK FRANCE
ASYSCollaboration & ProductivityXX.XX.XXXX
X.XxX.Xx
06/2026THEON INTERNATIONALElectronic ComponentsXX.XX.XXXX
X.XxX.Xx
06/2026
BMC HELIX UNITED STATES
MONTAGU PRIVATE EQUITYData, Analytics & AIXX.XX.XXXX
X.XxX.Xx
06/2026
VIBE UNITED STATES
WALMARTAdTechXX.XX.XXXX
X.XxX.Xx
06/2026
COGNITE NETHERLANDS
SCHNEIDER ELECTRICData, Analytics & AIXX.XX.XXXX
X.XxX.Xx
06/2026
CLEARWATER ANALYTICS UNITED STATES
PERMIRAIndustry-Specific SoftwareXX.XX.XXXX
X.XxX.Xx
06/2026
ENIVEST NORWAY
TELENOROperatorsXX.XX.XXXX
X.XxX.Xx
06/2026FRANCISCO PARTNERSSoftwareXX.XX.XXXX
X.XxX.Xx
06/2026
PHOSPHORUS UNITED STATES
DRAGOSConsulting & IntegrationXX.XX.XXXX
X.XxX.Xx
06/2026
COPLI DENMARK
VEEVA SYSTEMSIndustry-Specific SoftwareXX.XX.XXXX
X.XxX.Xx
06/2026
DROOMS GERMANY
EOS PARTNERSCollaboration & ProductivityXX.XX.XXXX
X.XxX.Xx
06/2026
PLAYSTACK UNITED KINGDOM
INTEGRATED MEDIA COMPANYGaming & Consumer AppsXX.XX.XXXX
X.XxX.Xx
06/2026
PADOA FRANCE
THOMA BRAVOIndustry-Specific SoftwareXX.XX.XXXX
X.XxX.Xx

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What does the Tech, Media & Telecom M&A sector cover?

On mynth, the Tech, Media & Telecom M&A sector is structured across 5 major verticals with Telecom, Software, IT Services, Media & Internet, and Hardware & Electronics, covering 20 sub-sectors and 21 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 Tech, Media & Telecom transactions in 2026?

mynth tracks 515+ verified Tech, Media & Telecom M&A transactions with an average EV/EBITDA of 14.8x for the year 2026. Our Tech, Media & Telecom vertical provides deep granular data across the entire value chain of the Tech, Media & Telecom industries. We track valuation multiples and transaction financials for a wide range of sub-industries, including Telecom, MVNO, Operators, Infrastructures, Software, AdTech, MarTech, CRM & Sales, ERP, HR & Finance and Supply Chain & Ops. Whether you are looking for benchmarks in niche Tech, Media & Telecom 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 Tech, Media & Telecom market?

According to mynth's community-contributed database of European Tech, Media & Telecom transactions over the last 5 years, 51.7% of deals were driven by Private Equity firms while 48.3% were led by strategic acquirers. Among the most active buyers tracked on mynth: Hg Capital, a private equity firm based in UNITED KINGDOM, with 11 transactions, Permira, a private equity firm based in UNITED KINGDOM, with 9 deals, Orange, a strategic player based in FRANCE, with 8 operations, Apax Partners, a private equity firm based in UNITED KINGDOM, with 7 acquisitions, Ik Partners, a private equity firm based in UNITED KINGDOM, with 7 transactions. This breakdown reflects the consolidation dynamics of the European TMT mid-market, where strategic buyers dominate software and IT services while PE remains active in infrastructure and telecom assets.

How did we build this Tech, Media & Telecom analysis?

The 14.8x average EV/EBITDA is based on mynth’s verified database of 515+ Tech, Media & Telecom M&A transactions. The data is contributed by M&A and private equity professionals, then manually reviewed by mynth’s analysts to ensure consistency and accuracy. Each transaction is validated by comparing submitted figures with press releases, public announcements, market coverage, and private documents when available. This methodology gives mynth access to transaction-level intelligence that is often unavailable in traditional databases, allowing for a more precise view of valuation trends across the Tech, Media & Telecom industry. Thanks to this community-driven approach, we provide a unique and highly granular view of each sector and sub-sector, from Telecom and Software to MVNO, Operators and Infrastructures, as examples.

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 structure makes it possible to separate asset‑heavy telecom operators from software‑as‑a‑service platforms and asset‑light media businesses, which are valued with very different EV/Revenue and EV/EBITDA profiles. 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 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.

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.