World's most prominent companies and their in-house M&A teams use Multiples to access public comps and private M&A valuation data, find current sector valuation trends, and benchmark potential acquisition targets.
Multiples serves in-house deal teams across the entire M&A value chain, from checking sector valuation multiples and target screening, to due diligence and deal closing.
Find relevant comps within your niche and build a custom valuation index to keep pulse on sector valuations. Browse through hundreds of verticals, from broad software valuation multiples to specialized niches like B2B marketplaces or energy software.
Define your market and benchmark valuation multiples by industry, explore 220+ granular verticals and 40+ tech themes, and make your own lists to make sure you're only looking at comps most relevant to you.
Narrow down your search and see how your targets stack up against publicly listed peers, or recently completed M&A deals in your niche. Browse comparable metrics like EV/Revenue, EV/EBITDA, Gross Margin, Year-On-Year Growth and many more.
Access institutional-quality public comparables and M&A valuation multiples, through a modern UI and at a fraction of the cost of Pitchbook or Capital IQ.
Underlying data on Multiples is powered by analyst estimates from FactSet and Morningstar, so you can compare historical valuation multiples like LTM EV/Revenue, forward-looking multiples such as NTM EV/EBITDA, tech-specific benchmarks like growth-adjusted EV/Revenue and so much more.
See public valuation multiples
Automate your valuation benchmarking with an auto-updating Excel or Google Sheet template. Seamlessly integrate Multiples data within your workflow, create visual charts and export them to PowerPoint to build board presentations, valuation decks and other documents quickly!
It's about time for a financial database that is built for tech, and not legacy industries. At Multiples we categorize all public comps and M&A deals across hundreds of themes and verticals, so you don't waste time on cleaning up data, and get to results faster.
We truly care about data quality, so our private valuation multiples are reconciled and manually verified. We source deal data from 3rd parties and legal filings, and combine it with our own proprietary database that we've built over 15 years of the investment banking career.
Multiples is an absolute game-changer and saved me countless hours of analysis. User-friendly UI makes it incredibly easy to focus on metrics that matter the most.
Extremely useful tool. I personally love the sector classification, which is much more updated and relevant to tech investors vs other tools in the market. It saves a lot of time!
I like the simplicity and fluidity of the Multiples platform, and the killer part is really the “verticals” classification - super useful when trying to find comps that are actually relevant.
Fantastic tool for valuation analytics, unmatched data granularity. I love how accurate it is, super deep sector classification and modern UI. Makes my benchmarking very easy!
We used to spend countless hours searching through compss to extract somewhat reliable info. With Multiples, we now have a highly efficient tool that has become essential to our analyses.
It's about time for tech bankers to get a user-friendly public comps database that is actually made for tech ecosystem. I like Multiples UI and breadth of market verticals.
We align and calendarize analyst estimates and raw financial data to deliver time series of comparable metrics such as LTM/NTM revenue, forward-looking EBITDA, and operational benchmarks like ratio of marketing spend to revenue.
You can benchmark through 10,000 handpicked public companies and more than 60,000 M&A transactions. Verified, calendarized and categorized, to make your valuation benchmarking a breeze.
Underlying analyst estimates and raw historical financials are powered by FactSet and Morningstar. We manually reconcile and calendarize the data to ensure fully accurate comparison between different fiscal year-ends.
You can benchmark 50+ valuation metrics as well as time series data based on analyst estimates (forward-looking) and historical financials. Example comparables available for all public comps are EV/2026E Revenue, EV/NTM EBITDA, EV/LTM Marketing Spend, and many more.
Our data is institutional-quality, powered by FactSet and Morningstar, calendarized in-house by us, to deliver a time series of metrics, such as NTM Revenue from analyst estimates. As an additional accuracy layer, we run a proprietary red-flagging system to spot-check any suspicious-looking data points.
For an additional sense check, our system identifies any valuation metrics which have changed beyond realistic levels from one data update to another - red flagging them to our team for a manual review. This is done via our proprietary software tool that mirrors and tracks Multiples database development.
We cover 10,000+ handpicked public comps across all industry verticals, with an emphasis on digital sector. We guarantee a complete global coverage of the broad tech, media, telecom and healthcare ecosystems, plus all relevant stocks from traditional industries.
Our universe encompasses the global economy, with a special ❤️ for tech. Public comparables are selected based on their size and relevance (we exclude 'dead' micro-caps).
While legacy providers cater to massess, we aim for the digital ecosystem through novel method of sector classification, higher quality multiples and modern UX. This, and we're 90% cheaper 😏.
Deals and private valuation data is sourced through proprietary research, including Bloomberg, MergerMarket, press releases, and other sources.
All our M&A / VC comparables have at least valuation disclosed. For the majority of our deal database we provide revenue and/or EBITDA multiples when available.
We triple-check deal data through a proprietary red-flagging system, compare with other verified online sources, and sense-check with our investment banking team. We exclude undisclosed, unrealistic or suspicious-looking data points. Our dataset is updated daily and continuously monitored for accuracy.
Those disprepancies are most likely caused by differences in EV (enterprise value) and equity value (valuation reported). For example, for a large M&A deal with available information on target's net debt, we might adjust a valuation to fully reflect an accurate EV. If you believe we made a mistake, drop us a line here and we'll take a look!
We source valuation data from verified sources and, if data permits, apply our own logic to get to the EV. As stated above, for a transaction with available net debt information, we might adjust a valuation to reflect an accurate enterprise value.
We source LTM revenue and LTM EBITDA data from company filings, press releases or other verified sources. If LTM data is unavailable, we take the next best-fit period (run-rate or calendar year), provided it makes sense in a given case. For example, if a deal happened in November 2024, we might take full-year revenue as a revenue benchmark.
We cover 60,000+ M&A deals globally, across all industry sectors, starting from 2014. Our near-term roadmap includes VC / growth funding valuation multiples (launching in early 2025).
Yes. While legacy platforms are larger in volume, we strive to be leaner on purpose. We declutter data by removing undisclosed or questionable-looking deals. All our multiples are continously checked against market sources. We estimate to have 27% more M&A valuation multiples vs. MergerMarket.
Get access to always up-to-date, precisely categorized 70K+ public and private valuation multiples, across tech and beyond.
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