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.