Q1 2026 fintech dataset

Fintech valuation multiples you can actually use

416 companies across 9 niches, with public, private, and M&A comps in one working Excel file.

416 companies Source-linked dataset
9 fintech niches Structured by category
Public, private & M&A One comparable framework
Excel workbook Built for working use

Six working sheets built for valuation, benchmarking, and deal analysis

Each tab answers a different valuation question. Use the summary tabs to frame valuation range, then use the database to build a peer group you can actually defend.

Finro built this dataset for founders, investors, and advisors who need a faster way to build defensible fintech comp sets without rebuilding the same market map from scratch each time.

Niche summary

Average and median EV/Revenue by niche, with percentile ranges and dispersion across public, private, and M&A segments.

Company database

416 companies with EV, revenue, EBITDA, funding stage, and EV/Revenue multiples, each mapped with source links.

Niche analysis

Public vs. private vs. M&A pricing by segment, helping you see where premiums hold and where they compress.

Funding stage view

Private market multiples from Seed to Pre-IPO, structured for stage-matched benchmarking.

M&A analysis

Transaction multiples by niche versus public and private benchmarks, with premium and discount analysis.

Methodology & documentation

Source notes, methodology, and usage terms, structured for internal work and client-facing support.

Built for people doing live valuation work

This is not a lightweight market summary. It is a working file for professionals who need current numbers, clean segmentation, and a peer set they can defend.

Startup CFOs & founders

Frame internal valuation ahead of a fundraise and understand how stage, business model, and niche affect trading range.

VC & PE analysts

Build comp sets faster, filter by niche and stage, and arrive at internal discussions with the benchmark work already done.

M&A advisors

Understand transaction premiums and discounts versus public benchmarks, and separate strategic value from market noise.

Valuers & accountants

Support share issuances, ESOP work, impairment testing, or investor reporting with a current and cited comparable set.

Used in live valuation and transaction work

Collected through post-purchase feedback and shared without attribution.

We used the dataset to come up with an internal valuation and it helped us confirm assumptions we had been relying on anecdotally. Having structured comp sets by AI niche made the difference.

Use case: Internal valuation for an AI Agents company. The team selected the best-fit peer group by niche and stage, then used the comp set to set a valuation target heading into a Series B.
FS
Finance professional
Early-stage startup · AI Agents dataset

Exactly what I needed to build a defensible comparable set for an AI infrastructure client. The niche segmentation meant I wasn't averaging across companies that aren't genuinely comparable.

Use case: Valuation support for an AI infrastructure platform ahead of a strategic partnership discussion. The advisor used the dataset to assemble a relevant peer group for the board deck.
VA
Independent advisor
Board presentation mandate · AI dataset

We used the dataset to construct our valuation and support our argument for a revenue multiple in the sale. It gave us a structured, defensible comp set we could put in front of the other side.

Use case: M&A transaction support. The advisor used the dataset to anchor valuation arguments during a sale process, replacing anecdotal benchmarks with structured comparable evidence.
RW
Advisor, WEC Corporation
M&A process · Cybersecurity dataset

We used the dataset to benchmark a valuation on a company we had invested in, with third parties also reviewing the position. It gave us a credible, structured reference point we could share externally.

Use case: Investment valuation benchmarking. The managing partner used the dataset to support an independent valuation review, with the comp set shared with external reviewers.
SC
Managing Partner
Investment benchmarking · InsurTech dataset

One price. Full file. Immediate access.

No subscription. No gated add-ons. You get the complete workbook the moment you buy.

Q1 2026 edition
€150
One-time purchase · Single-user license

416 companies across 9 fintech niches
Public, private, and M&A segments
Funding stage breakdown from Seed to Pre-IPO
Source links for every data point
Methodology and documentation included
Immediate redirect to download page after purchase
Buy now for €150

Secure checkout via Stripe. Redirect to download page after payment. Non-refundable digital product. VAT may apply depending on your location.

Need a team license or have a question first? info@finrofca.com or use the Contact Us page.

Before you buy

What format is the file?
The dataset is delivered as an Excel (.xlsx) workbook with six tabs: Start Here, Summary, Niche Analysis, Funding Stages, M&A Analysis, and the full Database. It opens in Excel, Google Sheets, and LibreOffice.
How do I receive the file?
After payment, Stripe redirects you to a download page containing the file link and a short confirmation message. If you run into any issue, email info@finrofca.com.
Where does the data come from?
Sources include public company filings, disclosed market data, funding announcements, press releases, and Finro internal estimates where primary operating data is not publicly available. Each company row includes a source link, and internal estimates are clearly marked.
Can I use this in client work?
Yes. The single-user license permits internal use and use in client-facing materials, provided Finro is credited as the data source. Redistribution or resale of the file itself is not permitted. For team licensing, email info@finrofca.com or use the Contact Us page.
What is the refund policy?
This is a non-refundable digital product delivered immediately after payment. If you want to confirm fit before purchase, email info@finrofca.com or use the Contact Us page.
Do you offer other datasets?
Yes. Finro also publishes valuation datasets across AI, EdTech, and other verticals in the same working format. Use the store to browse available datasets, or contact us at info@finrofca.com with a specific use case.