FinTech
Valuations for FinTech — unit economics, regulatory capital, and revenue-per-user benchmarks.
FinTech businesses span a wide range — lending, payments, neobanks, embedded finance, wealth tech — and the appropriate valuation approach diverges sharply by sub-sector. A lender values on regulatory capital and net interest margin; a payments business on net revenue and take-rate; a neobank on revenue per user and contribution margin per cohort.
Regulatory capital and prudential treatment matter materially. An FCA-authorised lender or e-money institution faces capital and liquidity constraints that constrain growth-stage cash generation, which a generic SaaS-style DCF will misread. We model the regulatory-capital path explicitly where it binds.
Public-market FinTech comparables shifted sharply between 2021 and mid-2026. We use the current cohort of UK-listed and recently-private peers, with explicit adjustments for unit-economic differences (CAC, payback, NIM, take-rate) rather than naive multiple averages.
We anchor every FinTech valuation on these inputs, with sensitivities run on the top three.
Based on UK-listed peer evidence, mid-2026. Indicative only — company-specific valuations require a triangulated football-field reconciliation.
EV / Revenue
2.0x – 8.0x (sub-sector dependent)
EV / EBITDA
12x – 30x (where EBITDA positive)
Payments and embedded-finance value at the upper end; lenders and neobanks vary widely by capital efficiency.
We pick the multiple framework by sub-sector — net-revenue multiples for payments, contribution-margin multiples for neobanks, P/E and book-value for regulated lenders — and triangulate against a DCF that models the regulatory-capital path where it binds.
Every FinTech valuation we run triangulates DCF, comparable companies and precedent transactions — and adds LBO, asset-based and Monte Carlo where they materially affect the range. The methodology is documented in our methodology disclosure.
Hypothetical examples illustrating the kind of work we do. Identified case studies will replace these as engagements complete.
Anonymised hypothetical — modelled regulatory-capital absorption against loan-book growth to support a debt-and-equity round.
Anonymised hypothetical — built a defensible counter-offer analysis using EV/Net-Revenue and cohort contribution margin.
Free download
2026 FinTech deep-dive: sub-sector multiples, regulatory-capital benchmarks, and contribution-margin distributions across UK peers.
Sector report
UK-listed peer comparables, multiples distributions, and sector-specific benchmarks. Watermarked for your team.
Try the free calculator for an indicative range, or request a quote for the signed report.