FinTech · Sector methodology

FinTech business valuation,
financial modelling & cash runway.

UK FinTech trades at 2.0x to 8.0x EV/Revenue, by sub-sector. Payments and embedded finance command the upper end; lenders and neobanks turn on capital efficiency.

We price that against unit economics and revenue per user. IVSC-compliant, signed by a named consultant.

EV / Revenue range
2.0x to 8.0x (sub-sector dependent)
EV / EBITDA range
12x to 30x (where EBITDA positive)
UK listed peers · mid-2026 · indicative only
Why different
Why FinTech valuations are different
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.
Metrics that matter

The inputs that drive FinTech value.

We anchor every FinTech valuation on these inputs, with sensitivities run on the top three assumptions that move the concluded range most.

Revenue per active user
Contribution margin per cohort
Regulatory capital ratio (where applicable)
Net interest margin (lending) / take-rate (payments)
Active-to-registered user ratio
CAC payback by cohort
FinTech multiples snapshot

Current market pricing.

EV / Revenue (NTM)
2.0x to 8.0x (sub-sector dependent)
EV / EBITDA (NTM)
12x to 30x (where EBITDA positive)
When each applies
Payments and embedded-finance value at the upper end; lenders and neobanks vary widely by capital efficiency.
NTM multiples for UK-listed FinTech comparables, mid-2026. Range reflects growth-stage dispersion; concluded valuations anchor on the sub-range that matches your unit economics.
Our approach

How we approach FinTech valuations.

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 triangulates DCF, comparable companies and precedent transactions, and adds an asset-based overlay where it materially affects the range. The full methodology is documented in our methodology disclosure.

Sub-sector dispersion is wide enough that one comparable set can mislead on its own, which is why the forecast runs in parallel rather than as a check; DCF vs multiples explains the reasoning.

FinTech engagements (illustrative)

The kind of work we do.

Series-B raise valuation for an FCA-authorised lender
Illustrative: modelled regulatory-capital absorption against loan-book growth to support a debt-and-equity round.
Scale
£28M loan book · 6.2% NIM · 4.2% net charge-off
Outcome
Round closed at 3.1x book value
Hypothetical example illustrating the kind of work we do. Named case studies will replace these as engagements complete.
Acquisition-defence valuation for a payments fintech
Illustrative: built a defensible counter-offer analysis using EV/Net-Revenue and cohort contribution margin.
Scale
£14M net revenue · 0.9% take-rate · 24% growth
Outcome
Counter-offer raised by 32%
Hypothetical example illustrating the kind of work we do. Named case studies will replace these as engagements complete.
Free download

2026 FinTech Valuation Report.

2026 FinTech deep-dive: sub-sector multiples, regulatory-capital benchmarks, and contribution-margin distributions across UK peers.

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18-page PDF · updated Q2 2026 · UK-listed peer data
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