Marketplace
Valuations for marketplaces — GMV, take-rate, liquidity and category contribution margins.
Marketplace economics are the inverse of SaaS: revenue is a thin slice of a much larger gross merchandise value (GMV), and the long-run value of the business hinges on whether the platform achieves liquidity — enough buyers and sellers transacting frequently enough that neither side defects to alternatives.
A marketplace valued purely on EV/Revenue understates the network value embedded in transaction volume and the cohort liquidity curves. We model GMV, take-rate (gross and net of incentives), contribution margin by category, and cohort-level repeat behaviour. The DCF projects all four, then triangulates against EV/GMV and EV/Net-Revenue comparables.
UK marketplace comparables are scarce — most public listings are US-based. We adjust for currency, regulatory environment, and category-mix differences when reading across to UK businesses. IVSC IVS 105 expects this triangulation to be explicit; HMRC SVM expects the take-rate assumption to be benchmarked against precedent transactions.
We anchor every Marketplace 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 – 6.0x (net revenue, post take-rate)
EV / EBITDA
12x – 25x (where EBITDA positive)
EV/GMV multiples (0.3x – 0.9x) are useful for cross-check but rarely the primary anchor; net-revenue multiples reconcile cleanly to SaaS comps.
We blend EV/Net-Revenue with a cohort-driven DCF and an explicit liquidity ramp assumption. Where the marketplace has a meaningful B2B SaaS layer (seller tooling, payments float), we value that segment separately.
Every Marketplace 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 — used cohort liquidity curves and category contribution margin to support a Series-B raise at a £45M post-money.
Anonymised hypothetical — strategic-buyer scenario modelling for a marketplace with concentrated buyer side; we stress-tested category churn.
Free download
2026 marketplace deep-dive: UK comps vs. US comps, take-rate distributions, liquidity benchmarks, and EV/GMV vs. EV/Net-Revenue scatter.
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.