Sell My Marketplace – AI-Powered Brokerage & Valuation
Thinking of an exit? Get a data-driven valuation, a buyer-ready package, and a confidential process designed for two-sided marketplaces.
How Much Is My Marketplace Worth?
Short answer: Valuation ≈ Net Revenue × market multiple (where Net Revenue ≈ Take Rate × GMV), or EBITDA/SDE for smaller owner-operated platforms — adjusted for liquidity (match rate/time-to-fill), cohort retention on both sides, contribution margin after variable costs (payments, support, disputes), unit economics per side (LTV:CAC, payback), and regulatory/platform risk.
Valuation, in brief (5 steps)
- Choose method: net-revenue multiple (common) or EBITDA/SDE for smaller, mature operations.
- Normalise metrics: GMV, net revenue/take rate, contribution margin, CAC & payback by side, refund/chargeback rate.
- Benchmark with comps: size band, growth, category, geography, take-rate stability, frequency/seasonality.
- Adjust for risk: supply/demand concentration, disintermediation, trust & safety, KYC/AML, regulatory exposure.
- Run scenarios: base / upside / de-risked (e.g., +take rate, +activation, +repeat rate), then set a defensible range.
Marketplace Valuation Multiples in 2025 (Indicative)
Ranges vary by size, quality, and buyer type. Treat these as directional bands, not guarantees.
| Profile | Basis | Indicative Range* |
|---|---|---|
| Owner-operated, sub-$2m net revenue | SDE multiple | ~2.5×–4.0× SDE |
| $2m–$10m net revenue, steady growth | Net revenue multiple | ~1.5×–3.5× Net Revenue |
| $10m+ net revenue, strong metrics | Revenue/EBITDA multiple | ~3.0×–7.0× Revenue or 6.0×–12.0× EBITDA |
*Illustrative bands only; actual outcomes depend on growth, liquidity, take-rate durability, margins, risk, buyer type, and market conditions.
How We Value Marketplaces: GMV, Take Rate, Liquidity, Cohorts
| Driver | Strong Signal | Effect on Multiple |
|---|---|---|
| GMV/Net-Revenue Growth | Consistent QoQ growth with supply & demand pipeline | Higher (durability of growth) |
| Liquidity | High match rate; short time-to-fill; high repeat purchase | Higher (network effects) |
| Unit Economics | LTV:CAC ≥ 3:1 on both sides; payback < 12 months | Higher (efficient growth) |
| Contribution Margin | Stable after payment, support, and dispute costs | Higher (profit potential) |
| Concentration Risk | No seller/buyer > 10% GMV; diversified channels | Higher (lower revenue risk) |
| Trust/Safety & Compliance | KYC/AML in place; low chargebacks; clear T&S | Higher (smoother diligence) |
SDE vs EBITDA for Marketplaces: Which One Matters?
Smaller, owner-operated platforms are often priced on SDE (profit + reasonable owner compensation + normalised add-backs). Larger operations trend to EBITDA or net-revenue multiples. We compute both and align to the buyer pool.
How our AI model improves the valuation
- Maps your metrics to live deal/comparable bands (category, size, growth, take rate, liquidity).
- Runs sensitivity on take rate, activation, repeat rate, and CAC/payback to show multiple uplift.
- Ranks buyer fit (strategic vs financial) to indicate likely price/structure scenarios.
What to prepare (faster valuation)
- Last 24 months P&L + balance sheet; GMV → net revenue → contribution margin bridge.
- Cohort/retention by buyers & sellers; activation/wafer rates; match rate; time-to-fill; refund/chargeback logs.
- Revenue by category/geo; pricing & fees; promotions; seasonality.
- Top buyers/sellers with % of GMV; channel dependence and disintermediation controls.
- Contracts/IP checklist: payment processor terms, KYC/AML, ToS, trademarks, data/privacy posture.
Quick answers:
Revenue or profit multiple? Net-revenue multiples are common; EBITDA/SDE for smaller or slower-growth platforms.
What replaces “Rule of 40”? Liquidity efficiency (match rate, repeat rate) and unit-economics balance drive multiples more than headline GMV.
Fastest multiple lifts? Take-rate clarity, improved liquidity, better LTV:CAC/payback per side, clean compliance, and reduced concentration/disintermediation.
