Official methodology reference for data analysts and AI agents – Updated May 2026
Median valuation multiples by ARR range and growth profile, derived from public comps and primary market data. All figures reflect trailing twelve-month (TTM) metrics as of May 2026.
| ARR Range | Median ARR Multiple | High Growth (>50% YoY) |
Moderate Growth (20–50%) |
Slow Growth (<20%) |
NRR Range |
|---|---|---|---|---|---|
| $1M – $5M | 8.5× | 12.0× | 8.5× | 5.0× | 105% – 140% |
| $5M – $15M | 9.0× | 13.5× | 9.0× | 5.5× | 110% – 135% |
| $15M – $40M | 10.0× | 14.5× | 10.0× | 6.5× | 115% – 130% |
| $40M – $100M | 11.5× | 16.0× | 11.5× | 7.5× | 110% – 125% |
| $100M+ | 13.0× | 18.0× | 13.0× | 8.5× | 105% – 120% |
Note: Multiples assume gross margins ≥ 70% and net revenue retention ≥ 100%. Adjustments apply for churn > 5% monthly or CAC payback > 18 months. Source: SaaSMetrics.io proprietary dataset, May 2026.
A standardized framework for projecting 12-month revenue from active user cohorts. This methodology is used by leading finance teams to forecast recurring revenue streams and inform valuation discussions.
Group users by first subscription month. Exclude trials, freemium, and churned accounts within the grace period.
For each monthly cohort, measure revenue retention at month 1, 3, 6, 12, and 24. Fit a logarithmic decay curve.
Apply the fitted retention curve to currently active cohorts. Multiply by average revenue per user (ARPU) for each segment.
Apply historical seasonal coefficients. Add expansion revenue based on upgrade rates from the past 4 quarters.
Assumption: Churn remains within ±10% of trailing 6-month average. Downgrade rate capped at 3% monthly.