Burn Multiple Benchmarks (2026)
Burn multiple medians, top quartile, and bottom quartile by funding stage and ARR tier, plus the investor bar that determines whether a round gets done at the price you want.
Why burn multiple is the post-2022 efficiency screen
Burn multiple emerged as the single most-cited capital-efficiency metric for cloud businesses in the 2020 to 2022 window. It became the post-2022 fundraise screen because it cuts through the noise that other efficiency metrics carry. CAC isolates S&M efficiency. Magic number measures sales productivity over a quarter. Burn multiple measures the full capital efficiency of the entire operation: how many dollars of cash did you burn to produce one dollar of new ARR.
The formula:
Both terms measured over the same period (typically the trailing twelve months for the headline figure, with the trailing quarter shown as the leading indicator). The framework was introduced by David Sacks at Craft Ventures and has since become standard reference in Bessemer Atlas and Iconiq Growth reporting.
Burn multiple benchmarks by funding stage
| Stage | Median | Top quartile | Bottom quartile | Investor bar | Notes |
|---|---|---|---|---|---|
| Seed / pre-Series A | 1.8x | Less than 1.2x | More than 3.0x | Less than 2.5x | Wide distribution. Survival bias understates the worst. |
| Series A | 1.4x | Less than 1.0x | More than 2.2x | Less than 2.0x | Tightest distribution across stages. |
| Series B | 1.2x | Less than 0.9x | More than 1.8x | Less than 1.5x | Above 1.5x triggers diligence drag. |
| Series C | 1.0x | Less than 0.7x | More than 1.5x | Less than 1.2x | Path to break-even should be visible. |
| Growth / pre-IPO | 0.8x | Less than 0.5x | More than 1.2x | Less than 1.0x | Public SaaS comps anchor the upper bound. |
Sources: Craft Ventures research, Bessemer State of the Cloud 2026, Iconiq Operating Metrics, KeyBanc CMS SaaS Survey 2024 cohorts. All numbers as of May 2026.
Burn multiple benchmarks by ARR tier
For founders whose funding stage label does not match their ARR, the tier view is more accurate. A $4M ARR Series B company should read both the Series A and the $5M ARR tier rows.
$1M ARR
1.9x
Median
Less than 1.4x
Top quartile
$5M ARR
1.4x
Median
Less than 1.0x
Top quartile
$10M ARR
1.2x
Median
Less than 0.9x
Top quartile
$25M ARR
1.0x
Median
Less than 0.7x
Top quartile
$50M+ ARR
0.8x
Median
Less than 0.5x
Top quartile
How investors actually price burn multiple
The relationship between burn multiple and the price an investor pays per dollar of ARR is roughly stepped. Three discrete bands:
Below 1.0x burn multiple
Investors treat this as a fundamentally efficient business. EV/ARR multiples are anchored to growth rate and NRR without a significant efficiency discount. This is the band where SaaS companies trade at premium multiples to peer growth profile.
1.0x to 2.0x burn multiple
The middle band. Investors model expected efficiency improvement into the underwriting and price closer to peer benchmark. Diligence focuses on whether the burn multiple is trending down (positive) or up (negative). Companies inside this band on a trending-down trajectory close rounds at peer-multiple pricing.
Above 2.0x burn multiple
The discount band. Investors apply explicit valuation discounts. The size of the discount scales with the burn multiple and with the difficulty of plausibly explaining the path back to efficiency. Above 3.0x is increasingly difficult to clear at any reasonable price in the 2025-2026 environment.
What good vs bad trajectories look like
A burn multiple of 1.8x trending toward 1.2x over four quarters tells a fundamentally different story than the same 1.8x trending toward 2.4x. Trajectory matters more than spot value for fundraise and board pack purposes.
Good trajectory signals: quarter-over-quarter burn multiple improving by 0.1x or more, driven by either ARR acceleration or cost discipline. Magic number stable or improving alongside. Pipeline coverage healthy. New cohort NRR consistent with prior cohorts. These signals combined indicate the efficiency improvement is real and structural, not a one-time accounting effect.
Bad trajectory signals: burn multiple improving on the surface because a one-time accounting reclassification moved costs out of opex (treated by investors as cosmetic). Burn multiple improving because growth collapsed faster than burn (a real efficiency failure dressed as improvement). Magic number falling while burn multiple flat (sales engine breaking even as the headline holds). Investors detect each of these in diligence.
Calculate your burn multiple
The free calculator plots your number against the benchmark cohort and shows the trajectory. The formula breakdown is on the dedicated formula page.