What is a good burn multiple for a B2B company?
A burn multiple under 1.5 is good for a B2B company, and under 1.0 is excellent. Between 1.5 and 2.0 is acceptable, 2.0 to 3.0 is a warning sign, and above 3.0 means growth is costing too much cash. The metric was popularised by David Sacks and is most useful for companies that are still burning cash to grow. Treat the bands as reference ranges, since stage, market and funding conditions all shift what is realistic.
How to calculate burn multiple
Ready to turn this into pipeline?
Prospect AI runs research, copy, and multi-channel outreach as one system, so consistent pipeline stops depending on heroics.
Burn multiple = net burn divided by net new ARR, measured over the same period. Example: $3,000,000 of net burn in a year that added $2,000,000 of net new ARR is a burn multiple of 1.5, meaning each $1 of new ARR cost $1.50 of cash. Use net new ARR, which includes expansion and subtracts churn, and measure over at least a full quarter to smooth out timing. Pair it with the CAC payback period benchmark to see how quickly acquisition spend returns.
Burn multiple benchmarks
Under 1.0: excellent, typically capital-efficient or product-led growth. 1.0 to 1.5: good, a healthy sales-led company. 1.5 to 2.0: acceptable, common for companies investing ahead of growth. 2.0 to 3.0: suspect, growth is getting expensive. Above 3.0: bad, and usually a sign to fix efficiency before spending more. Early-stage companies often run higher while they find product-market fit, and the expectation tightens as revenue scales.
Why burn multiple matters to investors and operators
Growth rate alone hides how much cash a company consumed to get there. Burn multiple shows whether spend is converting into recurring revenue, which is why it appears in fundraising diligence and board decks. For operators it is an early warning that sales and marketing spend, hiring or churn is outpacing results. Compare it with the SaaS magic number and the LTV to CAC ratio for a fuller efficiency picture.
What drives a high burn multiple
Four causes account for most high burn multiples: a sales team hired ahead of pipeline, long ramp times before reps are productive, weak conversion from meeting to closed deal, and churn that cancels out new bookings. Review AE ramp time, win rate and gross revenue retention before cutting spend, since the fix is often conversion or retention, not budget.
How to lower your burn multiple
There are two levers: reduce net burn or raise net new ARR per dollar spent. On the revenue side, raise the quality of top-of-funnel meetings, shorten the sales cycle and protect existing revenue. On the cost side, replace fixed headcount with variable, performance-linked spend where you can. Check cost per meeting booked and cost per opportunity to find the stage where efficiency breaks down.
Burn multiple versus CAC payback and magic number
Burn multiple includes all cash costs, such as engineering and overhead, so it reflects whole-company efficiency. CAC payback and the magic number look only at sales and marketing efficiency. If your burn multiple is high but CAC payback is healthy, the issue is probably outside go-to-market. If both are weak, fix acquisition first.
How AI outbound affects burn multiple
AI-driven outbound researches each account, verifies contact data, personalizes messaging to a real trigger, handles follow-up and books qualified demos with decision makers directly on the calendar. Because it replaces part of a fixed SDR payroll with a more variable cost, it can lower the cash needed to create each dollar of new pipeline, which improves burn multiple without slowing growth.
Common mistakes when measuring burn multiple
Do not use gross new ARR when churn is material. Do not compare a single month, since annual contracts and quarter-end deals distort it. Do not ignore one-off costs such as a restructure. And do not chase a low number by underinvesting in pipeline, because a burn multiple that improves while net new ARR falls is not a win.
How to use this benchmark
Calculate burn multiple each quarter from net burn and net new ARR, compare it with the bands for your stage, and trace any gap back to pipeline cost, conversion or retention. To see how Prospect AI books qualified demo calls with decision makers who match your ICP, book a demo.