What Is Burn Multiple?
Burn multiple is net burn divided by net new ARR over the same period. Lower is better.
It answers one question. How many dollars of cash does the business consume to add one dollar of recurring revenue? That framing is what makes it the capital efficiency SaaS investors screen on first, and it’s why the metric survived the 2022 repricing when growth-only metrics didn’t.
On the scale published with the metric, under 1x is amazing, 1x to 1.5x is great, 1.5x to 2x is good, 2x to 3x is suspect, and over 3x is bad.
Where the metric actually comes from
The canonical post is “The Burn Multiple” by David Sacks, published by Craft Ventures on April 23, 2020, republished on his Substack “Bottom Up” at the same slug.
Two dates get misreported constantly. The post is not from December 2020, and there is no separately published Sacks revision from 2022. Pages citing “his new 2022 benchmarks” are pointing at the same April 2020 artifact, which carries an identical slug across both platforms. Worth getting right, because the rest of the topic inherits the error.
Sacks wrote the formula as Burn Multiple = Net Burn / Net New ARR, and framed the interpretation as “how much is the startup burning in order to generate each incremental dollar of ARR.”
He built it by inverting two metrics he found unsatisfying, both named in the post. The Hype Ratio, capital raised or burned over ARR, only works during fundraising windows and treats sunk capital as permanent. The Bessemer Efficiency Score, net new ARR over net burn, is the literal reciprocal. Sacks flipped the numerator and denominator because doing so “puts the focus squarely on burn.”
Why it isn’t the same as burn rate
Burn rate is a raw dollar amount of cash consumed per period. Burn multiple is that same burn divided by the ARR it bought. A $500K monthly burn is excellent at one company and alarming at another, which is the entire reason the ratio exists. If you’re still setting the underlying spend level, our guide to the ideal burn rate for a growing company covers that side of it.
Sacks calls burn multiple a catch-all metric. Because burn sits in the numerator and growth sits in the denominator, a bad reading can be caused by gross margin, sales efficiency, churn, a growth stall, or a leadership problem. It doesn’t tell you which. It tells you that one of them is true.
The property that matters most operationally is that burn multiple resets to the current period and ignores sunk cost. The Hype Ratio carries every dollar you ever raised, permanently. Burn multiple recalculates from scratch, so a company can move it materially inside a single quarter.
That’s why boards ask for it monthly.
How to Calculate
A SaaS burn multiple calculation takes ten seconds. Making the two inputs defensible takes a clean ARR waterfall and a burn figure with financing activity stripped out, which is where most reported numbers go wrong.
Burn Multiple = Net Burn (period) / Net New ARR (same period)
Net New ARR = New ARR + Expansion ARR – Contraction ARR – Churned ARR
Corporate Finance Institute states net burn as cash revenue minus cash operating expenses, with net new ARR built from new plus expansion minus churn. Equals defines net burn as the cash a company spends in excess of the revenue it generates over a specific period, explicitly excluding asset sales, capital injections, and interest income as non-operational.
Worked example. A company burns $1.5M of operating cash in Q2 while ARR moves from $8.0M to $9.2M. Net new ARR is $1.2M. Burn multiple is 1.25x, which lands in the Great band.
Six traps that break the number
- Using change in cash balance as net burn. Change in cash includes financing inflows. In the month a $10M Series B lands, a company measuring this way reports a negative burn multiple and looks world class while burning $600K a month. Net burn has to be operating cash flow only, with equity raises, debt draws, debt service, and interest income removed.
- Annual prepay distortion on a cash basis. Companies collecting annual contracts up front book a large inflow in the collection month, so a pure cash-basis number looks excellent in a heavy renewal month and terrible in a light one with no change in underlying economics. If your books are still cash-basis, our cash to accrual conversion playbook for SaaS is the prerequisite work.
- Substituting revenue growth for ARR growth. ARR isn’t a GAAP measure and doesn’t exist in the general ledger. Under ASC 606, ratable recognition lags contract signature, so a strong booking quarter shows up as flat revenue while deferred revenue release shows up as growth you didn’t earn this period. The two diverge most sharply exactly when growth is inflecting.
- Period mismatch. Net burn is a flow measured over a window. Net new ARR is the delta between two point-in-time snapshots. The common error is dividing an annualized burn figure by a quarterly ARR delta, which inflates the result roughly 4x.
- No new versus expansion versus churn separation. Subtracting last month’s ARR from this month’s gets you a net number with zero diagnostic power. You’ll know the burn multiple is 2.4x and have no idea whether the cause is a broken acquisition motion or a leaking base.
- The negative and undefined cases. When net new ARR is zero, the metric is undefined. When net new ARR is negative and the company is burning, the reading goes negative and looks identical on a chart to a profitable, growing company. Two opposite realities, same sign. Any dashboard carrying this metric needs a guard that suppresses or annotates the value whenever net new ARR is at or below zero.
Two variants worth knowing
For businesses running below roughly 70 percent gross margin, Airtree Ventures publishes a gross-margin-adjusted version: Net Burn / (ARR Growth x Gross Margin %).
Craft Ventures published its own non-SaaS adaptation in “Applying the Burn Multiple to Marketplace Business Models” by Jeff Fluhr, June 1, 2022. The denominator swaps ARR growth for growth in annualized gross profit, because marketplace gross margins span 35 to 85 percent against SaaS at 70 to 85 percent. Fluhr also recommends calculating annually alongside quarterly, since seasonality can produce quarter-over-quarter gross profit declines and therefore uninformative negative readings.
His marketplace scale is a different table from the SaaS scale and shouldn’t be blended with it: under 0.75 excellent, 0.75 to 1.0 good, 1.0 to 1.5 acceptable, 1.5 to 2.5 concerning, over 2.5 poor. This matters for any company with a usage-priced or transaction-fee revenue line, and increasingly for AI-native SaaS where gross margin has fallen out of the classic band.
Reporting cadence
Report burn multiple monthly as a trend, alongside a trailing-three-month average. Single-month readings are noisy, because severance, legal settlements, annual insurance prepayments, R&D credit refunds, and lumpy enterprise closes all move one month materially without saying anything about the business.
CRV reports that a worsening quarter-over-quarter burn multiple trend is itself a diligence red flag, independent of the level. The direction gets scored, not just the number.
Benchmarks by Stage
A clean burn multiple benchmark matrix by stage isn’t well supported by published data. Sacks’ scale is universal, not stage-segmented, and the tidy four-row tables filling page one are mostly derived rather than sampled.
Here’s what actually exists, sorted by what kind of evidence each item is. That distinction is the honest state of burn multiple by stage data, and almost nobody publishing on this topic makes it.
Tier 1. The published scale, which is universal
Sacks presented this as an image table under the line “For venture-stage startups, these are reasonably good rules of thumb.” Because it was an image rather than text, it gets transcribed badly.
| Burn multiple | Efficiency |
|---|---|
| Under 1x | Amazing |
| 1x to 1.5x | Great |
| 1.5x to 2x | Good |
| 2x to 3x | Suspect |
| Over 3x | Bad |
Source: David Sacks, Craft Ventures, April 23, 2020. Independently reproduced at Stats For Startups and consistent with the summaries at Wall Street Prep and Corporate Finance Institute, which renders the same bands as excellent under 1.0, strong 1.0 to 1.5, reasonable 1.5 to 2.0, and concerning above 2.0.
One factual note, because it changes what a reader thinks their number means. A shifted variant circulates in which amazing is under 0.5, great is 0.5 to 1.0, good is 1.0 to 1.5, and suspect is 1.5 to 3.0. Drivetrain publishes that version attributed to Sacks. It is one band tighter than the original at every row, so a 1.3x company reads as Great on the published scale and merely Good on the variant. Use the table above and know the variant exists.
Tier 2. Sacks’ own qualitative stage guidance
From the same post. This is illustrative guidance, not sampled data, and Sacks presents it that way.
| Stage | Sacks’ qualitative expectation |
|---|---|
| Seed | Burn multiple around 3 |
| Post Series A | Drops to around 2 |
| Post Series B | Tighter again, because “the sales team should be operating at scale” |
| Maturity | Should “approach 0 over time” |
He gives two anchor examples alongside it. 2x is reasonable for an early-stage startup. 5x is terrible and should trigger immediate cost cuts.
Tier 3. The sampled data that does exist
Scale Venture Partners, “Benchmarking SaaS Growth and Burn,” July 11, 2022, drew on the Scale Studio dataset of several hundred private and public SaaS companies, using operating income as the burn proxy. Pooled averages came in at 3.4x for the $0M to $1M ARR band and 1.4x for $25M to $50M, with a full-dataset average near 1.6x. Their framing: the typical SaaS startup burns $1.60 for every $1 in net new ARR across its lifecycle from seed to IPO. The study is dated July 2022, and only those two band figures appear in text, so don’t extrapolate a full matrix from it.
Scale also published a finding that runs against intuition. Within every ARR band, the top-decile and top-quartile growth companies had the lowest burn multiples. High growth didn’t cost efficiency. It correlated with it.
Lighter Capital’s cash efficiency benchmarks is the best-matched dataset for a $1M to $20M ARR company: 83 private B2B SaaS companies with ARR from roughly $250K to $22M, using actual business metrics collected across 2024 through 2025 rather than survey responses. The page doesn’t carry a clear publication date, so treat the window as the collection period.
- Median burn multiple among the 55 cash-burning companies is 1.12x, with 66 percent of the full sample cash flow negative and 32.5 percent generating positive free cash flow.
- The distribution is bimodal. 51 percent burn more than $1.00 per dollar of net new ARR, while 24 percent burn less than $0.33. Only 15 percent land between 0.67x and 1.0x, and 8 percent between 0.33x and 0.67x.
- AI startups post a 0.79x median against 0.89x for traditional SaaS. Vertical SaaS posts 0.88x against 1.05x for horizontal.
The bimodality is the most useful finding here for a growth-stage reader. There is no meaningful average company. There are two populations, and the middle is thin.
Benchmarkit’s 2025 B2B SaaS Performance Metrics Benchmarks publishes a scaling target rather than a distribution: companies should reach a burn multiple below 1.0 in the $25M to $50M ARR range, and eventually turn it negative. The same report puts expansion ARR at 58 percent of total new ARR in the $50M to $100M band and 67 percent above $100M.
CRV published its own Series A diligence tiering on July 17, 2026, which is close to Sacks but explicitly stage-framed: below 1.0x exceptional, 1.0x to 1.5x strong efficiency, 1.5x to 2.0x acceptable for a Series A still proving the model, 2.0x to 3.0x concerning enough to trigger detailed spending questions, and above 3.0x problematic.
Tier 4. Published stage tables with no disclosed sample
First Page Sage publishes a clean four-stage table, originally June 14, 2022 and last modified December 28, 2023, that gets copied widely. Their own page attributes the standards to Sacks’ framework in a 2022 market context rather than to a sampled dataset, and discloses no sample size.
| Growth stage | On target | Exceptional |
|---|---|---|
| Seed | 1.5 | 0.75 |
| Early / Series A | 1.25 | 0.75 |
| Mid / Series B | 1.0 | 0.65 |
| Late / Series C | 0.85 | 0.5 |
Useful as a reference point. Not benchmark data, and it shouldn’t be quoted to a board as though it were.
What the major surveys don’t publish
No current large-sample per-stage burn multiple matrix exists in the public benchmark literature. High Alpha’s 2025 SaaS Benchmarks Report, the ninth annual edition and the successor to the OpenView report, drew more than 800 companies and published growth, retention, and ARR per FTE by band with no burn multiple table. The KeyBanc Capital Markets and Sapphire Ventures 16th annual Private Company SaaS Survey, released November 13, 2025, publishes ARR growth and retention, not burn multiple. Bessemer’s Cloud 100 Benchmarks Report 2025 publishes growth rates and ARR multiples, not burn multiple.
One correction worth carrying. OpenView Venture Partners wound down in 2024, so any page citing an “OpenView 2026 SaaS Benchmarks Report” is citing something that doesn’t exist. The successor survey is High Alpha’s, published November 12, 2025. If you’re assembling a metric set for a board deck, our note on SaaS metrics investors actually expect covers what goes around burn multiple.
What Drives Burn Multiple Variance
Two companies with identical burn and identical new logo bookings can post burn multiples a full point apart. The gap is almost always net dollar retention, gross margin, or go-to-market efficiency, and those three explain more variance than headcount decisions do.
Net dollar retention, the largest single lever
NDR sits directly in the denominator. Expansion ARR counts as net new ARR at effectively zero incremental acquisition cost, so every point of NDR above 100 percent lowers burn multiple without touching a line of spend.
The arithmetic makes it concrete. A $10M ARR company at 100 percent NDR has to source every dollar of growth from new logos. The same company at 115 percent NDR starts the year with $1.5M of net new ARR already banked. Both burn $3M and both land $2M of new logo ARR. The first posts 1.5x. The second posts 0.86x. Same spend, same sales team, Good versus Amazing.
Current reality for the target segment: SaaS Capital’s 2026 benchmarking of bootstrapped SaaS companies, from a 15th annual survey of more than 1,000 private B2B SaaS companies completed in March 2026, puts median NRR at 103 percent and median GRR at 91 percent for the $3M to $20M ARR band, with 90th percentile NRR at 117.9 percent. Their September 18, 2025 retention analysis shows median NRR at 102 percent for the $25K to $50K ACV band, top quartile at 111 percent, bottom quartile at 97 percent.
The 2025 SaaS Benchmarks Report from High Alpha, published November 12, 2025 across more than 800 companies, quantifies what happens when retention pairs with acquisition efficiency.
| Cohort | Median growth | Rule of 40 |
|---|---|---|
| High NRR, low CAC payback | 71% | 47 |
| High NRR, high CAC payback | 40% | 21 |
| Low NRR, low CAC payback | 30% | 33 |
| Low NRR, high CAC payback | 10% | 5 |
That’s a 61-point growth spread and a 42-point Rule of 40 spread between best and worst. Burn multiple collapses all of it into one number.
Gross margin
Gross margin sets the ceiling on how much of every new ARR dollar reaches the burn line. At 80 percent gross margin, $1M of new ARR contributes $800K toward covering opex. At 60 percent it contributes $600K, and the same opex base produces a burn multiple roughly 25 percent worse.
This driver got materially worse recently. The High Alpha 2025 report found early-stage gross margins down nearly 10 points year over year, attributed to AI infrastructure costs. CRV’s July 2026 piece puts private SaaS median gross margin at 77 percent against 55 to 65 percent for AI companies.
So a company shipping meaningful AI features is now being measured on a scale calibrated against 80 percent gross margin businesses. That’s the argument for reporting the gross-margin-adjusted variant alongside the headline number rather than instead of it.
Go-to-market efficiency
Scale Venture Partners’ sales efficiency primer, drawing on Scale Studio data covering more than 1,000 growth-stage SaaS and cloud businesses, reports long-term median sales efficiency around 0.7. The typical SaaS company generates $0.70 in new ARR per $1.00 of sales and marketing spend, with a top-quartile to bottom-quartile range of roughly 0.5 to 1.5.
That 3x spread flows straight into burn multiple. On SaaS Capital’s 2026 spending benchmarks, median sales spend is 15 percent of ARR with marketing another 8 percent, so go-to-market is 23 percent of ARR at the median. Moving from bottom-quartile to median sales efficiency on that base is a bigger swing than most cost-cutting exercises produce.
Three more drivers worth instrumenting
- R&D intensity. SaaS Capital’s 2026 spending benchmarks put median R&D at 22 percent of ARR, rising to 24 percent in the $3M to $5M band. R&D burns cash now and produces ARR later, so any platform rebuild or new product build carries a structurally worse burn multiple while it runs. That’s legitimate, and it belongs annotated in the board pack rather than buried. Our guide to reports investors will actually use covers how that commentary should read.
- Pricing power and business model. Lighter Capital’s data shows vertical SaaS at a 0.88x median against horizontal SaaS at 1.05x. Vertical products sell into narrower markets with less pricing pressure and lower acquisition cost per qualified buyer, and that shows up directly in the denominator.
- Growth rate itself. Scale Venture Partners found that within every ARR band, the highest-growth companies posted the lowest burn multiples. Slow growth isn’t a capital-efficient strategy. It’s usually a symptom that the acquisition motion isn’t working, and burn multiple registers that as inefficiency, correctly.
How to Improve Burn Multiple
There are only two places to act, the numerator and the denominator, and denominator moves usually beat numerator moves. Cost cuts improve the metric once. Retention and pricing improvements compound in every period after.
Ordered by expected impact per unit of effort, with the direction and rough magnitude each lever moves the number.
1. Build a real expansion motion
- Mechanism. Expansion ARR enters net new ARR at near-zero acquisition cost, so it improves the denominator without touching spend.
- Magnitude. Moving NDR from 100 percent to 110 percent at $10M ARR adds $1M of net new ARR annually with no CAC. Against a $4M annual burn, that alone moves burn multiple from roughly 2.0x to roughly 1.3x.
- What to do. Make seat-based expansion self-serve rather than sales-assisted. Add usage-tied pricing components. Package tiers so there’s an obvious next tier. Give the expansion number a named owner who isn’t the new logo AE.
- Evidence the headroom is real. Benchmarkit’s 2025 data shows expansion reaching 58 percent of total new ARR at $50M to $100M. Companies below $20M are nowhere near that, and SaaS Capital’s 90th percentile NRR of 117.9 percent for the $3M to $20M band shows the ceiling is reachable at this size.
2. Raise prices
- Mechanism. A price increase on the existing base lands in expansion ARR immediately and adds no cost.
- Magnitude. A 7 percent list increase applied at renewal across an $8M base at 90 percent GRR contributes roughly $500K of expansion ARR in the first cycle. On a $3M burn that’s worth roughly 0.2x to 0.3x.
- The caution nobody prints. Price increases can raise contraction and churn, which subtract from the same denominator. Model the net, and instrument contraction ARR as its own line before you push the increase, or you won’t be able to tell whether it worked.
3. Reallocate go-to-market spend by channel efficiency
- Mechanism. Cutting the worst-performing channels lowers burn while removing little ARR, improving both terms at once.
- Magnitude. At Scale’s median sales efficiency of 0.7, moving the bottom third of channel spend to median productivity on a go-to-market base of 23 percent of ARR is typically worth 0.2x to 0.4x.
- The prerequisite most companies fail. You can’t run this without channel-level CAC, which means marketing spend coded by channel in the general ledger and joined to the ARR waterfall by source. This is an accounting-system problem before it’s a marketing problem, and it’s the single most common reason a good idea here dies in a spreadsheet.
4. Fix gross margin
- Mechanism. Every point of gross margin recovered is a point of new ARR that actually reaches the burn line.
- What to do. Renegotiate cloud hosting into committed-use discounts. Retire or reprice unprofitable product lines and low-margin professional services. Price AI features to at least cover inference cost instead of bundling them free into existing tiers.
- Magnitude. SaaS Capital’s 2026 benchmarks put median hosting at 5 percent of ARR and DevOps at 4 percent, so a 30 percent hosting reduction on a $10M ARR base is $150K annually. Modest alone. Meaningful stacked against the near-10-point early-stage gross margin decline High Alpha reported, and repricing AI features is the larger version of the same lever.
5. Cut non-revenue-generating headcount
- Mechanism. Burn multiple recalculates from the current period and ignores sunk cost, so a cost reduction shows up in full the following month.
- Magnitude. Direct and linear. A 15 percent reduction in a $4M annual burn is $600K, worth roughly 0.3x at $2M of annual net new ARR.
- The honest caveat. Cuts that land on customer success or product raise churn and lower expansion within two to three quarters, degrading the denominator and leaving burn multiple worse than where it started. Sequence against G&A and non-quota-carrying overhead first. For reference, SaaS Capital’s median G&A is 15 percent of ARR, the same as sales.
6. Fix the measurement window before you act
This isn’t a business lever. It’s a measurement one, and it prevents expensive mistakes. A single elevated month driven by an annual insurance prepayment or a severance charge is not a burn multiple problem, and acting on it as though it were destroys real capacity. Report the trailing three months alongside the monthly series and annotate one-time items in the board pack, so the board reacts to signal instead of accrual timing. If nobody owns that discipline internally, it’s a standard part of fractional CFO advisory.
What doesn’t work
Slowing growth to preserve cash. Scale Venture Partners’ finding is unambiguous: within every ARR band, higher-growth companies had lower burn multiples. Growth deceleration shrinks the denominator faster than deliberate spend reduction shrinks the numerator, and the metric gets worse rather than better.
How Indinero Builds Burn Multiple Tracking Into Reporting
Indinero builds burn multiple into monthly close and board prep, starting with the accounting that produces the two inputs rather than the spreadsheet that divides them.
Here’s the part a benchmark page can’t help with. Most companies below $20M ARR can’t compute burn multiple correctly, and not because the formula is hard. Their books were never built to produce the inputs. The formula is arithmetic. The inputs are an accounting problem.
Four things have to be true before the number means anything.
- A real ARR waterfall exists, split into components. Beginning ARR, plus new logo, plus expansion, minus contraction, minus churn, equals ending ARR, reconciled monthly and tied back to contract records. ARR isn’t a GAAP output and doesn’t exist in QuickBooks or NetSuite by default. Someone has to build and maintain it.
- Operating burn is isolated from financing and investing flows. Equity proceeds, venture debt draws, debt service, and interest income come out. If the metric runs on operating loss instead of cash, that choice gets documented and applied consistently, which is the same call Scale Venture Partners made in its own benchmark work for the same reason.
- Periods are aligned and stated. Monthly burn against monthly ARR delta, quarterly against quarterly, with the convention written on the report.
- Revenue recognition is clean enough that ARR and recognized revenue reconcile. Under ASC 606, a multi-year contract, an annual prepay, and a monthly subscription produce three different revenue curves against the same ARR. If deferred revenue isn’t properly scheduled, the two drift and nobody can say which number the board should believe.
Where this breaks in practice is predictable. Bookings live in the CRM, invoices live in the billing system, cash lives in the bank and the general ledger, and nothing reconciles the three. So the finance lead exports two spreadsheets, subtracts one ARR figure from another, divides by whatever the bank balance moved, and reports a number that’s wrong in exactly the months that matter most. The month you raised. The month the annual renewals landed. The month the big enterprise deal closed.
Indinero fixes the underlying accounting first, then instruments the metric. That means a close-grade ARR waterfall with new, expansion, contraction, and churn separated, an operating burn figure with financing activity stripped out, revenue recognition schedules that tie ARR to recognized revenue, and burn multiple reported as a monthly trend plus a trailing-three-month average in the same board pack as burn and runway. It rides inside fractional CFO services rather than as a separate analytics project, with the dashboard build handled through technology and business intelligence services when the reporting needs to live somewhere your team can see it daily. Continuous operations since 2009, 500+ regular customers.
A benchmark page can tell you what good looks like. It can’t make your own number trustworthy.
Frequently asked questions
Still deciding which figure to put in front of your board? These cover where the metric came from, how to calculate it without contaminating the inputs, what the stage evidence really supports, and how burn multiple compares to the go-to-market metrics it replaced.
What is burn multiple and who coined it?
Burn multiple is net burn divided by net new ARR, coined by David Sacks of Craft Ventures in an April 23, 2020 post. Dates get misreported often. There’s no separate 2022 revision, and the post isn’t from December 2020, so check the source before quoting a scale to your board. Sacks built the metric by inverting Bessemer’s Efficiency Score, which put burn in the numerator and made the cash cost of growth the headline number.
How do you calculate burn multiple?
Burn multiple is net burn divided by net new ARR, where net new ARR is new plus expansion minus contraction minus churn. Both inputs must cover the same window, and net burn means operating cash only, with equity raises, debt draws, and interest income stripped out. Miss that and the month a $10M round closes will report a negative burn multiple while the company burns $600K monthly. Indinero isolates operating burn and rebuilds the ARR waterfall during monthly close so both inputs hold up.
What is a good burn multiple by stage in 2026?
David Sacks’ published burn multiple scale is universal, not per stage: under 1x is amazing, 1x to 1.5x great, and over 3x bad. The middle bands run 1.5x to 2x good and 2x to 3x suspect, and a clean per-stage matrix isn’t well supported by published data. What exists is Sacks’ qualitative guidance of roughly 3x at seed and 2x after Series A, plus Lighter Capital’s 1.12x median across 83 private B2B SaaS companies. Treat the tidy four-row stage tables as derived, not sampled.
How does burn multiple differ from Magic Number and CAC Payback?
Burn multiple covers the efficiency of all operating spend, while Magic Number and CAC payback measure only sales, marketing, and new customer acquisition. A company can post a healthy 0.9 Magic Number and still burn 3.5x, because Magic Number never sees a 45-person R&D org. Direction differs too, since lower is better for burn multiple and CAC payback while higher is better for Magic Number. Burn multiple is the smoke alarm. The others are the floor plan.
What factors actually drive burn multiple variance between companies?
Net dollar retention, gross margin, and go-to-market efficiency explain more burn multiple variance than headcount decisions do. NDR leads because expansion ARR enters the denominator at near-zero acquisition cost. Moving NDR from 100 to 110 percent at $10M ARR adds $1M of net new ARR with no CAC. Growth rate is the surprise driver. Scale Venture Partners found the fastest-growing companies posted the lowest burn multiples inside every ARR band, so slowing down makes the number worse.
What levers can a CFO pull to improve burn multiple?
To improve burn multiple, denominator levers beat numerator levers: build an expansion motion, raise prices, and reallocate go-to-market spend before cutting headcount. Cost cuts improve the number once. Retention and pricing compound every period after. The catch is that channel reallocation needs marketing spend coded by channel in the general ledger and joined to the ARR waterfall by source, which is why indinero treats it as a close problem first.
Why do investors increasingly use burn multiple in diligence?
Burn multiple can’t be gamed by moving spend between departments, since every operating dollar sits in the numerator regardless of cost center. It’s also period-current and sunk-cost blind, so it reflects how the business operates now rather than capital raised in 2021. CRV’s July 2026 Series A framework flags a worsening quarter-over-quarter trend as a red flag independent of level. Expect the follow-up question too, because investors ask how the number was calculated, and a missing ARR waterfall costs more credibility than a mediocre reading.
