Industry segmentMedianCohortVintage
Dev Tools / Infrastructure75.2%n=10TTM Q4 2025
General B2B SaaS81.3%n=8TTM Q4 2025
Security / Compliance76.7%n=9TTM Q4 2025
MarTech / Sales Tech73.9%n=9TTM Q4 2025
Vertical SaaS65%n=10TTM Q4 2025
Fintech / Payments70%n=5TTM Q4 2025
HR / Workforce74.5%n=5TTM Q4 2025
Healthcare / MedTech71.2%n=4TTM Q4 2025
All segments combined median: 75% (n=60)
Primary source: SEC EDGAR companyfacts API (data.sec.gov), us-gaap XBRL facts, computed TTM per-company and aggregated as a segment median. See data/benchmarks_public.json for the full derivation (method, company sample, period) behind every number on this page.
Method: (Revenue - CostOfRevenue) / Revenue, or GrossProfit / Revenue where reported directly, TTM, cohort median. Period: TTM ending 2025-12-31. Companies used: 60 (SEC CIKs, see derivation.cik_sample in benchmarks_public.json). Flags: G1, G3.
G1 — Revenue tag varies by issuer
Public companies report revenue under different us-gaap XBRL tags depending on when they adopted ASC 606: RevenueFromContractWithCustomerExcludingAssessedTax or ...IncludingAssessedTax (post-2018), or the older Revenues tag (pre-ASC 606, or issuers who never switched). This pipeline checks all three tags and uses whichever has data for the period — flagged here whenever a segment's cohort includes at least one company using a fallback tag.
G3 — TTM sometimes requires a Q4 plug
10-Q filings report cumulative year-to-date figures, not always a discrete quarter. Where a discrete Q4 fact is not filed directly, this pipeline derives it as Q4 = FY (10-K total) − sum(Q1+Q2+Q3, 10-Q). Every company/period where this plug was used is logged explicitly — never silently assumed.

SaaS gross margin by business model (Bessemer / KeyBanc, attributed)

IndustryBusiness ModelMedian GM%Top Quartile GM%Bottom Quartile GM%Rating
Pure SaaS / Subscription — highest gross margins in software
Dev Tools / InfrastructureSubscription78%87%68%High
General B2B SaaSSubscription76%84%65%High
Security / ComplianceSubscription74%83%63%High
MarTech / Sales TechSubscription72%81%60%High
Vertical SaaSSubscription68%78%56%Mid-High
Fintech / PaymentsSubscription68%79%55%Mid-High
HR / WorkforceSubscription66%76%54%Mid-High
Healthcare / MedTechSubscription65%76%52%Mid-High
Usage-Based / Consumption — margins compressed by infrastructure costs scaling with usage
Dev Tools / InfrastructureUsage-based62%74%48%Variable
General B2B SaaSUsage-based60%72%45%Variable
MarTech / Sales TechUsage-based58%70%42%Variable
Fintech / PaymentsUsage-based55%67%40%Variable
Security / ComplianceUsage-based60%71%44%Variable
Healthcare / MedTechUsage-based52%63%38%Variable
Hybrid (SaaS + Professional Services) — services revenue drags blended margin
General B2B SaaSHybrid58%68%44%Mid
MarTech / Sales TechHybrid55%65%40%Mid
Vertical SaaSHybrid52%63%38%Mid
HR / WorkforceHybrid50%61%36%Mid
Healthcare / MedTechHybrid48%58%34%Mid
Security / ComplianceHybrid56%66%42%Mid
Fintech / PaymentsHybrid50%61%36%Mid
Marketplace / Transaction — take-rate model; gross margin reflects net revenue, not GMV
Fintech / PaymentsMarketplace / Transaction42%55%28%Low
MarTech / Sales TechMarketplace / Transaction45%58%30%Low
Vertical SaaSMarketplace / Transaction38%50%24%Low
Healthcare / MedTechMarketplace / Transaction35%48%20%Low
Sources: KeyBanc Capital Markets SaaS Survey 2023, Bessemer State of the Cloud 2024, public SaaS company SEC filings 2023–2025. Gross margin = (Revenue − COGS) / Revenue per GAAP.

Business model matters more than industry

A healthcare subscription SaaS runs 65% gross margins. A healthcare marketplace runs 35%. Same industry, 30-point gap. When benchmarking your gross margin, match by business model first, industry second. Usage-based models compress margins because infrastructure scales with consumption — the best mitigation is pricing efficiency (cost per unit of consumption declining as you scale). Services revenue above 15% of total revenue will structurally hold blended margins below 65%.
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