The State of VC-Backed Executive Compensation

4,272 executive data points across 550+ VC-backed companies — view the insights below.

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Frequently Asked Questions

What is the State of VC-Backed Executive Compensation report?

The State of VC-Backed Executive Compensation is Comprehensive's 2026 analysis of 4,272 executive compensation data points from 550+ venture-backed companies. It covers base salary, variable pay, total cash compensation, and equity for C-suite, VP, and CEO roles, broken down by function, capital raised, location, founder status, and AI-native status.

What is the biggest predictor of executive pay at VC-backed companies?

Capital raised. Controlling for role and seniority, total capital raised explains roughly 28% of the variation in executive pay — about 2.4x more than company revenue and 53x more than sector. Companies that have raised $250M+ pay C-level executives a median of $533K in total cash, versus $300K at companies that have raised $25–50M.

How much do executives at VC-backed startups make?

Median total cash compensation for non-founder C-suite executives ranges from $404K (COO) to $600K (CRO). At the VP level, medians range from $287K (VP Operations) to $450K (VP Sales). The report includes full percentile distributions (25th–90th) for base, variable, total cash, and equity across 8 functions.

Do founder CEOs get paid less than non-founder CEOs?

Yes — significantly. Founder CEOs earn a median of $257K in total cash versus $600K for non-founder CEOs, a controlled cash discount of 32–45% depending on capital raised. The trade-off is equity: founder CEOs hold a median 16% versus 4.5% for non-founders, though that equity advantage shrinks from ~3.8x at $10–25M raised to just 1.3x at $250M+.

Is there an AI pay premium for executives?

Mostly no — it's a well-funded-company premium in disguise. On the surface, AI companies pay C-suite executives ~11% more, but AI companies are over-represented among $250M+ raises, Tier 1 cities, and 500+ headcounts. After controlling for those factors, the AI premium shrinks to 3.3% on total cash and disappears entirely on equity.

How much does location affect executive pay?

Within the U.S., surprisingly little. Executives in Tier 2 cities (Boston, LA, Seattle, DC, Chicago) earn only ~6% less than Tier 1 (SF Bay Area, New York), and Tier 3 just ~8% less — far tighter than the up-to-25% spreads seen in non-executive comp. International gaps are wider, with the UK the closest to U.S. levels at 12% below Tier 1.

How does capital raised change the cash-versus-equity mix?

More capital means more cash and less equity. C-suite median total cash climbs ~1.8x from under-$50M companies to $250M+ companies, while median C-suite equity halves over the same range. The VP equity drop is steeper: from 0.42% at under-$50M to 0.07% at $250M+.

What is the methodology behind the report?

The analysis uses OLS regression on 4,272 executive records (log total cash as the dependent variable), with variable importance measured via Johnson's relative weights — the standard approach when predictors like capital raised, revenue, and headcount are correlated. Descriptive medians use non-founders only; regressions include founder status as a predictor. The full-sample model explains ~53% of pay variation. A full methodology section is included in the report.

How current is the data?

The dataset is updated year-round rather than as an annual snapshot. This 2026 report reflects the current dataset of 4,272 executives at 550+ VC-backed companies, sourced directly from participating companies and validated by compensation experts.

Who is this report for?

It was built for the people setting executive pay at VC-backed companies: founders making a senior hire, people leaders setting hiring ranges, VC talent partners supporting portfolio companies, and compensation professionals who need defensible, VC-specific market data.

Can I access the full dataset behind the report?

Yes, and it's free. Companies that participate in the Comprehensive Executive Compensation Survey get full access to the underlying dataset, including the ability to filter by capital raised, valuation, funding stage, location, and more. The only price is contributing your own data.