Early-stage VC funds deliver the highest top-quartile returns โ about 2.8x TVPI and 25%+ net IRR โ but only if you survive a 50โ60% loss ratio to get there. That's the short answer. The longer answer is more interesting.
"Venture returns" is not one number. A seed fund, a growth fund, and a multi-stage platform are three completely different return engines wearing the same asset-class label. One chases 30x outliers and writes off half its portfolio; another buys revenue at a discount and returns cash in five years; the third tries to do both at once. If you're an LP allocating capital โ or a founder trying to understand what your investor actually optimizes for โ the strategy matters more than the brand on the door.
VC Fund Performance by Strategy in 2025: The Side-by-Side
VC fund performance by strategy in 2025 breaks cleanly into three buckets. Early-stage funds post the highest top-quartile TVPI (around 2.8x) and net IRR (25%+) but lose money on 50โ60% of deals. Growth-stage funds return a steadier 1.9x TVPI at 15โ18% IRR with roughly 20% loss ratios. Multi-stage funds blend the two and land near 2.2x. Here is the full comparison.
| Metric | Early-Stage | Growth-Stage | Multi-Stage |
|---|---|---|---|
| Top-quartile TVPI | ~2.8x | ~1.9x | ~2.2x |
| Median TVPI | ~1.6x | ~1.4x | ~1.5x |
| Top-quartile net IRR | 25%+ | 15โ18% | 18โ22% |
| DPI by year 7 | ~0.5x | ~0.8x | ~0.6x |
| Loss ratio (deals <1x) | 50โ60% | ~20% | ~35% |
| Typical fund size | $50Mโ$400M | $500Mโ$3B+ | $1Bโ$8B+ |
| Check size | $0.5Mโ$10M | $25Mโ$150M | $1Mโ$200M |
| Time to liquidity | 8โ12 yrs | 4โ7 yrs | 6โ10 yrs |
| Return driver | One 30โ50x outlier | Many 2โ4x exits | Mix of both |
Figures are 2025 estimates blended from Cambridge Associates US Venture benchmarks, PitchBook-NVCA, and Carta fund-performance data. Quartile and loss-ratio figures reflect mature 2014โ2019 vintages; younger vintages carry higher unrealized marks and lower DPI.
Early-Stage VC Fund Performance: Highest Ceiling, Most Losses
Early-stage funds โ seed and Series A โ are the purest expression of the power law. Of every 10 investments, 5 or 6 typically return less than the money put in, 2 or 3 return the capital or a small multiple, and 1 has to carry the entire fund. That one outlier needs to do 30โ50x to make a top-quartile fund work, which is why early-stage GPs obsess over upside rather than downside protection.
The reward for that variance is the highest ceiling in venture. Top-quartile early-stage funds from the 2014โ2018 vintages are showing roughly 2.8x net TVPI and net IRRs north of 25%, per Cambridge Associates and Carta data. The best individual funds โ the ones that caught a Stripe, a Coinbase, or an early enterprise SaaS breakout โ clear 5x net and pull the entire benchmark up. But the dispersion is brutal: the gap between a top-quartile and a bottom-quartile early-stage fund of the same vintage can be 2.5x or more, the widest spread of any strategy.
The catch is liquidity. Early-stage capital is locked up the longest โ 8 to 12 years โ and DPI builds slowly. By year seven, a strong early-stage fund might have returned only 0.5x in actual cash even while showing a 2x+ TVPI on paper. That gap between marks and distributions is exactly why DPI has become the metric LPs trust most; we break down why in why DPI is the only VC metric that matters.
Growth-Stage VC Fund Performance: Lower Multiples, Faster DPI
Growth-stage funds (Series C and beyond) flip the math. They buy into companies with $20Mโ$100M+ in revenue, real unit economics, and a visible path to exit. The loss ratio drops to roughly 20% because these businesses rarely go to zero โ but the upside compresses too. A growth winner returning 3โ5x is excellent; you almost never see the 30x outcomes that define early-stage.
The result is a tighter, lower distribution. Top-quartile growth funds land around 1.9x net TVPI with 15โ18% net IRR. That sounds worse than early-stage until you account for two things: speed and certainty. Growth funds return capital faster โ DPI of ~0.8x by year seven versus ~0.5x for early-stage โ and their dispersion is far narrower, so the difference between a good and a bad growth fund is smaller. For a pension or endowment that needs predictable liquidity, a 1.9x at 16% IRR with low variance can be more useful than a 2.8x that might also be a 1.1x.
Growth performance is also more exposed to the exit window. When IPOs stall โ as they largely did from 2022 through 2024 โ growth funds holding late-stage positions feel it first, because their entire thesis depends on a near-term liquidity event rather than a decade of compounding. You can track how multiples and exit conditions move on the VC Performance dashboard.
Multi-Stage VC Fund Performance: Blending the Curve
Multi-stage funds โ think the $1Bโ$8B platforms run by Andreessen Horowitz, Sequoia, or General Catalyst โ invest across the entire curve. They write seed checks for optionality and growth checks for capital deployment, often doubling down on their own winners as they mature. The pitch to LPs is the best of both worlds: early-stage upside with growth-stage capital efficiency and pacing.
In practice, multi-stage performance lands in the middle: roughly 2.2x top-quartile TVPI, 18โ22% net IRR, and a ~35% loss ratio. The structural advantage is information โ a multi-stage fund that seeded a company has years of proprietary data before deciding whether to lead its Series C. The structural drag is scale. At $5B+ in fund size, a single 10x return on a seed check barely moves the needle; the fund needs multiple billion-dollar outcomes just to hit 2.5x. That's the tax on size, and it's why the largest platforms increasingly look like asset managers as much as venture firms โ a shift we covered in how General Catalyst is reinventing the VC model.
Multi-stage funds also blur the benchmark. Because they hold positions from seed to pre-IPO, their TVPI carries a mix of richly-marked early bets and more conservatively-valued late-stage stakes โ which makes a clean apples-to-apples comparison against a pure seed or pure growth fund genuinely hard.
Which VC Fund Strategy Performs Best by Vintage Year?
Vintage year changes the answer more than strategy does. The 2012โ2015 vintages were spectacular across the board โ early-stage funds caught the mobile and SaaS wave, growth funds rode the late-cycle 2020โ2021 markups into real exits. The 2018โ2021 vintages tell a different story: early-stage funds are sitting on huge paper TVPI but thin DPI because exits dried up, while growth funds that bought at peak 2021 valuations are nursing markdowns.
| Vintage | Early-Stage (net TVPI) | Growth (net TVPI) | Notes |
|---|---|---|---|
| 2013 | ~3.4x | ~2.3x | Fully realized, strong DPI |
| 2015 | ~2.9x | ~2.0x | Mostly realized |
| 2017 | ~2.5x | ~1.8x | Mature, DPI building |
| 2019 | ~2.1x | ~1.6x | High marks, low DPI |
| 2021 | ~1.4x | ~1.1x | Bought at peak, marked down |
| 2023 | ~1.2x | ~1.1x | Too early to judge |
Net TVPI figures are top-quartile 2025 estimates blended from Cambridge Associates US Venture and Growth Equity benchmarks and PitchBook-NVCA. 2021โ2023 vintages are largely unrealized and subject to significant revision.
The pattern: early-stage outperforms growth on multiple in almost every vintage, but the gap is widest in good markets and narrowest in bad ones. In a down cycle, growth's lower loss ratio protects capital while early-stage's outliers haven't yet materialized. See the full vintage breakdown in VC fund performance by vintage year.
So Which Strategy Wins?
On pure multiple, early-stage wins โ and it isn't close. A 2.8x top-quartile early-stage fund beats a 1.9x growth fund by nearly a full turn of capital. But "wins" depends on what you're solving for.
Pick Early-Stage If You Want
- โ Maximum multiple (2.8x+ top quartile)
- โ Exposure to power-law outliers
- โ A 10โ12 year hold and can stomach 50%+ losses
- โ The widest dispersion โ manager selection is everything
Pick Growth If You Want
- โ Faster cash back (0.8x DPI by year 7)
- โ Lower loss ratio (~20%) and tighter dispersion
- โ Predictable, risk-adjusted returns
- โ Less reliance on a single fund-returner
For most LPs the honest answer is a barbell: enough early-stage to capture the outliers, enough growth to generate near-term liquidity, and a multi-stage manager or two for diversified exposure. The single biggest predictor of returns in every strategy isn't the strategy itself โ it's manager selection. The dispersion within early-stage alone is wider than the gap between strategies, which means backing a top-quartile growth fund beats backing a bottom-quartile seed fund every single time.
Strategy sets the shape of the return. Manager selection sets the size of it.
Early-stage has the highest ceiling at ~2.8x, growth returns cash fastest at 0.8x DPI by year seven โ but the top-quartile manager in either beats the median in both.
Compare fund returns, TVPI, DPI, and IRR by strategy and vintage on the VC Performance dashboard and the VC & PE Performance tool at Value Add VC. Originally published in the Trace Cohen newsletter.