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VC Fund Benchmarks: Industry Return Data Every LP and GP Should Know

VC fund return benchmarks by quartile, vintage year, and fund size. TVPI, DPI, IRR, and the J-curve—what LPs and GPs need to know to contextualize fund performance.

Michael KaufmanMichael Kaufman··9 min read

Quick Answer

VC fund return benchmarks by quartile, vintage year, and fund size. TVPI, DPI, IRR, and the J-curve—what LPs and GPs need to know to contextualize fund performance.

Venture capital is an asset class defined by extreme variance. The difference between a top-quartile fund and a median fund is not incremental—it's the difference between transformative LP returns and capital tied up for ten years at returns that barely outpace public equity indexes. Understanding VC fund benchmarks is essential for LPs evaluating where to commit capital, for GPs positioning their performance against peers, and for emerging managers trying to understand what "good" actually looks like.

This guide covers the core return metrics, industry benchmarks by vintage year and fund size, the data sources that matter, and the nuances that make VC benchmarking more complicated than it looks.

The Core Return Metrics

TVPI (Total Value to Paid-In Capital)

TVPI = (Distributions + Remaining Value) / Paid-In Capital

TVPI tells you how many times an LP's invested capital has grown, accounting for both distributions already returned and the current paper value of unrealized investments. A TVPI of 2.5x means an LP has received or is projected to receive 2.5x their invested capital.

TVPI is the most commonly cited fund performance metric because it includes unrealized value—making it useful for evaluating funds that haven't fully exited. The limitation: TVPI includes NAV (net asset value of unrealized investments), which is based on fair value marks and can be subjective, especially in illiquid periods.

DPI (Distributions to Paid-In Capital)

DPI = Distributions / Paid-In Capital

DPI counts only actual cash returned to LPs—not paper value. A DPI of 1.0x means the fund has returned its investors' money. A DPI of 2.0x means investors have received twice their capital in cash. DPI is considered the most credible performance indicator because it reflects real money out the door, not fair value estimates.

Early in a fund's life (years 1–5), DPI is typically low or zero—the fund hasn't had exits yet. DPI becomes the key metric in years 7–10 as the portfolio matures and exits occur.

RVPI (Residual Value to Paid-In Capital)

RVPI = Remaining NAV / Paid-In Capital

RVPI represents the unrealized portion of the portfolio. TVPI = DPI + RVPI.

IRR (Internal Rate of Return)

IRR is the annualized rate of return on invested capital, accounting for the timing of cash flows. A fund that returns 3x in 3 years has a much higher IRR than one that returns 3x in 10 years.

Why IRR matters: Venture fund IRR is the primary return metric LPs use when comparing VC to other asset classes. A 20% IRR is considered strong. The best vintage years (particularly early 2010s for U.S. venture) have produced top-quartile fund IRRs of 25–40%.

The limitation of IRR: IRR can be manipulated by the timing of capital calls and distributions. Funds that call capital late and distribute early produce higher IRRs even with the same absolute TVPI. This is one reason LPs increasingly emphasize DPI alongside IRR.

Industry Benchmarks: What the Data Shows

U.S. Venture Capital Returns by Quartile (Cambridge Associates, 2025 data)

Cambridge Associates publishes the most widely cited VC benchmarks. For U.S. venture funds with 10+ year track records:

Top-quartile (Q1) fund performance:

  • TVPI: 3.0x–5.0x+
  • IRR: 20%–35%+
  • DPI: 2.0x+ (for mature funds)

Median fund performance:

  • TVPI: 1.5x–2.2x
  • IRR: 10%–15%
  • DPI: 1.0x–1.5x (for mature funds)

Bottom-quartile (Q4) fund performance:

  • TVPI: Below 1.3x
  • IRR: Below 8%
  • DPI: Below 0.8x

The spread between Q1 and Q4 venture funds is larger than in almost any other institutional asset class. This is the power law in action at the fund level—not just within portfolios.

Benchmarks by Vintage Year

Vintage year performance varies significantly based on when a fund was investing and the macro environment at exit.

Strong vintage years (high median and Q1 performance):

  • 2009–2012: Funds investing in the post-GFC recovery period benefited from a decade-long bull market. Many of the best-returning funds ever were seeded in this period.
  • 2015–2017: Strong exits in enterprise SaaS, fintech, and consumer internet. Several mega-exits (Slack, Zoom, Snowflake, Airbnb) drove strong distributions for funds with exposure.

Challenging vintage years (lower median performance):

  • 2000–2002: Funds caught in the dot-com bust. Median TVPI for 2000 vintage U.S. venture funds is below 1.0x—meaning median LPs lost money.
  • 2020–2022: TBD, but early marks suggest significant markdown risk. Many funds invested at peak valuations; the 2022–2023 correction has reduced NAV marks significantly.

Benchmarks by Fund Size

Fund size is one of the most important predictors of return dynamics.

Micro-funds ($10M–$50M AUM):

  • Higher variance: Micro-funds can produce extraordinary returns (20x+) on single portfolio companies, but also blow up entirely on small concentrated bets
  • Median TVPI: 1.4x–2.0x
  • Top-quartile TVPI: 4.0x–8.0x+
  • Access matters enormously: micro-funds often can't get allocation in the best deals

Small funds ($50M–$150M AUM):

  • The "sweet spot" for many emerging managers
  • Enough diversification to survive write-offs, still concentrated enough to generate alpha
  • Median TVPI: 1.5x–2.2x; Top-quartile: 3.5x–6.0x

Mid-size funds ($150M–$500M AUM):

  • Returns compress as fund size grows—harder to return a $300M fund at 5x than a $50M fund
  • Median TVPI: 1.4x–2.0x; Top-quartile: 2.5x–4.5x

Large funds ($500M–$2B+ AUM):

  • Large funds face the "denominator problem": to return 3x on a $1B fund, you need $3B in distributions, requiring very large exits
  • Median TVPI: 1.3x–1.8x; Top-quartile: 2.0x–3.5x
  • The top-quartile for large funds underperforms the top-quartile for small funds in TVPI terms, though absolute dollar returns are often larger

The J-Curve

Every VC fund follows a J-curve: early in the fund's life, management fees and write-offs create negative returns, then performance ramps as portfolio companies mature and exits occur. The J-curve depth varies by strategy—seed funds have a deeper J-curve but longer runway for outlier returns; later-stage funds have a shallower J-curve but lower potential multiples.

LPs evaluating early-vintage fund performance (years 1–4) should interpret TVPI carefully. A 1.2x TVPI in year 3 of a fund is not a signal of weak performance—it's expected. The meaningful inflection is typically years 5–7.

Data Sources for VC Benchmarks

Cambridge Associates

The gold standard. Cambridge publishes quarterly benchmarks for U.S. and global venture capital, tracking thousands of fund vehicles. Their data requires a subscription for detailed access, but quarterly summaries are published publicly.

Preqin

Preqin's alternatives data platform covers VC, PE, hedge funds, and real assets. Their VC benchmark module includes vintage-year IRR and TVPI data, LP activity tracking, and fund raising statistics. Preqin is the most commonly used platform by institutional LP teams.

PitchBook

PitchBook's LP intelligence module includes limited fund performance data, though coverage is less comprehensive than Cambridge or Preqin. Better for deal flow data and fund activity tracking than benchmark analysis.

Burgiss

Burgiss aggregates actual LP portfolio data from member institutions, making it arguably the most precise source for real-world performance—as opposed to GP-reported data that may have survivorship bias. Burgiss data is used by sophisticated institutional LPs for due diligence.

ILPA (Institutional Limited Partners Association)

ILPA publishes standardized reporting templates and aggregate data on GP-LP relationships. Not a benchmarking source for returns, but essential for understanding best practices in LP reporting and governance.

What LPs Should Know When Evaluating Fund Performance

Survivorship Bias

Benchmarks published by data providers have survivorship bias—poorly performing funds are underrepresented because they don't share data with reporting platforms. The actual median fund return is likely lower than what benchmark data suggests.

The Denominator Problem at Scale

When evaluating a large fund's claimed TVPI, ask: how much of that is unrealized NAV vs. actual distributions? A $500M fund with a 2.5x TVPI sounds strong—but if DPI is only 0.3x and RVPI is 2.2x, most of that "return" is still paper value subject to markdown.

Vintage Year Context

A 2x TVPI from a 2010 vintage fund is mediocre (it was the best time to be a venture fund). A 2x TVPI from a 2021 vintage fund in 2026 might be excellent given the correction. Always evaluate performance against vintage-year benchmarks, not absolute numbers.

Manager Persistence

Unlike other asset classes, top-quartile venture performance shows some persistence—meaning funds with strong first-fund returns are more likely to perform well in subsequent funds than in, say, hedge funds or PE. This is why LPs fight for allocation in established franchise funds.

Benchmarks for Emerging Managers (Fund I and II)

First-time fund managers face a bootstrapping problem: they need to establish a track record to raise capital, but they can't establish a track record without capital. As a result, the benchmarks for emerging managers look different:

  • Fund I median TVPI: 1.3x–1.8x (lower due to conservative deployment, learning curve, and limited access to top deals)
  • Fund I top-quartile TVPI: 2.5x–4.0x
  • Fund II improvement: Successful Fund I managers typically see meaningful improvement in Fund II as their access and deal quality improve. The jump from Fund I to Fund II is often the most significant performance improvement in a manager's lifecycle.

For LP due diligence on emerging managers, Fund I performance is a leading indicator but not the whole story—track record from the manager's prior firm, deal-by-deal history, and the quality of Fund I company builds matter as much as TVPI in years 1–3.

The Bottom Line for GPs

If you're running a fund, here's how to contextualize your performance:

  • Top-quartile is the threshold. Institutional LPs are generally not interested in median or below-median funds. The LP economics only make sense for Q1 and occasionally Q2 performance given the 10-year illiquidity premium.
  • DPI is the credibility metric. Paper returns are nice; distributions are proof.
  • Emerging manager standards are different—but only at first. Fund II performance is evaluated against the same standards as established managers.
  • Benchmark against your vintage and fund size. A 2.0x TVPI looks different in different contexts—know where you sit before you go to market.

For LPs reading fund pitches: the benchmarks in this guide are the comparables. Ask every manager to show you their performance relative to Cambridge Associates top-quartile for their vintage. If they can't or won't, that's your answer.

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Michael Kaufman

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Michael Kaufman

Founder & Editor-in-Chief

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