Financial Planning
Venture Portfolio Outcomes: Beyond the Average
Compare two venture outcome distributions with the same headline multiple and stress-test dependence on the largest result.
What you will learn
- Reconcile portfolio proceeds from individual investments.
- Compare two original outcome distributions with the same total multiple.
- Measure dependence on the largest outcome without inventing probabilities.
A portfolio average can hide how much the result depends on one investment. Model the individual outcomes and their capital weights, then test what happens if the largest outcome changes. A scenario distribution is an assumption, not evidence that a fund will produce those results.
Use research as context, not a forecast
AngelList’s 2020 platform-data research examines skewed early-stage outcomes in its particular sample. That is motivation to inspect concentration, not a universal forecast or a probability model for a new fund. The distributions below are entirely invented and not fitted to that data.
Compare two equal-capital portfolios
Both fictional portfolios invest $1 million in each of ten companies, for $10 million total. Every investment is fully realized and there are no follow-ons, fees, carry, debt or residual values.
Two distributions with the same $20M gross proceeds
| Outcome group | Portfolio A | Portfolio B |
|---|---|---|
| Zero-return investments | 0 | 8 × $0 = $0 |
| 2x investments | 10 × $2M = $20M | 1 × $2M = $2M |
| 18x investments | 0 | 1 × $18M = $18M |
| Total invested | $10M | $10M |
| Total proceeds | $20M | $20M |
| Portfolio multiple | 2.00x | 2.00x |
The 2x headline is identical. In B, one company provides 90% of gross proceeds. In A, each company contributes 10%. The result’s dependence is different even though the average money multiple matches.
Remove the heroic assumption
Replace B’s 18x result with a 1x result while leaving the other nine outcomes unchanged. Proceeds become $0M + $2M + $1M = $3M, or 0.30x on the $10M invested. This is a stress test, not an assertion about how likely a large outcome is.
A useful model makes this dependence inspectable. It should not label an 18x outcome “conservative” or “expected” merely because the spreadsheet needs it to reach a desired fund result.
Do not average away unequal checks
The simple average of individual multiples matches the portfolio multiple here only because every check is $1 million. With different invested amounts, calculate total proceeds divided by total investment, or use invested-capital weights. Follow-ons also change those weights.
Keep time and remaining value separate. A $20 million mark is not a $20 million cash exit, and the same proceeds arriving in different years produce different timing results. Invest Europe’s reporting guidance distinguishes investment-level measures and fund reporting bases.
Copy a portfolio-outcome worksheet
Outcome-dependence model
Investment ID / invested capital / timing: [ ]
Outcome amount or multiple / scenario label: [ ]
Proceeds / residual value / realized status: [ ]
Portfolio proceeds divided by invested capital: [ ]
Largest one and three contributions: [ ]
Change or remove largest outcome: [ ]
Follow-on costs / fees / carry / timing excluded or defined: [ ]
Probability source, or explicitly no probability claim: [ ]Use the scenario to improve the discussion
The question is not which table looks more exciting. It is which assumptions drive the conclusion and what evidence could challenge them. Keep the model, sources and LP questions together through Finta’s emerging-manager resources. The exercise explains dependence; it does not recommend a portfolio or promise outliers.
About this lesson. By Finta Editorial Team. Sources reviewed November 14, 2026. All example amounts, entities and outcomes are fictional teaching inputs, not observed fund performance. General education, not legal, tax, accounting or investment advice. Use qualified advisers and the governing documents for an actual fund.