How many portfolio companies should a venture fund have?

Testing the plan
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There is no correct number, but there is a correct test. A manager's target company count is credible when the fund can actually finance it. Start with committed capital, subtract fees, expenses and the follow-on budget, then divide what remains by the check the strategy expects to write. If the result does not match the number in the deck, the plan has a tension worth discussing.

The arithmetic, step by step

  1. Start with the fund size and what is genuinely investable. Fees and expenses over the fund's life reduce the capital available for investments.
  2. Separate initial investments from reserves. Capital held for follow-ons is not available for new companies.
  3. Divide the initial-investment budget by the expected check. The result is the number of initial positions the fund can support.

An illustrative example: assume a $30 million fund has $22 million available for investments after its cost budget. If 40 percent of investable capital is held for follow-ons, $13.2 million remains for initial checks. At a $500,000 average initial check, that supports about 26 companies. At $750,000, it supports about 17. These figures are illustrative, not a benchmark.

Then check that the check can buy the position

A mathematically possible check still has to buy the ownership the strategy describes. Compare it with the entry valuations, round sizes and allocations the manager expects to access. A $500,000 check means something different in a $5 million seed round than in a $15 million one. This is why company count, check size and ownership should be revised together. Our guide on whether a manager's ownership target is realistic works through that second step.

And that the team can carry the portfolio

The partnership has to source, decide on, monitor and support every company in the plan. A target of 40 companies with two partners who take board seats on most of them implies a workload worth asking about. Our guide on whether a team can carry its board load covers that check.

What a credible answer looks like

The best answer is a range with explicit assumptions, not a single precise number. A well-prepared manager can tell you the minimum and maximum company count the capital supports, the average check implied at each end, the ownership consequence and the workload the partners have accepted. If the manager can only give you one number, ask how it changes when the check size or reserve ratio moves.

Published ranges are a reasonableness check, not a rule

Practitioner sources describe common ranges. VC Lab, for example, describes many Fund I models as landing between 20 and 35 core positions. Ranges like that are useful for spotting an outlier, but they do not establish an optimal count for a specific fund. A concentrated strategy and a broad seed strategy can both be coherent. What matters is whether the count follows from the fund's own capital, checks and team.

Questions to ask the manager

  • How much of the fund is investable after fees and expenses?
  • How much is reserved for follow-ons, and how did you decide?
  • What average initial check does the plan assume, and what ownership does it buy at the valuations you expect?
  • What happens to the company count if checks run larger than planned?
  • After your first several investments, how does actual compare with plan?

Why this matters for an allocator

Company count is where several parts of a plan meet: fund size, fees, reserves, check size, ownership and team capacity. A plan that holds together here usually reflects a manager who has thought the strategy through. A plan that does not is not necessarily a bad fund, but it gives you a specific, constructive question to raise, and the answer tells you how the manager thinks.

Related questions

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Sources

These sources describe practitioner approaches to portfolio construction. They do not establish an optimal company count for any specific fund. This page reframes for allocators a guide Colibrí Strategies publishes in Architecture Intelligence.