What the Stanford Search Fund Study actually tells you

The Stanford Search Fund Study is the closest thing the search fund world has to a benchmark. It tracks every U.S. and Canadian search fund the program is aware of, going back to the 1980s, and publishes aggregate performance every two years. Read it before you raise a search fund, before you commit capital to one as an investor, and before you assume the median outcome is the expected outcome.

The headline numbers look attractive. Aggregate IRR for funded searches that resulted in an acquisition has historically clustered around 30 to 35 percent, with a multiple on invested capital in the 5x to 6x range. Those numbers fund a lot of MBA decisions.

The honest read is that the distribution is brutally bimodal. The top quartile of searches return 80 percent IRR and above. The bottom quartile lose money. The middle is unremarkable. Aggregate returns are pulled up by a handful of outlier outcomes that look more like venture exits than small-business operating returns. If you assume you are the median searcher, you are assuming a return profile that does not actually exist in the data.

The variance is driven less by deal selection than by what happens after close. Searchers who acquire profitable, growing businesses still fail when they cannot run them. The most common failure mode is taking a stable business and breaking it in the first 12 months through poorly sequenced changes, premature firing of key employees, or financial overreach. Operating discipline in the first 100 days matters more than the price you paid.

Other patterns worth absorbing:

- Search durations have been getting longer. Median search-to-close is now well over 24 months, up from 18 to 20 historically. The market is more competitive, valuations are higher, and broker dynamics have shifted. - Search funds in services and B2B businesses outperform those in retail, restaurants, and consumer-facing categories. The data has been consistent on this for two decades. - Operating-partner involvement in the first 12 months correlates strongly with outcome quartile. Searchers who lean on their investors as operating advisors do measurably better than those who treat them as passive capital.

If you take one thing from the study, take this: the question is not whether the search fund model works. It does, in aggregate. The question is whether you have the temperament and operating instincts to land in the top half of a bimodal distribution, because the bottom half is unforgiving.