How Search Funds Work

A young buyer in a suit stands in the front office of a small family-owned industrial supply company as the retiring founder watches from across the room.

A search fund is a two-stage vehicle. In stage one, a small group of investors pays an individual to spend roughly two years hunting for a privately held company to buy. In stage two, those same investors get the first right to fund the purchase, and the person who did the hunting becomes the CEO. That is the whole model. Everything else is plumbing.

The plumbing is where the money is decided, though, and most explanations skip it. This one does not. Below is the mechanical anatomy: how search capital is raised and what it buys, how it converts into ownership at closing, how the searcher’s equity vests in three separate tranches, what the capital stack looks like on the day the deal closes, what the returns actually are once you strip out the outliers, and what happens to the roughly half of searchers who never buy anything at all.

Search fund: an investment vehicle through which an entrepreneur, usually with little or no capital of their own, raises money from a small group of investors to fund a full-time search for a privately held company to acquire, operate, and eventually sell. The same investors typically fund the acquisition itself and hold preferred equity, while the searcher earns common equity that vests over time and against performance hurdles.

Also known as: entrepreneurship through acquisition (ETA), traditional search, funded search.

Canonical data source: the Stanford Graduate School of Business Search Fund Study, published every two years since the 1980s. The 2026 edition covers 862 traditional search funds formed in the United States and Canada, with data through December 31, 2025.

The four stages, in order

The model runs on a fixed sequence. Each stage has its own capital, its own risk, and its own failure mode.

StageTypical durationWho funds itWhat can go wrong
1. Raise search capital3 to 6 months10 to 15 investorsSearcher cannot fill the round and never starts
2. SearchAbout 20 months (median)Search capitalNo deal closes and the fund winds down
3. Acquire3 to 6 months from letter of intentAcquisition equity plus debtDiligence kills the deal at the one-yard line
4. Operate and exit3 to 6 yearsCompany cash flowBusiness underperforms and equity value is wiped

Sources: Stanford GSB 2026 Search Fund Study for search duration; Stanford GSB Search Fund Primer (2026 edition) for capital structure and holding period.

Stage 1: search capital, and what it actually buys

Search capital is small, and that is the point. The 2026 Stanford study puts the median search capital raise at roughly $550,000, a record high. The Stanford primer describes the working range as $400,000 to $500,000 per searcher.

That money is raised from about 10 to 15 investors. It funds one thing: the searcher’s ability to work full time on finding a company for about two years. Specifically it covers salary, basic benefits, administrative overhead, and deal expenses, which is the line item that quietly eats the budget, since legal and quality-of-earnings work on a deal that dies still gets billed.

Two features of this round are easy to miss and both matter enormously.

The salary is deliberately below market. Stanford’s own primer notes that while searcher pay has risen over the years, it remains lower than what the same person would earn in a conventional post-MBA job. The searcher is accepting a pay cut in exchange for the option to buy equity later.

Investors are not selected for their search-stage check. They are selected for their ability to write the acquisition-stage check. The primer is explicit that investors must have the financial means to participate in the acquisition round, typically another $100,000 to $1 million each. A search fund investor who can fund the search but not the deal is a liability, because the deal round is where the real capital call lands.

The searcher in the most recent cohort is around 32 years old, and roughly 80% hold an MBA. About 61% of the newest cohort took a formal entrepreneurship-through-acquisition course before launching, up from 37% four years earlier. The model has become a taught curriculum rather than a rumor passed between classmates.

Stage 2: the search, and why it is the real filter

Twenty months is the median search duration in the 2026 study. That number has been stable for years. What has not been stable is the probability that those twenty months produce anything.

Bar chart comparing search fund acquisition rates across three groups: 86 percent for the 2007 to 2010 cohort, 58 percent for the all-time average, and 48 percent for the most recent 2021 to 2024 cohort
Half of searchers now finish with nothing. The 58% success rate most articles quote is an all-time blend, not the rate a searcher faces today. Source: Stanford GSB, 2026 Search Fund Study.

Across the full history of the model, 58% of concluded searches ended in an acquisition. For funds launched between 2021 and 2024, that fell to roughly 48%. For the 2007 to 2010 cohort it was 86%. The headline “success rate” that circulates in ETA discussion is an all-time blended average, and it flatters the odds a searcher faces starting today by about ten percentage points.

The search itself is a brutal funnel. Stanford’s primer describes contacting thousands of companies, visiting around 50, submitting letters of intent to roughly 10, and running full diligence on perhaps one to three before a deal closes. Successful searchers in the 2024 to 2025 cohort signed an average of 2.5 letters of intent, with the first one arriving around month seven.

That first LOI is the single most predictive event in the model. Searchers who signed one within six months went on to acquire 74% of the time. Within twelve months, 65%. Against a base rate near 48%, early deal flow is close to destiny.

When deals die, they die for three reasons, and the 2026 study asked searchers to name them:

Reason the deal collapsedShare of respondents citing it
Something found in due diligenceAbout 79%
Valuation gap with the sellerAbout 45%
Lack of investor supportAbout 40%

Note the third one. Roughly two in five failed deals died because the searcher’s own investors declined to fund them. The investor base is not passive capital; it is a standing veto.

Two structural variables also move the odds. Partnered searches (two searchers) acquired at 58% in the 2021 to 2024 window against 43% for solo searchers. Searchers with at least two years of post-graduate work experience acquired at 55%, against 40% for those with a year or less.

Stage 3: what gets bought, and how it is paid for

The target profile is narrow by design. Stanford’s primer sets the screen at $10 million to $30 million in revenue, EBITDA above $1.5 million (with $1.5 million to $5 million as the sweet spot), EBITDA margins above 15%, return on tangible capital above 20%, recurring revenue, low customer concentration, and a fragmented, growing, operationally simple industry. Turnarounds are explicitly out of scope. The model is not built to fix broken companies; it is built to inherit boring ones that work.

Prices have moved a long way.

Bar chart of median search fund purchase prices rising across three cohorts: 6.5 million dollars in 2008 to 2009, 13.5 million all-time at 6.3 times EBITDA, and 16.0 million in 2024 to 2025 at 6.2 times EBITDA

The 2024 to 2025 cohort paid a median of $16.0 million in enterprise value at 6.2x EBITDA, on median EBITDA of $2.5 million. The all-time median is $13.5 million at 6.3x. The 2008 to 2009 cohort paid $6.5 million.

Read those two rows together and the interesting fact appears: the multiple barely moved. Search funds are not paying dramatically more per dollar of earnings than they did fifteen years ago. They are buying substantially larger companies. That is a different problem from multiple inflation, and it has a specific consequence, which is that the equity check required at closing has grown with the deal size while the search budget has not.

The capital stack at closing

Acquisition capital in a typical deal runs $5 million to $10 million of equity, layered with debt. The stack usually looks like this:

LayerTypical sourcePosition
Senior debtBank, SBA lender, or private creditPaid first, secured
Seller financingThe retiring ownerSubordinated, often with an interest coupon
Investor preferred equityThe search fund investor groupRepaid with a preferred return before common
Employee option poolCarved out at closingRoughly 5% of equity
Searcher common equityThe searcherLast in line, first to be wiped

Investors typically hold participating preferred equity, which means they get their money back with an agreed return before common equity sees anything, and then also share in the upside alongside common. Two variants dominate. Non-redeemable preferred carries a lower coupon, roughly 6% to 8%, and accrues until exit. Redeemable preferred carries a much higher coupon, roughly 15% to 17%, but the company can buy the shares back early and stop the meter.

The step-up: how search capital converts

This is the mechanism that pays search-stage investors for the risk of funding a search that might produce nothing.

When an acquisition closes, the money investors put into the search phase converts into equity in the acquired company, but it converts at a premium to what it originally cost. The Stanford primer describes the customary step-up as roughly 150% of the original search investment. A $50,000 search unit becomes $75,000 of acquisition-stage equity value.

Search investors also generally get the right, though not the obligation, to fund their pro rata share of the acquisition round. That right is the entire commercial logic of writing a search-stage check. The search capital is not really the investment. It is the option premium paid for a look at the deal.

The searcher’s equity: 25%, in three separate pieces

Here is where most explainers state the number and stop. The number is that a solo searcher typically earns up to 25% of common equity, and a two-person partnership up to 30% combined.

That figure is close to meaningless without the vesting structure, because the equity arrives in three roughly equal tranches with completely different risk profiles.

TrancheRoughlyVests whenWhat it is really compensating
1. Acquisition trancheOne thirdAt closingFinding and closing the deal
2. Time trancheOne thirdRatably over about four years of continued employmentStaying
3. Performance trancheOne thirdAs investor IRR hurdles are hitActually producing returns

The performance tranche is the one that decides outcomes. Stanford’s primer places the customary hurdle schedule as beginning to vest once investors earn a 20% net IRR and topping out around a 35% net IRR. Below 20% net IRR to investors, that third of the searcher’s equity simply never exists.

Stack that against the preferred structure and the arithmetic becomes clear. The searcher holds the most junior security in the stack, one third of it is contingent on clearing a 20% net IRR after preferred returns are paid, and another third requires staying in the CEO seat for four years of a business they may have discovered they dislike. If the company is sold early, acceleration of unvested equity is negotiable, often keyed to a multiple-on-invested-capital threshold rather than to time served.

What the returns actually look like

The headline is genuinely strong. As of December 31, 2025, the aggregate search fund asset class shows a 33.9% IRR on a 4.75x return on investment. Funds that have fully exited show 39.3% IRR and 5.98x. Stanford added a public market equivalent this cycle: 2.88x for the whole pool, 3.59x for exited funds. On that basis the asset class has outperformed the S&P 500.

Then you look at the distribution.

Bar chart showing aggregate search fund return on investment falling as outliers are removed: 4.75 times for all funds, 2.80 times excluding funds that returned 10 times or more, and 2.10 times excluding the top 10 percent of funds

Strip out the funds that returned 10x or better and the aggregate falls from 4.75x to 2.8x, with IRR dropping from 33.9% to 27%. Strip out the top decile and it falls to 2.1x at a 20% IRR. Roughly a quarter of acquired companies show a loss.

A 2.1x over a multi-year hold is a decent private investment. It is not the number that gets quoted at ETA conferences. Search fund returns are a power-law asset class wearing an average’s clothing, and any prospective searcher or investor reading the 4.75x as a central expectation is reading the wrong statistic.

The distribution is sharper still for the searcher personally.

Horizontal stacked bar showing search fund CEO equity outcomes at exit: 22 percent earned nothing, 56 percent fell in between, and 22 percent earned 10 million dollars or more

Among search fund CEOs reaching an exit, about 22% realized $10 million or more of equity value. About the same share, 22%, realized nothing at all. The middle band is the residual. This is not a distribution with a meaningful average.

The consolation is that the job pays while it runs. Median CEO salary in the first year after acquisition is about $256,000, rising to about $325,000 for CEOs with five or more years in the seat. For a 32-year-old, that is a real income even in the scenario where the equity ends up worthless.

What happens when the search fails

This is the part of the model that gets the least attention and represents roughly half of all outcomes for recent cohorts.

When a search fund winds down without an acquisition, the search capital is gone. Investors lose it. There is no clawback, no partial return, no asset to liquidate. The searcher has spent about two years earning below-market pay and ends with no equity.

Two things soften that, and it is worth being precise about what they are and are not.

First, the losses are small in absolute terms and by design. A $550,000 search capital loss spread across 10 to 15 investors is a few tens of thousands of dollars each. Stanford’s primer frames this bluntly: losing the search capital is small relative to the capital that would be lost if a searcher forced through a bad acquisition rather than admit defeat. The wind-down is not a bug in the model. It is the model’s stop-loss, and the discipline to trigger it is a feature investors actively price.

Second, the career damage is limited. Stanford’s primer observes that most searchers who close without a deal take jobs broadly similar to what they would have pursued straight out of business school, now carrying two to three years of deal experience. Investors who believe a searcher ran a disciplined process often help place them. The searcher loses two years of compounding salary and the option value of the equity, not their career.

What they do not get is a second free swing. Raising a second search fund after a failed search is possible but materially harder.

Search funds versus the alternatives

The traditional search fund is one of several routes to buying a small company, and it is the one that trades ownership for de-risking.

ModelWho funds the searchSearcher equitySearcher’s cash riskControl
Traditional search fund10 to 15 investors, roughly $550KUp to 25% (30% partnered), vesting in tranchesLow: salary is fundedLow: board and investor consent rights
Self-funded searchThe searcherOften 60% to 100%High: no salary during searchHigh
Independent sponsorNobody: deal-by-dealNegotiated per deal, often carried interestHighVaries by deal
Long duration enterprise (LDE)A larger investor groupVariesLowLow, but no exit clock

The long duration enterprise is the newest branch and worth flagging because it changes the model’s defining constraint. Stanford now tracks 67 LDEs, 63% of which launched in 2024 or later. Median capital raised is around $20 million from about 17 investors. LDEs are structured to hold acquired companies indefinitely rather than sell within three to six years. Of LDEs formed by 2023, 96% acquired at least one company. That acquisition rate should be read with care, since the vehicle type is young and the cohorts are small, but it is a striking contrast to the 48% traditional-search figure.

How the US model compares internationally

The search fund model has been exported widely, and the returns have not travelled with it.

IESE Business School publishes the counterpart study for search funds formed outside the United States and Canada. Its 2024 edition tracked 320 international search funds across 40 countries, with data through December 31, 2023.

MetricUS and CanadaInternational
Aggregate ROI4.5x (as of the 2024 study)2.0x
Aggregate IRR35.1% (as of the 2024 study)18.1%
Median acquisition price$12.8M$11.7M
Median EV/EBITDA multiple6.3x5.7x
Median search capitalAround $500K$456K
Median search durationAbout 20 months21 months

Sources: Stanford GSB and IESE, as compiled in IESE’s International Search Funds 2024 study.

The mechanics travel almost perfectly. Search capital, duration, deal size, and entry multiples are close to identical. The returns are less than half. IESE’s own explanation is timing: 62% of all international search fund acquisitions have been made since 2020, so most of the international portfolio has not had time to appreciate or exit. That is a reasonable explanation and it is also an untested one, which is exactly why the US figures are the ones to anchor on if your search will be run in the US.

Frequently asked questions

How much money does a searcher need of their own?

In a traditional search fund, close to none for the search itself. The search capital funds the searcher’s salary. Searchers are generally expected to invest something in the acquisition round alongside investors, but the defining feature of the traditional model is that it does not require personal wealth to start.

How long does the whole cycle take?

Roughly two years of search (20 months at the median), three to six months from letter of intent to closing, then three to six years of operating before a liquidity event. Call it five to nine years end to end.

What percentage of search funds succeed?

Depends on the definition and the cohort. For funds launched between 2021 and 2024, about 48% of concluded searches ended in an acquisition. Of those that acquire, roughly a quarter show a loss. Combining the two, a searcher starting today has meaningfully less than a coin-flip chance of reaching a profitable exit.

Do search fund investors get their money back before the searcher?

Yes. Investors hold participating preferred equity, which is repaid with an accrued preferred return (roughly 6% to 8% for non-redeemable structures) before the searcher’s common equity has any value.

What is a step-up in a search fund?

The conversion of search-phase capital into acquisition-stage equity at a premium, customarily around 150% of the original search investment. It compensates search investors for the risk that the search produces nothing.

Can two people run one search fund?

Yes, and the data favors it. Partnered searches in the 2021 to 2024 window acquired at 58% against 43% for solo searchers, at the cost of splitting a combined equity stake of roughly 30% rather than holding 25% alone.

What happens to the searcher if no acquisition is made?

The fund is wound down, investors lose the search capital, and the searcher typically returns to a conventional role with two to three years of transaction experience. Investors often assist with placement if they believe the process was run with discipline.

Is a search fund the same as a private equity fund?

No. A private equity fund raises a blind pool to buy many companies and charges management fees and carried interest. A search fund funds one person to find one company, which that person then runs as CEO. The searcher is an operator with equity, not a fund manager.

The Business Model Analyst Take

The search fund is one of the cleanest examples in finance of a business model built to sell an option rather than an asset.

Look at what each side is actually buying. The investor is not buying a search. A $50,000 search unit buys the right of first look at a deal that may never exist, plus a 1.5x step-up if it does. That is an option contract with a very small premium and an enormous payoff distribution, which is why the aggregate 4.75x and the 22% zero-outcome rate can both be true and neither is a contradiction. The investor is running a portfolio strategy, and it only works held as a portfolio.

The searcher is buying something different: a funded two-year window to convert career capital into ownership, priced at a below-market salary. That is a rational trade for a 32-year-old with an MBA and no capital. It is a far worse trade for someone with a high current income, because the opportunity cost of the search-phase pay cut is the largest cost in the whole model and it does not appear in any of the return statistics.

The two sides of that trade are drifting apart, though, and that is the thing worth watching. Acquisition rates have fallen from 86% to 48% while search capital has climbed to a record $550,000 and deal sizes have grown to $16 million. Investors adjust to a lower hit rate by holding more search units, which is easy. Searchers cannot diversify across searches. They get one shot, and the odds of that shot converting have fallen by nearly half within one generation of the model. The asset class is getting safer for capital and riskier for labor at the same time, which is a familiar pattern in any market where the supply of willing operators grows faster than the supply of acquirable companies.

Anyone evaluating this path should treat the 58% acquisition rate and the 4.75x return as historical artifacts rather than forecasts. The relevant numbers are 48% and 2.1x. Both are still respectable. Neither is the pitch.

For the market-level view of why capital keeps flowing into this model, and what searchers are ultimately selling into, see our companion piece on the ETA multiple arbitrage between founder-owned businesses and private equity buyers.

Sources

UNLOCK THIS FREE DOWNLOAD

DOWNLOAD NOW

Fill Your E-mail to Receive this Download Directly in Your Inbox.

RECEIVE OUR UPDATES

The Biz Model Club

Get daily, no-fluff insights on the latest business models, startup strategies, and trends delivered straight to your inbox.