Self-Funded Search Funds: An Investor’s Guide to Returns, Risks, and Deal Structure

Most investors have never heard of self-funded search. That’s starting to change. A growing number of accredited investors and family offices are putting capital into a niche that doesn’t show up on any institutional radar. They’re backing individual entrepreneurs who find, buy, and run small businesses using mostly SBA debt and a thin slice of outside equity.

The check sizes are small. The deal flow is informal. The early data is good enough to pay attention to.

This guide covers how the model works, what the numbers look like, and how to evaluate whether it belongs in your portfolio.

What is a self-funded search fund?

The search fund model has been around since 1984. Stanford’s Graduate School of Business developed it as a path for MBA graduates to acquire and operate a single company. In the traditional version, an entrepreneur raises $400K to $600K in search capital from investors, spends 18 to 24 months looking for a target, and then goes back to those same investors to raise acquisition equity once a deal is identified.

A self-funded searcher skips the first step entirely. There’s no investor-backed search phase. The entrepreneur pays for the search personally, often while holding down a day job, and only brings in outside capital at the point of acquisition. The deal gets funded with an SBA 7(a) loan covering roughly 80% of the purchase price, a seller note for another 10%, and investor equity making up the remaining 10%.

This changes the economics. Because investors aren’t paying for the search, there’s no dilution from search capital. The self-funded searcher retains far more ownership, commonly 60 to 80%+ of common equity versus 10 to 25% in a traditional structure.¹² Investors get a smaller equity stake, but they’re entering at lower valuations with less capital at risk per deal.

The data is starting to catch up. The 2024 Stanford GSB Search Fund Study, which covers 681 traditional search funds through year-end 2023, now tracks this model as a distinct category.² The 2023 Self-Funded Search Study published by Search Investment Group (SIG) is the first dedicated dataset, with 279 respondents and 109 completed acquisitions.¹ Between these two studies and recent work from Yale SOM, investors now have enough data to make informed decisions rather than going on instinct alone.

The return profile: what investors earn

Self-funded search deals have produced a median investor IRR of 25 to 30%, according to the SIG study. Nearly four in ten investors (39%) reported IRRs exceeding 40%. A third achieved a multiple on invested capital (MOIC) of 3.0x or better.¹

Traditional search funds, with four decades of data, show an aggregate pre-tax IRR of 35.1% and a 4.5x MOIC across all deals tracked by Stanford. Among exited companies only, those figures climb to 42.9% IRR and 6.9x MOIC.² But those numbers are heavily skewed by a handful of outliers. Remove the top five performers and the IRR drops to 32.6%, the MOIC falls to 3.2x, and about 8% of all deals account for the most extreme upside.²

The self-funded model’s real advantage shows up on the downside. The SIG data shows a capital loss rate of just 5%, meaning 95% of deals either returned investor capital or generated a positive return.¹ In traditional search, 31% of acquisitions produced negative outcomes. Roughly two-thirds of those were partial losses, one-third total wipeouts.²

Here’s how it compares to other asset classes:

One note on IRR comparisons across asset classes: PE fund IRRs are typically inflated by capital call timing and subscription credit lines. A headline 23% gross IRR may translate to roughly 11% on a time-weighted basis after fees. Search fund IRRs carry their own distortions. Both the Stanford and SIG figures include operating businesses valued at estimated current worth, not completed exits.

The Yale correction

In October 2025, a Yale SOM study titled “How are Search Fund Investors Really Faring?” offered a useful counterpoint. The researchers analyzed 1,192 observations across 12 investors and 23 funds. None of the investors in their sample replicated the returns implied by Stanford’s index. The Stanford study reports entrepreneur-estimated performance. Actual investor portfolios depend on which deals they accessed and how they sized positions. In the Yale data, 58% of deal-level MOIC observations fell between 0x and 1.99x. Only 2% exceeded 10x.³

How self-funded deals are put together

The typical self-funded acquisition targets a small, profitable business with enterprise value in the $1 to $10 million range. According to the SIG study, the most common EBITDA range was $750K to $2.0 million. 83% of completed deals priced below 5.0x EBITDA, considerably cheaper than the 7.0x median reported in traditional search.¹² Thirty percent of acquired businesses had less than $500K in EBITDA. Median revenue was $2.5 to $5.0 million.¹

The most targeted sectors were business services (34% of acquisitions), manufacturing (17%), and healthcare (14%). About 65% of self-funded searchers described their approach as generalist rather than sector-specific.¹

The capital stack

The standard self-funded structure is “80/10/10.” That’s 80% SBA 7(a) senior debt, 10% seller note, 10% equity. The SIG data broadly confirms this: 58% of deals used SBA 7(a) loans, 45% included a seller note, 21% used conventional bank debt, and 12% involved no debt at all.¹

On seller notes, 61% represented 10 to 20% of the purchase price. Interest rates fell between 4.0% and 7.9% with a five-year term in most cases. Only 9% of seller notes were structured as full standby, though that percentage is likely going up given recent SBA regulatory changes.¹

Investor equity terms

The dominant instrument for outside investors is preferred equity, used in 39% of deals. Investors typically receive a 6 to 8% annual preferred return (65% of deals) plus a minority slice of common equity. Among deals structured with preferred equity, the searcher retained 60 to 80%+ of common in 86% of cases. Only 13% of self-funded deals adopted traditional search fund terms, where investors receive a larger ownership share in exchange for bearing more risk.¹

Check sizes for individual investors generally fall in the $25K to $100K range. Specialized funds deploy $250K to $2M per deal. For a representative $4 million acquisition at 80/10/10, the total equity requirement is roughly $400K, of which the searcher might put in $40K to $80K and investors cover the rest.¹

Who are these searchers?

The average self-funded searcher is 35 years old at search initiation (median 34), a few years older than the typical traditional searcher (median 31). About 63% hold MBAs, high but lower than the roughly 76% rate in traditional search. Professional backgrounds lean toward operations (43%), sales and marketing (27%), and prior entrepreneurship (27%) rather than the investment banking and consulting pipelines that dominate the traditional model. Fifteen percent had military backgrounds. Most (74%) search alone, and only 11% participated in an accelerator program.¹

Searches move quickly. Over half (53%) closed a deal within 12 months. 74% closed within 18 months. Full-time searchers were faster: 58% completed within a year. On average, a successful self-funded searcher submitted 6.9 letters of intent, executed 2.4, and closed one. Fewer than 44% of signed LOIs led to a closed transaction.¹

Where the deals come from

The supply side of self-funded search is driven by a demographic wave that shows no sign of slowing down.

Somewhere between 2.9 million and 10 million baby boomer-owned businesses in the United States need new ownership. The lower number, from Project Equity using U.S. Census data, counts employer businesses with owners aged 55 or older.⁵ These are not marginal enterprises. Project Equity estimates they collectively employ 32.1 million people, pay $1.3 trillion in wages, and generate $6.5 trillion in revenue.⁵

Over half of all U.S. employer-business owners are 55 or older, and roughly 4.1 million boomers are turning 65 each year through 2027, the fastest rate in American history. By 2030, the entire boomer generation of 73 million people will have crossed that threshold.

Most of these owners haven’t prepared for succession. The Exit Planning Institute found that 73% of privately held companies expect to change hands within the next decade, yet 56 to 80% of owners have no formal succession plan.⁶ Only about 30% of small businesses successfully sell when the owner retires.

The IBBA’s Q3 2025 Market Pulse Survey put numbers to the current moment: baby boomers represent nearly 60% of business owners currently bringing companies to market, with retirement cited as the top reason for selling at 38% of transactions.⁷

For investors, the takeaway is straightforward. There is a deep, persistent pool of small profitable businesses whose owners are motivated to sell, often at reasonable multiples, and many of them will accept seller financing because the alternative is closing down.

SBA 7(a) lending: the engine behind the model

The self-funded search model runs on SBA 7(a) debt. The program has been growing rapidly. In fiscal year 2024, total 7(a) volume reached $31.1 to $31.5 billion across 70,200 loans, a 22.5% increase in loan count and the highest volume in over 15 years.⁸

Acquisition loans within the 7(a) program have a strong track record. According to a Yale SOM analysis, the average annual default rate for acquisition-specific 7(a) loans from 2019 to 2023 was 1.22%, actually lower than the 1.64% rate for non-acquisition 7(a) lending.⁹ That said, aggregate charge-offs have been rising (from $0.49 billion in FY2020 to $0.80 billion in FY2023), and FY2024 marked the first year of negative cash flow for the program in over a decade.⁹

Current loan terms

Regulatory shifts to watch

The SBA’s policy environment has gone through three distinct phases in the last two years, and the latest one matters for investors.

In May 2023, the SBA opened 7(a) eligibility to partial changes of ownership for the first time, allowing deal structures beyond 100% buyouts.¹¹ In December 2024, they extended this to multi-step partial acquisitions with asset purchases.

Then came the reversal. On June 1, 2025, the SBA released SOP 50 10 8, a significant tightening of lending standards that directly affects self-funded deals. Collateral is now required on loans above $50K (down from $500K). The “do what you do” lender discretion policy was eliminated. The 7(a) Small Loan maximum was cut from $500K to $350K. And the SBA introduced a formal definition of “search funds” that generated immediate concern in the ETA community.¹²

The most consequential change for investors: seller notes now must be on full standby for the entire SBA loan term, typically 10 years, in order to count toward the 10% equity injection. Previously, sellers could receive regular payments while their note still satisfied the equity requirement. Under the new rules, sellers who provide financing won’t see a dollar until the SBA loan is paid off. This will likely make some sellers less willing to carry a note, which shifts more of the capital burden onto equity investors.¹²

What can go wrong

The numbers are appealing, but there are real reasons for caution. Three risks deserve specific attention.

The data is young and thin. Self-funded search does not have a Stanford-style dataset spanning four decades. The SIG study is a single cross-sectional survey of 279 people. Response bias is an acknowledged limitation. Searchers who acquired successfully may have been more likely to participate. And because 81% of respondents had been operating for fewer than three years at the time of the survey, many of the reported returns are based on estimated current value, not realized exits.¹

The regulatory ground is moving. The June 2025 SBA changes are the most significant policy shift in years, and their full impact on deal volume and structure won’t be clear for another 12 to 18 months. Investors entering self-funded search today should expect the capital stack to look different from what the historical data describes. Full-standby seller notes, higher collateral requirements, and tighter lender scrutiny could all compress the number of viable deals or increase the equity needed per transaction.¹²

Index returns are not portfolio returns. The Yale study made this point clearly. Reported IRR and MOIC figures from Stanford and SIG are aggregate benchmarks, not what any single investor actually earned. Portfolio outcomes depend heavily on deal access, position sizing, and the specific operators you back. The 5% capital loss rate in self-funded search is encouraging, but it is a dataset-level statistic. Your personal results will depend on the quality of your deal selection.³

How to start investing in self-funded search

If the model makes sense to you, the practical challenge is access. Self-funded deals are private, move quickly, and rarely get marketed broadly. Most searchers raise equity from their personal network in the weeks leading up to close. Breaking into deal flow requires either relationships or a platform that aggregates it for you.

There are three realistic paths in.

Most active investors in this space combine all three channels. A platform like CapitalPad gives you consistent, vetted deal flow. Events give you direct operator relationships. Online communities keep you current on how the market is evolving.

Sources & references

¹ Search Investment Group, “2023 Self-Funded Search Study: Selected Observations.” 279 respondents surveyed August–October 2022. Source

² Stanford GSB, “2024 Search Fund Study: Selected Observations,” Peter Kelly & Sara Heston (June 28, 2024). Case E-870. Source

³ Yale School of Management, “How are Search Fund Investors Really Faring?” (October 27, 2025). Source

⁴ Moonfare, “Is Private Equity Still Outperforming Public Markets?” Cites Cambridge Associates U.S. PE Index. Source

⁵ Project Equity, “2.3 Million Small Businesses Nationwide Owned by Aging Boomers Preparing to Retire.” Source

⁶ Teamshares, “Succession Planning Statistics in 2025.” Source; Project Equity, “20 Key Business Owner Statistics on Exits & Succession.” Source

⁷ IBBA & M&A Source, “Market Pulse Q3 2025 Survey Results.” Source

⁸ AmPac Business Capital, “SBA 7a Lending 2025: Record Volumes and Small-Business Trends.” Source

⁹ Yale School of Management, “Exploring and Understanding the U.S. Small Business Administration 7(a) Loan Program” (February 5, 2025). Source

¹⁰ Live Oak Bank, “SBA 7(a) Loans for Business Acquisitions Explained.” Source

¹¹ First Bank, “Changes to SBA 7(a) Program for Business Acquisitions.” Source

¹² Phillips Lytle LLP, “The SBA Reverts Back to Stricter Lending Standards.” Source

Last Updated on February 16, 2026 by Nick