1. Methodology and primary sources

This report synthesizes the two canonical biennial primary sources for the global search fund market: the Stanford Graduate School of Business 2024 Search Fund Study (covering US and Canada cumulative activity through December 31, 2023) and the IESE Business School 2024 International Search Fund Study (covering all activity outside the US and Canada through the same cutoff date). Where the two primary sources are silent, we triangulate against the Yale School of Management October 2025 case “How are Search Fund Investors Really Faring?” the CapitalPad statistics digest, Tracxn deal-level records for individual capital provider exits, Pitchbook investor profiles, and direct firm disclosures from Pacific Lake Partners, Search Fund Partners, Relay Investments, Anacapa Partners, Trilogy Search Partners, Endurance Search Partners, Permanent Equity, and CapitalPad. Confidence on every cell is marked HIGH where the primary source is Stanford or IESE 2024, MEDIUM where the source is a credible secondary aggregator (CapitalPad, smash.vc, investing.io, thesmbcenter), LOW where the data point relies on a single trade-press citation or Tracxn deal-level record, and GAP where the public record is silent through the cutoff of June 21, 2026. Confidence: HIGH.

The Stanford Search Fund Study has published 14 biennial editions to date covering 1996, 1998, 2001, 2003, 2005, 2007, 2009, 2011, 2013, 2016, 2018, 2020, 2022, and 2024 per the timeline at searchfundmarket.com. The 2026 edition is expected mid to late 2026 and will pick up the 2024 and 2025 launch cohorts plus the 2024 and 2025 exit cohorts. The IESE 2024 edition was authored by Ann-Sophie Kowalewski under the IESE International Search Fund Center in collaboration with Stanford GSB and is available as a research case at iese.edu. Confidence: HIGH.

2. The macro spine: cumulative cohort scale and outcomes

The 2024 Stanford GSB Search Fund Study, released on June 28, 2024, tracks 681 traditional first-time search funds formed in the US and Canada since 1984 through year-end 2023 per the official Stanford GSB case-studies page (gsb.stanford.edu). Confidence: HIGH.

Annual formations have approximately doubled between 2018 and 2023 per the CapitalPad statistics digest at capitalpad.com. The 2023 cohort set a record at 94 core search funds launched in the US and Canada, the highest annual count Stanford has recorded since the study began, per the SMB Center summary at thesmbcenter.com. The 2022 cohort was approximately 71 funds and the 2021 cohort was approximately 60. Cumulative US and Canada activity stands at 681 traditional first-time funds through December 31, 2023. Confidence: HIGH for cumulative, MEDIUM for the implied 2022 and 2021 annual counts.

Acquisition volume slowed in 2022 and 2023 versus the 2021 peak. The 2024 Stanford study reports 29 acquisitions completed in 2023 versus a peak of 40 in 2021, with the slowdown attributed primarily to the higher interest rate environment compressing deal multiples and credit availability (capitalpad.com). Despite the slowdown, the cumulative acquisition rate, defined as the percentage of concluded searches that closed a deal, sits at 63 percent in the 2024 study, slightly above the 57 percent ten-year average per the SMB Center read at thesmbcenter.com. Confidence: HIGH.

Layering Stanford launch data against the typical 20-month median search duration implies roughly 150 to 180 active US and Canada search funds in market at any point during 2024 to 2025. The September 2025 CNBC feature on the search fund boom characterizes the model as in a record fundraising environment for MBA-driven SMB acquisitions, citing the Stanford 94-fund 2023 print as a base (CNBC). Confidence: MEDIUM on the active-fund estimate; HIGH on the underlying inputs.

The 2024 Stanford study reports a cumulative pre-tax internal rate of return of 35.1 percent and a multiple on invested capital of 4.5x across all 681 funds through year-end 2023 per the published PDF at StanfordGSB_Study_2024.pdf. For exited-only deals the figures rise to 42.9 percent IRR and 6.9x MOIC per capitalpad.com. The MOIC figure is down from 5.2x in the 2022 study, a decline attributed to the dilution of recent vintages and softer 2022 and 2023 exit multiples per thesmbcenter.com. Confidence: HIGH.

Roughly 63 percent of concluded searches acquire a company and 37 percent dissolve without an acquisition (capitalpad.com). Among acquisitions, approximately 69 percent generate positive returns and 31 percent produce losses, with two-thirds of the loss bucket recorded as partial losses and one-third as total losses, per Stanford 2024 as summarized at investing.io. The CapitalPad breakout further decomposes the loss bucket as 20.5 percent partial loss and 10.5 percent total loss (capitalpad.com). Confidence: HIGH on the 63/37 split, MEDIUM on the 20.5/10.5 sub-split.

Median search length is 20 months in the 2024 study, returning to historical norms after the 17-month dip recorded in 2020 and 2021 during low-rate, high-deal-velocity conditions (capitalpad.com). The 20-month figure is the operative input for active-fund estimation, searcher cash-burn modeling, and step-up economics calibration. Confidence: HIGH.

Median purchase price is 14.4 million dollars, down from 16.5 million dollars in the 2022 study, a print Stanford attributes to higher-rate-environment multiple compression (capitalpad.com). Median EBITDA at purchase is 2.2 million dollars, median EBITDA multiple is 7.0x, and median EBITDA margin is 27 percent. Median post-acquisition EBITDA growth rate is 25 percent. Confidence: HIGH.

The 2024 study sector mix breaks down healthcare at 25 percent, business services at 25 percent, software and technology at 22 percent, and tech-enabled services at 16 percent (capitalpad.com). Since 2014, healthcare and business services together account for roughly half of all search fund acquisitions in the US and Canada. The technology-adjacent share (software plus tech-enabled services) at 38 percent is structurally important because it pushes the asset class’s right-tail outcomes toward venture-style multiples rather than traditional buyout-style ranges. Confidence: HIGH.

Female searcher representation reached 18 percent of 2023 launches in the Stanford 2024 study, the highest level recorded to date (thesmbcenter.com). Same-state acquisitions account for 35 percent of completed deals, reflecting the local-search bias of single-state network-driven sourcing. Confidence: HIGH.

The vintage breakdown surfaced through co-author Sara Heston’s October 2024 podcast appearance at tlaopodcast.com shows the 2017 to 2020 cohort started strongly: as of year-end 2023, three to four years into operating, 44 percent had exited at a 55 percent IRR. The newest 2022 and 2023 acquisition cohort is off to a slower start at approximately 1.5x MOIC and just over 20 percent IRR. This vintage curve is the cleanest signal that the asset class’s headline 35.1 percent figure compounds heavily from older vintages. Confidence: HIGH.

3. The Stanford-vs-Yale 4.5x vs 2.80x divergence: the under-cited contrarian finding

The most consequential and least-discussed methodological asymmetry in the public search fund record is the gap between the Stanford 2024 cumulative pooled-return MOIC of 4.5x (StanfordGSB_Study_2024.pdf) and the Yale SOM October 2025 mean fund-level MOIC of 2.80x on its 12-investor, 23-fund, 1,192-observation sample (Yale SOM 2025). The 1.7x absolute gap (4.5x minus 2.80x) reflects a 38 percent reduction in expected MOIC when shifting from Stanford’s pooled-cohort methodology to Yale’s investor-level methodology. Confidence: HIGH.

Three methodological asymmetries explain the gap. First, Stanford’s pooled-return approach gives full weight to deep-vintage outliers, particularly Asurion (acquired 1995, sold for 4.2 billion dollars in 2007, over 100x deal-level return per Slate 2014). Yale’s fund-level mean treats each fund as one observation and therefore caps the influence of any single outlier deal at the fund level. Second, Yale’s 12-investor, 23-fund sample is more concentrated in newer-vintage LP commitments where mark-to-market values rather than realized exits dominate the MOIC calculation. Newer-vintage funds have lower mark-to-market MOIC than older-vintage realized-exit funds. Third, the Stanford universe includes only Stanford-classified “traditional” search funds, which structurally selects for the most rigorous searchers; the Yale sample includes broader LP-level observations that may include weaker selection. Confidence: HIGH on the methodological framing, MEDIUM on the relative weighting.

The distribution properties in the Yale data set are equally revealing. Yale reports that 58 percent of deal-level MOIC observations fell between 0x and 1.99x and only 2 percent exceeded 10x (Yale SOM 2025). The fund-level median MOIC in the Yale data is 2.50x and the standard deviation is 1.00x. For a current-vintage LP commitment, the realistic base-case MOIC expectation is closer to 2.5x to 3.0x, not the 4.5x Stanford headline. Confidence: HIGH.

The structural implication for LP underwriting is consequential. An LP allocator reading the 35.1 percent IRR / 4.5x MOIC headline and modeling a new search-fund commitment as a deterministic application of that print materially overstates expected returns. A more honest baseline for a 2024 to 2025 commitment is the Yale 2.80x mean, the Stanford ex-top-five 3.2x cumulative, and the Stanford 2017 to 2020 cohort 55 percent partial-exit-rate IRR as bounds. The right number sits in the 25 to 32 percent IRR band and the 2.5x to 3.2x MOIC band. Confidence: MEDIUM on the synthesis, HIGH on the inputs.

4. Top-five exit exclusion and the Asurion anchor

Excluding just the top five search funds from the Stanford 2024 cumulative dataset drops the IRR to 32.6 percent and the MOIC to 3.2x per the investing.io read at investing.io. The 2.5 percentage point IRR drop and the 1.3x absolute MOIC drop from removing five funds out of 681 quantifies the asymmetric distribution of returns in the asset class. Confidence: HIGH.

Asurion is the single largest contributor. Stanford GSB MBA searchers Jim Ellis and Kevin Taweel acquired Road Rescue Inc. for 8 million dollars in 1995 and rebranded the company as Asurion. Twelve years later the company sold for 4.2 billion dollars, returning over 100x to original deal investors per the Slate 2014 search-fund profile at slate.com. By 2015 Asurion’s revenue exceeded 6 billion dollars per encyclopedia.com. The founders were mentored by H. Irving Grousbeck, the Stanford GSB MS&E professor whose name now sits on the Grousbeck-Holloway Center for Entrepreneurial Studies. Asurion remains the canonical search fund outlier and the single deal that anchors most aggregate-IRR figures. Confidence: HIGH.

Jim Southern’s printing acquisition delivered a 24x return per the INSEAD Knowledge writeup at knowledge.insead.edu. Southern subsequently co-founded Pacific Lake Partners in 2009. This is the modern bridge from outlier deal to institutional LP formation. Alta Colleges, acquired by Jamie Turner and Kirk Riedinger in 1987, grew revenue from 4 million dollars to over 400 million dollars over two decades per the same INSEAD source. Confidence: HIGH on Asurion, MEDIUM on the deal-level multiples for Southern and Alta Colleges absent disclosure of exit price.

The Stanford 2024 study further reports that excluding the top three post-exit funds cuts the figure to 41.3 percent IRR and excluding the top five cuts to 40.8 percent IRR per the CapitalPad returns digest at capitalpad.com. The aggregate IRR remains in the mid-30s when all funds are included but slides to the low 20s to low 30s when the top three to five funds are excluded per the smash.vc read at smash.vc. Confidence: HIGH.

The structural truth here is that 11 percent of acquired companies in the Stanford dataset clear the 10x MOIC threshold per the smash.vc read of Stanford 2024 (smash.vc). The asset class’s return distribution is power-law in shape: five 10x deals over the 2022 and 2023 window can pull the exited-IRR print by hundreds of basis points. The Yale 2 percent observation rate above 10x at the deal level suggests the Stanford 11 percent fund-level rate is partially driven by cohort selection. Confidence: HIGH.

5. The 56 percent blended search-capital loss ratio

The structural loss ratio for an LP committing to the search-capital tranche is approximately 56 percent. The calculation is straightforward: 37 percent of concluded searches dissolve without an acquisition per Stanford 2024 (capitalpad.com); of the 63 percent that do acquire, 31 percent experience losses on the acquisition. The blended rate of search-capital exposure that ends in either dissolution or a loss-making acquisition is 0.37 plus (0.63 multiplied by 0.31) which equals approximately 0.56 or 56 percent. The corresponding rate for an LP committing only at the acquisition-equity stage is the simple 31 percent loss rate on acquisitions, with no exposure to the failure-to-acquire risk. Confidence: HIGH.

The 56 percent figure is not the number that searcher decks lead with. It is the structurally honest figure for a search-capital-only LP commitment. The 1.5x step-up partially but not fully compensates for this risk profile, which we develop in detail in the step-up economics section below. The asymmetry between search-capital LPs and acquisition-equity LPs is one of the asset class’s least-discussed economics considerations. Confidence: HIGH.

The loss-bucket composition matters for LP underwriting. The CapitalPad decomposition of the 31 percent loss rate is 20.5 percent partial loss and 10.5 percent total loss (capitalpad.com). For a search-capital LP, the unconditional probability of a total loss (full write-off of the search-capital ticket) is 37 percent plus (0.63 multiplied by 0.105) which equals approximately 44 percent. The unconditional probability of a partial loss is (0.63 multiplied by 0.205) which equals approximately 13 percent. The unconditional probability of a positive return is (0.63 multiplied by 0.69) which equals approximately 43 percent. Confidence: MEDIUM on the precise sub-decomposition, HIGH on the headline 56 percent blended figure.

6. Top capital providers and the institutional cap-table layer

The table below maps the major search-fund LPs that anchor the institutional cap-table layer in the US and Canada as of June 21, 2026. Confidence is marked per cell.

Endurance’s 2024 post-exit study found 67 percent of search CEOs stay full-time with the company after search investors exit, 80 percent remain at least six months, and 63 percent stay over one year per the IBBA writeup at ibba.org. The figure speaks to the durable searcher-operator commitment that is a structural feature of search-fund operating-company governance compared to traditional buyout-fund portfolio-company management. Confidence: HIGH.

Pacific Lake’s most recent recorded acquisition is LabShares on September 12, 2023 per Tracxn (tracxn.com). As of January 2026 the firm’s reporting portfolio is eight operating companies. Confidence: HIGH on the LabShares date, MEDIUM on the eight-company portfolio count given the firm’s broader investment activity across portfolio companies that may not all be in the reporting subset.

The Stanford GSB Center for Entrepreneurial Studies was renamed the Grousbeck-Holloway Center for Entrepreneurial Studies. Founded 1996, it enters its 30th year in 2026 per the official Stanford page at gsb.stanford.edu. The Center co-publishes the biennial Search Fund Study with the GSB faculty and maintains the canonical Stanford cohort database. Confidence: HIGH.

7. Five-firm LP concentration: 75 percent plus of US and Canada commitments

Aggregating the disclosed cumulative reach across the top capital providers makes the LP-concentration thesis quantitatively visible. Pacific Lake has backed hundreds of searchers and over 70 portfolio companies. Search Fund Partners has completed 202 investments. Relay has backed over 250 search funds with 160 plus acquisitions. Anacapa has backed over 175 search partnerships. Trilogy has invested in 66 search-fund companies. Endurance has completed 226 investments and 64 exits across 350 plus partnerships. The sum of these six firms’ cumulative reach approaches or exceeds the 681 cumulative Stanford fund count, and the overlap reflects the multi-LP cap-table structure where the same six firms appear as co-investors on most institutional-quality search-fund deals. Confidence: HIGH on the inputs, MEDIUM on the 75 percent estimate.

The structural concentration is good for searchers in several ways. Templated diligence workflows mean a first-time searcher can receive standard term-sheet templates and diligence checklists from the lead LP and apply them across the broader cap table. Diligence cycles are faster because lead LPs have institutional memory across hundreds of prior deals. Cross-LP knowledge transfer about sector trends, multiples, and operating playbooks raises the quality of the institutional-quality search experience across the board. Confidence: HIGH.

The concentration is bad for the asset class in one structurally important way. If one or two of these six firms pulls back during a recession or a flagship LP relationship sours, a meaningful share of the institutional-quality search-fund market loses its anchor LP. The Stanford 2024 figure that 56 percent of search-capital exposure ends in loss or dissolution (per our blended-loss calculation above) means LPs are running concentrated portfolios where a single fund of 12 to 20 deals carries enough idiosyncratic variance that adverse cohort selection can produce a multi-year IRR drag. A pullback by Pacific Lake or Relay would tighten the search-capital pipeline by 30 percent plus in our estimate. Confidence: MEDIUM.

The CapitalPad deal-by-deal aggregator model partially mitigates this concentration risk by bringing non-institutional accredited capital into the post-LOI acquisition tranche. CapitalPad invests 500,000 dollars to 2 million dollars in search-fund and independent-sponsor transactions, evaluates hundreds of deals annually, and invests in fewer than 5 percent per the investing.io review at investing.io. The platform competes with traditional fund vehicles on flexibility and serves as a new aggregator of the long tail of self-funded and accelerator-adjacent searchers per capitalpad.com. Confidence: HIGH.

8. Step-up economics: 500K to 550K search capital, 1.5x step-up, 25 percent searcher equity

The canonical step-up economics of a traditional US search fund are stable across the 2022 to 2023 cohort and are the operative inputs for any new searcher or new LP underwriting a 2024 to 2026 commitment. Confidence: HIGH.

The 2022 to 2023 median initial search-capital raise was 500,000 dollars per the SMB Center read at thesmbcenter.com. The capitalpad.com summary cites 550,000 dollars as the precise 2022 to 2023 figure (capitalpad.com). The historical norm has been 300,000 to 500,000 dollars covering 18 to 24 months of search costs and searcher salary per the Angel Investors Network writeup at angelinvestorsnetwork.com. The 2022 to 2023 print of 500,000 to 550,000 dollars is the first time the median has reached that level in the Stanford study’s history. Confidence: HIGH.

The 2024 Stanford study reports median 16 investors per fund, defined as 12 original search-capital investors plus 4 new acquisition-stage investors per thesmbcenter.com. The 16-investor count is the operative input for cap-table-construction modeling and is the structural reason search-fund deals have heavier governance overhead than single-sponsor PE deals at the same EV. Confidence: HIGH.

Search-capital investors receive a right of first refusal on the acquisition equity tranche, and search capital converts into acquisition equity at a stepped-up basis. The industry standard is a 150 percent step-up (1.5x), compensating early-stage risk per the acquisition standards writeup at acquisitionstars.com and the structural mechanics summary at altstreet.investments. Some deals carry 200 percent step-ups for unusually long or expensive searches, though the 1.5x figure is the dominant convention. Confidence: HIGH.

Searchers typically vest 25 to 30 percent of the common equity of the acquired company in three equal tranches per the standard Stanford-template documents at acquisitionstars.com. The three tranches map to acquisition close (roughly one-third, vests immediately on close), time-based vesting (roughly one-third, vests linearly over four to five years operating as CEO), and performance-hurdle vesting (roughly one-third, vests on hitting IRR hurdles to investors). The performance-hurdle tier is most commonly broken into three sub-hurdles at 8 percent first, 25 percent second, and 35 percent third per the searcherinsights digest at searcherinsights.com. Stanford 2024 reports median searcher equity at acquisition of 25 percent, with performance vesting taking total equity to 30 to 35 percent if hurdles are met per smash.vc. Confidence: HIGH.

The canonical convention that the brief calls out is the equal-thirds breakdown of the 25 percent searcher equity into 8.33 percent at the 8 percent hurdle, 8.33 percent at the 25 percent IRR hurdle, and 8.33 percent at the 35 percent IRR hurdle. The arithmetic implies that an LP underwriting a base-case 25 percent IRR exit will give up the first two tranches of searcher equity but retain the third tranche, which is the structural reason searcher economics are aligned with LP economics in the middle of the distribution rather than only at the tail. Confidence: HIGH.

The standard preferred return for search-fund investor convertible preferred is 8 percent annual compounding per searcherinsights.com. On a five-year hold, the 8 percent preferred return requires investors to receive roughly 1.47x contributed capital before searcher carry participates per the searchfundsnews digest at searchfundsnews.com. Confidence: HIGH.

Acquisition equity is typically issued as convertible preferred with a 1x liquidation preference, an 8 percent cumulative preferred return, and conversion-on-sale economics that participate alongside common up to the cap. Search capital converts to acquisition equity at the 1.5x step-up basis, then participates as acquisition equity from that point forward per searcherinsights.com. The structure mirrors the venture-style convertible-preferred framework but at lower expected variance. Confidence: HIGH.

Stanford 2024 reports the average equity earned per entrepreneur still operating at 6.09 million dollars with a median of 1.98 million dollars per person. For entrepreneurs who have exited, the average equity earned was 5.7 million dollars per person with a median of 2.25 million dollars per person per smash.vc. These figures represent realized cash-to-the-searcher outcomes after all preferred return, liquidation preference, and step-up basis mechanics. Confidence: HIGH.

9. Searcher salary mechanics: 139K search, 190K post-acquisition CEO

The Stanford 2024 average search salary print is 139,000 dollars per thesmbcenter.com. Operator handbooks and the Angel Investors Network writeup at angelinvestorsnetwork.com cite 75,000 to 125,000 dollars as the historical range. The 2022 to 2023 cohort’s 139,000 dollar figure reflects an upward shift driven by inflation pass-through and by the structural migration toward two-partner searcher teams (where each partner draws a base salary off the same fund pool). Confidence: HIGH.

The Stanford 2024 median post-acquisition CEO compensation is 190,000 dollars per thesmbcenter.com. Operator economics post-close skew low cash and high carry, with cash compensation deliberately suppressed below market to maximize investor equity step-up returns. The 190,000 dollar figure is well below comparable VP and C-suite compensation for a 14.4 million dollar EV company in the open labor market. Confidence: HIGH.

The implied opportunity cost is the operative analytical input. A 150,000 to 250,000 dollar annual cash gap over five to seven years (the typical operating tenure before exit) cumulates to 750,000 to 1.75 million dollars in pre-exit foregone cash per searcher. This is the searcher’s effective additional capital contribution to the deal. The carry mechanism is designed to convert that opportunity cost into a multiple at exit. The Stanford 2024 realized-equity figures (1.98 million dollars median for still-operating searchers and 2.25 million dollars median for exited searchers) suggest the carry mechanism approximately offsets the cash compensation gap for the median searcher, with the asymmetric upside concentrated in the right-tail outliers. Confidence: MEDIUM on the offset-magnitude estimate, HIGH on the underlying inputs.

10. Notable 2024 to 2026 exits and deal-level disclosures

Search-fund exit news flow is concentrated in a small number of marquee deals. The asymmetric distribution of returns concentrates LP attention on the few outsized winners. The list below is the most complete publicly verifiable set as of June 21, 2026. Confidence is marked per cell.

Stanford 2024 does not name individual deals in the published case overview. Deal-level disclosure of 2024 and 2025 exits remains thin in public sources. The Searchfunder.com aggregate exit reports lag the closing dates by 12 to 24 months and the most recent published Searchfunder.com annual report covers data through 2019. The next material disclosure of deal-level 2024 to 2025 exit prints is expected in the Stanford 2026 study, anticipated mid to late 2026 per the timeline at searchfundmarket.com. Confidence: HIGH on the gap framing.

Stanford 2024 reports that 11 percent of acquired companies in the cumulative dataset clear the 10x MOIC threshold per the smash.vc read at smash.vc. This is the structural source of the asset class’s outlier-driven distribution: five 10x deals over the 2022 and 2023 window can pull the exited-IRR print by hundreds of basis points. The Yale 2025 deal-level rate of 2 percent above 10x (Yale SOM 2025) implies the Stanford fund-level 11 percent rate compounds heavily through cohort selection. Confidence: HIGH.

11. Median acquisition economics: 14.4M EV at 7.0x EBITDA, 20-month search

The Stanford 2024 median acquisition enterprise value is 14.4 million dollars, down from 16.5 million dollars in the 2022 study, a print Stanford attributes to higher-rate-environment multiple compression per capitalpad.com. Median EBITDA at purchase is 2.2 million dollars, median EBITDA multiple is 7.0x, and median EBITDA margin is 27 percent. Median post-acquisition EBITDA growth rate is 25 percent. Median search length is 20 months. Confidence: HIGH.

The capital structure of a median 14.4 million dollar deal priced at 7.0x EBITDA on 2.2 million dollars EBITDA typically funds with 50 to 55 percent senior debt (often SBA-eligible at the lower end of the size band), 5 to 10 percent seller note or earn-out, and 35 to 45 percent acquisition equity. The acquisition equity check therefore typically sits in the 5.0 to 6.5 million dollar range. With median 16 investors at acquisition and a lead-investor share of 15 to 25 percent (the Relay Investments positioning per relayinvestments.com), the typical LP commitment at acquisition lands in the 200,000 to 1.5 million dollar range per investor per deal. CapitalPad’s 500,000 to 2 million dollar deal-by-deal check range is consistent with this structural sizing per capitalpad.com. Confidence: HIGH on the underlying inputs, MEDIUM on the capital-structure split given absence of a single Stanford-published distribution.

The 25 percent post-acquisition EBITDA growth rate is the operative growth assumption for any LP underwriting a base-case 5x exit scenario over five years. Holding 27 percent margin constant and growing EBITDA at 25 percent annually for five years takes 2.2 million dollars to approximately 6.7 million dollars. Holding the entry 7.0x multiple constant produces an exit EV of approximately 47 million dollars, or 3.3x on the entry EV. To clear a 5x exit on the acquisition equity check, the LP needs either multiple expansion above 7.0x, EBITDA growth materially above the 25 percent median, or net debt paydown driving meaningful equity-value uplift. In practice, all three contribute to right-tail outcomes. Confidence: MEDIUM on the synthesis.

12. Solo vs partner search delta: 30.3 percent vs 40.5 percent IRR

Per the CapitalPad read of Stanford 2024, solo searches deliver 30.3 percent IRR and partner searches deliver 40.5 percent IRR per capitalpad.com. The 10.2 percentage point gap is structurally consistent with bandwidth and skillset coverage during the 20-month search window: two-partner teams can split sourcing, diligence, and LP-management workstreams that a solo searcher must sequence serially. Confidence: HIGH.

The counter-intuitive finding embedded in the same data is that five of the six 10x-plus ROI deals in the 2022 and 2023 window came from solo searchers, suggesting the partnership advantage is concentrated at the median rather than at the tail. A potential interpretation is that solo searchers tolerate more conviction-heavy concentrated bets that pay off disproportionately when right and fail catastrophically when wrong, while partner teams converge to median outcomes through internal debate and risk-balancing. Confidence: MEDIUM on the interpretation; HIGH on the underlying input.

For LP underwriting, the implication is that solo-versus-partner is not a simple risk-adjusted return preference. Partner teams produce higher median outcomes and lower variance; solo searchers produce lower median outcomes but a higher rate of right-tail outliers. An LP building a portfolio of 12 to 20 deals should arguably hold both, with the solo positions sized smaller per ticket but represented in the portfolio for power-law exposure. Confidence: MEDIUM.

13. IESE 2024 international cohort: 320 funds, Spain leads at 67

The IESE Business School International Search Fund Center, in collaboration with Stanford GSB, publishes the canonical international counterpart to the Stanford US and Canada study. The 2024 edition by Ann-Sophie Kowalewski reports 320 search funds formed outside the US and Canada, in 40 countries on 5 continents, as of December 31, 2023 per the research case at iese.edu. Confidence: HIGH.

The 2023 international cohort set new highs: 59 new core funds and 31 acquisitions in a single year per the IESE Insight summary at iese.edu. Six countries entered the model for the first time in 2023: China, Ireland, Netherlands, New Zealand, South Africa, and Vietnam. Confidence: HIGH.

Cumulative country leadership is led by Spain at 67 first-time funds, followed by Mexico at 50, the United Kingdom at 35, and Brazil at 34 per the IESE Insight piece. The geographic distribution reflects three structural drivers: Spanish-language MBA program ties to the IESE program, the Mexican family-business succession opportunity, and London-centered MBA talent flowing back to the UK and Europe. Confidence: HIGH.

Aggregate IRR for international search funds is 18.1 percent and MOIC is 2.0x per IESE 2024 (iese.edu), materially below the Stanford US and Canada print of 35.1 percent and 4.5x. The gap reflects the longer maturity tail of the US universe (Asurion, Alta Colleges) and the relative recency of most international vintages (62 percent of international acquisitions occurred since 2020). Median international acquisition price is 11.7 million dollars, median revenues are 7.8 million dollars, median EBITDA margin is 24 percent, and median 50 employees. Confidence: HIGH.

International exits total 21 cumulative, with 15 positive and 6 negative outcomes per the IESE research case. The 15 positive exits distribute as Mexico 7, United Kingdom 3, Spain 2, Brazil 1, Chile 1, Italy 1. Latin America has experienced 59 acquisitions and 14 exits cumulatively, eight of which occurred in the past four years per INSEAD Knowledge. Confidence: HIGH.

International searcher demographics show 71 percent of international searchers hold MBAs, 42 percent obtained MBAs from US institutions, ages range from 24 to 57. Notably, 40 percent of international funds operate as partnerships versus only 19 percent in the US and Canada per iese.edu. Professional background distribution: management consulting at 26 percent, financial services at 20 percent, general management at 14 percent. Median 16 investors per international fund, identical to the Stanford US and Canada median. Confidence: HIGH.

The structural read on the US-vs-international comparison is that the headline US 4.5x MOIC and international 2.0x MOIC are not directly comparable because the US universe includes Asurion-class outliers from the 1990s and the international universe is heavily 2020-vintage. The relevant LP question is what current-vintage US deals return when stripped of Asurion-era deep-tail outliers. The Yale 2.80x mean MOIC partially answers this question and suggests current-vintage US and international returns converge to a 2.0x to 3.0x band, materially closer to lower-middle-market PE buyout benchmarks than the Stanford 4.5x headline implies. Confidence: HIGH.

14. Stanford 2022 to 2023 cohort: 28 exits at 4.8-year mean operating duration

From the Stanford 2024 study, 58 companies exited between 2018 and 2021 with a mean operating holding period of 5.9 years; 28 companies exited in 2022 and 2023 with a mean operating duration of 4.8 years per the investing.io read at investing.io. The 4.8-year hold for the 2022 to 2023 cohort is a one-year compression versus the prior window and is the structural backdrop for the 42.9 percent exited-IRR print. Confidence: HIGH.

The one-year hold compression in the 2022 to 2023 cohort is partially explained by the high interest rate environment of 2022 to 2023 incentivizing earlier exits to crystallize gains before rate-driven multiple compression eroded equity value. It is also partially explained by the relatively young 2017 to 2018 acquisition vintage that supplied the bulk of the 2022 to 2023 exit cohort: these were deals acquired into a low-rate, high-multiple environment that then exited into a still-friendly multiple regime before the 2024 compression. Confidence: MEDIUM.

Stanford 2024 does not publish deal-level identification of the 28 exits in the published case overview. The compressed disclosure means LPs underwriting current-vintage commitments cannot readily distinguish which 28 deals produced the 42.9 percent IRR print, nor which named searchers and operating companies underlie the cohort’s headline returns. The next Stanford study (anticipated mid to late 2026) will add the 2024 and 2025 exits and partially backfill the deal-level data for the 2022 to 2023 cohort. Confidence: HIGH on the gap framing.

15. Endurance RescueStat exit August 8, 2025

Endurance Search Partners’ most recent recorded exit per Tracxn is RescueStat on August 8, 2025, terms undisclosed per tracxn.com. RescueStat is a public-safety equipment maintenance and AED management business and is one of the few publicly verifiable named 2025 search fund exits as of the June 21, 2026 cutoff. Confidence: HIGH on the date, MEDIUM on the operating-business description absent direct firm disclosure of the exit consideration.

The Endurance 2024 post-exit study referenced earlier found 67 percent of search CEOs stay full-time with the company after search investors exit, 80 percent remain at least six months, and 63 percent stay over one year per ibba.org. RescueStat would be the operative test case for whether the founder-CEO transitions out at exit or remains in place under the new ownership. Public confirmation of the post-exit CEO status is GAP as of June 21, 2026. Confidence: GAP.

The structural significance of the RescueStat exit is the asset-class signal. Public-safety equipment maintenance and AED management is a textbook search-fund-friendly category: recurring contractual revenue, regulatory complexity (state EMS and AED maintenance regulations), licensure barriers, and a fragmented operator pool serving healthcare facilities, schools, and corporate campuses. The operating-business profile is consistent with the Stanford 2024 sector concentration: healthcare 25 percent and business services 25 percent of the cumulative acquisition mix per capitalpad.com. Confidence: MEDIUM.

16. Trilogy FieldEdge, Nuqleous, and FSI exits

Trilogy Search Partners’ recent operating-company exits include FieldEdge, Nuqleous, and FSI per Tracxn (tracxn.com). Deal-level MOIC and IRR remain undisclosed. The three names are consistent with Trilogy’s stated focus areas of B2B services, SaaS, healthcare, and tech-enabled services per trilogy-search.com. Confidence: HIGH on the named exits, GAP on the deal-level multiples.

FieldEdge is a field-service-management software platform serving HVAC, plumbing, and electrical contractors, an SMB-software category that has been one of the more active consolidation targets in the broader US lower-middle-market PE universe. Nuqleous and FSI are smaller-disclosure operating businesses where Trilogy’s exit price and acquirer have not been publicly disclosed. Public verification of acquirer identity for any of the three is GAP. Confidence: MEDIUM on the FieldEdge profile, GAP on the deal-level acquirers.

The three Trilogy exits collectively are illustrative of the asset class’s structural pattern: deal-level financial disclosure is sparse, named-exit announcements rely on Tracxn or Pitchbook scraping rather than firm-direct disclosure, and the institutional LP base receives detailed financial reporting privately while the public record remains coarse. This information asymmetry is one of the structural reasons aggregate IRR figures are received by the public investor community with skepticism and is part of why the Yale SOM 2.80x mean MOIC contrarian finding has not received the analytical attention it deserves. Confidence: MEDIUM.

17. Six contrarian findings about search-fund LP economics

Contrarian one: The Stanford headline overstates current-vintage LP-expected returns by 30 to 50 percent. Stanford 2024 reports 4.5x cumulative MOIC (StanfordGSB_Study_2024.pdf). Yale SOM 2025 reports 2.80x mean fund-level MOIC on its 12-investor, 23-fund, 1,192-observation sample (Yale SOM 2025). Stanford’s pooled-return methodology gives full weight to deep-vintage outliers, especially Asurion. Excluding the top five funds drops Stanford’s MOIC to 3.2x (investing.io). For a 2024 or 2025 LP commitment, the realistic base-case MOIC expectation is closer to 2.5x to 3.0x, not 4.5x. Confidence: HIGH.

Contrarian two: Seven firms control the institutional cap-table layer. Pacific Lake, Search Fund Partners, Relay, Anacapa, Trilogy, Endurance, and Search Fund Accelerator collectively anchor the bulk of modern search-fund cap tables. Cumulative reach across the seven exceeds the 681 Stanford cumulative fund count, reflecting multi-LP cap-table participation per deal. This concentration is good for searchers (templated diligence, fast cycles) but creates single-failure-mode risk if one or two of these firms pulls back during a recession. Confidence: HIGH.

Contrarian three: The search-capital loss ratio is structurally higher than press coverage implies. Combining the 37 percent failure-to-acquire rate with the 31 percent of acquisitions that experience losses produces a blended LP loss ratio of approximately 56 percent at the search-capital level (0.37 plus 0.63 multiplied by 0.31 equals 0.56) and 31 percent at the acquisition-equity level per capitalpad.com. The 1.5x step-up partially but not fully compensates for this risk. Confidence: HIGH.

Contrarian four: The 1.5x step-up favors searchers in successful exits and punishes investors in mediocre exits. Worked example: the step-up converts 500,000 dollars of search capital into 750,000 dollars of acquisition-stage equity at close. In a 5x exit, search-capital investors receive 5x on 750,000 dollars (3.75 million dollars), or 7.5x on original 500,000 dollars. In a 1.5x exit, search-capital investors receive 1.5x on 750,000 dollars (1.125 million dollars), or 2.25x on original 500,000 dollars. But in a partial-loss scenario where the company sells for 0.7x of acquisition equity, search-capital investors receive 0.7x on 750,000 dollars (525,000 dollars), a 5 percent gain on original capital that fails to compensate for time value or risk. The step-up is symmetric to the upside, asymmetrically punishing on the downside. Confidence: HIGH on the worked example, MEDIUM on the qualitative framing.

Contrarian five: Pre-search vs post-search LP returns diverge meaningfully. First-tranche LPs (search capital) take 37 percent failure-to-acquire risk plus 31 percent loss-on-acquisition risk. Second-tranche LPs (acquisition-equity only) take 31 percent loss-on-acquisition risk and skip the failure-to-acquire risk. The 1.5x step-up is the compensating mechanic, but the LP base of 500,000 dollars search capital plus 1.5x step-up to 750,000 dollars represents only about 5 percent of the median 14.4 million dollar purchase price (capitalpad.com). The acquisition-equity layer at typical 40 to 50 percent equity check times 14.4 million dollar purchase is approximately 5.8 to 7.2 million dollars per deal. Acquisition-stage LPs structurally face lower risk and capture larger absolute dollar gains on successful exits. Confidence: HIGH.

Contrarian six: Asurion is the IRR anchor. Without Asurion’s over-100x return in 1995 (slate.com), the Stanford headline IRR would be in the high 20 percent range, not 35.1 percent. The institutional case for search funds rests on the assumption that another Asurion-class winner will emerge in the next decade. The Yale 2025 data point that only 2 percent of deal-level observations exceed 10x (Yale SOM 2025) implies that LPs underwriting traditional search funds are buying a venture-style power-law distribution, not a buyout-style distribution. This is the most important and least-named structural truth in the asset class. Confidence: HIGH.

18. Searcher economics by stage: search, acquisition, operating, exit

The searcher’s economic position evolves across four stages: search, acquisition, operating, and exit. At each stage the implied cash and carry economics differ materially. Confidence: HIGH.

Search stage (20 months median). The searcher draws a 139,000 dollar base salary (Stanford 2024 average per thesmbcenter.com) funded out of the 500,000 to 550,000 dollar search capital raised from 12 original LPs. The searcher’s cash compensation during search is below market for the typical MBA-postgraduate cohort, but with no equity risk capital contributed (the search capital is fully LP-funded) and acceptance that the search may fail to acquire. The implied risk-adjusted compensation is approximately neutral. Confidence: HIGH.

Acquisition stage. On closing the median 14.4 million dollar acquisition at 7.0x EBITDA on 2.2 million dollars EBITDA, the searcher takes the acquisition-close tranche of equity, roughly one-third of the 25 percent total searcher equity, or approximately 8.33 percent of common equity vested immediately. On a 14.4 million dollar EV and the assumption of approximately 5.0 to 6.5 million dollar acquisition equity check, the immediately-vested searcher stake represents on a book-value basis approximately 420,000 to 540,000 dollars of theoretical equity value. The searcher’s tax basis is typically zero, and the value is illiquid and subject to clawback under the operating agreement. Confidence: MEDIUM on the dollar figure, HIGH on the structural framing.

Operating stage (4 to 7 years). The searcher draws 190,000 dollars in cash compensation as CEO (Stanford 2024 median per thesmbcenter.com). The time-based tranche of searcher equity (the second one-third) vests linearly over four to five years. The performance-hurdle tranche (the final one-third) vests on IRR achievement, broken into 8.33 percent at 8 percent hurdle, 8.33 percent at 25 percent hurdle, and 8.33 percent at 35 percent hurdle. The searcher is incentivized to drive EBITDA growth at the 25 percent post-acquisition median to position the company for a multiple-expansion exit. Confidence: HIGH.

Exit stage. The searcher realizes equity value through liquidity on company sale. Stanford 2024 reports median realized equity at 2.25 million dollars per person for exited searchers and 1.98 million dollars for still-operating searchers per smash.vc. The average for exited searchers is 5.7 million dollars per person and 6.09 million dollars for still-operating searchers. The mean-versus-median gap of 2.5x to 3x reflects the same power-law distribution observed at the LP level. Right-tail outcomes for individual searchers can exceed 50 million dollars (Asurion-class), but the median outcome is in the 2 million dollar to 6 million dollar band. Confidence: HIGH.

19. Capital provider economics: no fees, 1.5x step-up cap, 8 percent hurdle

The institutional capital-provider compensation structure in search funds is distinct from traditional PE in three important ways. First, search-fund LPs typically do not charge management fees on their commitments to individual searcher cap tables. The LP economics are entirely returns-driven through the 1.5x step-up plus pro-rata participation in acquisition-equity exit proceeds. Confidence: HIGH.

Second, the 1.5x step-up is the only structural compensation for the failure-to-acquire risk that search-capital LPs accept. There is no annual preferred return on search capital during the search window, and search capital is not refundable if the searcher abandons the search before deploying it. The 1.5x cap is industry-standard per acquisitionstars.com and represents a structural ceiling on first-tranche economic upside until acquisition closes. Confidence: HIGH.

Third, the 8 percent annual cumulative preferred return on acquisition equity per searcherinsights.com applies only to the acquisition equity (the post-step-up basis for converted search capital plus new acquisition-equity dollars). The 8 percent hurdle is the structural reason searcher equity vests through performance hurdles starting at 8 percent IRR to investors per acquisitionstars.com: at 8 percent IRR the investor preferred return is fully satisfied, and the searcher begins to participate in the upside through the performance-vesting tranche. Confidence: HIGH.

Capital provider AUM economics scale through fund count, not management fees on individual deals. Pacific Lake’s approximately 2.302 billion dollar discretionary AUM per pacificlake.com reflects multiple closed funds (Fund IV at 175 million dollars in 2018, Fund VI as a 2024 vintage per Pitchbook). Fund-level management fees on these vehicles flow to Pacific Lake, while individual searcher-level cap-table participation is fee-free to the searcher. Relay’s approximately 200 million dollar AUM per relayinvestments.com structures similarly. Confidence: HIGH.

The CapitalPad deal-by-deal platform charges its accredited LPs a different compensation structure: a flat service fee plus carried interest on realized gains per the platform disclosure at investing.io. This is closer to a syndicate-as-a-service model than to a traditional search-fund LP fund. Confidence: HIGH.

20. Limitations and data gaps

The following data points were targeted in this report but not independently verified to a primary source by the cutoff date of June 21, 2026.

• 2024 and 2025 cohort launches. The Stanford 2026 Search Fund Study is not yet released. Implied 2024 to 2025 launch counts from CNBC and trade press only and are treated as directional rather than primary. Confidence on derived figures: LOW to MEDIUM.
• Deal-level 2024 and 2025 exits. Public disclosure of search-fund exits is thin. The Searchfunder.com aggregate exit reports lag by 12 to 24 months and the most recent published annual report covers data through 2019. Stanford and IESE do not name individual exits in published study summaries. Treat any deal-level 2024 to 2026 search-fund exit list as substantially incomplete until the Stanford 2026 study lands. Confidence: GAP.
• Cabrillo Point Capital and Iron Lake Capital. Both appear in canonical searcher-facing LP lists per miramarequity.com but neither has a public primary-source LP-fund disclosure as a discrete branded search-fund vehicle. Confidence: GAP.
• Bow River Search Fund Studies as a discrete program. No public confirmation of a Bow River-branded search-fund study or vehicle. Bow River’s participation in search-fund deals occurs through its broader lower-middle-market PE strategy per bowrivercapital.com. Confidence: GAP.
• Stride vs Ascensus framing. Treated as two separate data points. Stride, Inc. (NYSE: LRN) is the K12 Inc. successor publicly listed per Wikipedia. Ascensus is a separate retirement and college savings administrator. No public source confirms a single search-fund deal labeled “Stride now Ascensus.” Confidence: GAP on the framing, HIGH on the underlying entities being distinct.
• Babson-affiliated dedicated search-fund vehicle. Search Fund Accelerator describes itself as creating the accelerator industry in 2015 per searchfundaccelerator.com. No public source confirms a separate Babson College-branded search-fund LP vehicle. Babson Capital Management LLC (now operating under Barings as the asset management arm of MassMutual per Pitchbook) is unrelated to the search-fund market. Confidence: GAP.
• Vroom Ventures and WS Investments. Neither name returned a primary-source profile as a search-fund LP. Confidence: GAP.
• Sebastian Mallaby and Search Fund Partners. Mallaby is the Paul A. Volcker senior fellow at the Council on Foreign Relations and author of “The Power Law.” No public source confirms a direct LP or operating relationship between Mallaby and Search Fund Partners. Treat the Mallaby framing as a network reference rather than a primary-source LP relationship. Confidence: GAP.
• Bow River Capital Evergreen Fund role in search. Fund launched January 2021 to provide institutional-quality private-market access per bowrivercapital.com. Specific search-fund cap-table participation not separately disclosed. Confidence: GAP.
• Board representation and voting structures. No Stanford or IESE-level aggregate disclosure on board composition by deal vintage. The standard convention of 66 to 75 percent weighted-majority voting at the convertible preferred class level is based on operator handbook conventions rather than published primary data. Confidence: LOW.

This report should be read as a snapshot of the publicly disclosed search-fund market through June 21, 2026. The next major data release will be the Stanford 2026 Search Fund Study (expected mid to late 2026) and the IESE 2026 International Search Fund Study, which together will provide the next set of cohort-level vintage data for the 2024 and 2025 launch cohorts. Material directional changes to the contrarian findings above should be expected once the 2026 studies land. Confidence: HIGH.

21. Related CT Acquisitions research

This report sits inside a broader CT Acquisitions research stack on entrepreneurship-through-acquisition and lower-middle-market private capital. Readers should pair it with the following companion research.

• Entrepreneurship through acquisition (ETA): the operator-led acquirer model. The taxonomy of search-fund, self-funded search, independent sponsor, and permanent-capital ETA structures and how each maps to specific LP profiles and operator backgrounds.
• Independent sponsor economics explained: 2-3-5 versus 2-3-7 versus market-deal carry waterfalls. The closest structural cousin to the search-fund model, with deal-by-deal capital raising and carried-interest waterfalls that differ from the search-fund step-up convention.
• Family offices acquiring businesses 2026 guide. The deep family-office LP base that anchors search-fund cap tables alongside the institutional firms profiled above.
• CT Acquisitions PE platform map. The cross-vertical map of PE platforms across 31 sectors that intersects with the search-fund market on healthcare, business services, and tech-enabled services.
• Continuation vehicle tracker. The structural sibling at the institutional PE end of the market, where GPs roll trophy assets into new vehicles rather than selling outright.
• Independent sponsor tracker. The deal-by-deal aggregator that overlaps directly with CapitalPad’s positioning at the bottom end of the search-fund market.

22. Sources

The full set of cited primary and secondary sources, in the order of first appearance in this report.

1. Stanford GSB 2024 Search Fund Study (case-studies page)
2. Stanford GSB 2024 Search Fund Study (full PDF)
3. IESE 2024 International Search Fund Study research case (Ann-Sophie Kowalewski)
4. IESE Insight: Search funds global growth summary
5. Yale SOM October 2025 case: How are Search Fund Investors Really Faring?
6. CapitalPad: Search fund statistics digest
7. CapitalPad: Search fund returns digest
8. CapitalPad: Search funds platform overview
9. SMB Center: 2024 Stanford Search Fund Study key insights
10. Investing.io: Self-funded search fund statistics
11. Investing.io: CapitalPad review
12. smash.vc: Search fund statistics summary
13. CNBC September 2025: Search fund investment, wealth, and entrepreneurship
14. TLAO Podcast Ep 232: Sara Heston on the Stanford 2024 Search Fund Study
15. searchfundmarket.com: Search fund history and study editions
16. Pacific Lake Partners firm page
17. Buyouts Insider: Pacific Lake Fund IV closes at $175M (2018)
18. Pitchbook: Pacific Lake Fund VI 2024 vintage profile
19. Search Fund Partners firm page
20. Pitchbook: Search Fund Partners investor profile
21. Relay Investments about page
22. Relay Investments our story page
23. Search Fund Accelerator firm page
24. Pitchbook: Search Fund Accelerator investor profile
25. Anacapa Partners background
26. Trilogy Search Partners firm page
27. Tracxn: Trilogy Search Partners profile
28. Endurance Search Partners firm page
29. Tracxn: Pacific Lake Partners profile (also RescueStat Aug 8, 2025 reference)
30. IBBA: Search funds as buyers
31. Hadley Family Capital firm page
32. Permanent Equity firm page
33. Permanent Equity: Tim Hanson bio
34. Bow River Capital firm page
35. Ironwood Capital firm page
36. Roebling Capital Partners firm page
37. Miramar Equity: search fund investors portfolio
38. Stanford GSB Grousbeck-Holloway Center for Entrepreneurial Studies
39. Pitchbook: Babson Capital Management profile
40. Slate 2014: search funds and the Asurion narrative (cited for Asurion deal history)
41. Wikipedia: Stride, Inc. (NYSE: LRN)
42. INSEAD Knowledge: Search funds outperforming PE and VC
43. Encyclopedia.com: Asurion Corporation profile
44. Pipeline Road: Cambridge Associates US buyout benchmark summary
45. Cambridge Associates: private investment benchmarks
46. Acquisition Stars: search fund investor agreements
47. Altstreet: search fund step-up mechanics
48. Acquisition Stars: search fund sponsor equity structure
49. Searcher Insights: fundamentals of search fund capital structures
50. Search Funds News: searchers’ economic rights and equity vesting
51. Angel Investors Network: search fund acquisition entrepreneur’s guide

23. Frequently asked questions

Related research: for SBA 7(a) FY2025 $37.3B total / $8.29B acquisition segment; Live Oak Bank NYSE: LOB #1 at $2.8B / 2,280 loans +44% YoY; Newtek #2 at $2.0B+; SOP 50 10 8 effective June 1 2025 tightened seller note + partial COO requirements; acquisition default 1.93% vs 2.71% non-acquisition, see the 2024-2026 SBA 7(a) Acquisition Lender Performance Rankings.

Related research: for Sub-$133.9M HSR-2026-threshold PE M&A 2024-2026 (1,973 FY24 reportable filings vs 621 healthcare-only PE add-ons per PESP = 10x+ unreported ratio; Apex ~60/yr + VetCor 100+/yr + SPS PoolCare 191 cumulative + Heartland Dental continuous; Welsh Carson May 13 2025 first sponsor-level prior-approval; Chamber v. FTC Feb 12 2026 vacated 2024 HSR Form Final Rule), see the 2024-2026 PE HSR Threshold Avoidance Database.

Related research: for 200+ named US + EU + Asia SFOs with 60+ named direct PE deals 2024-2026 (Mars-Kellanova $35.9B Aug 2024, Ellison-Paramount $8B close Aug 7 2025, Hinduja-Reliance Capital INR 9,650cr March 18 2025, Pinault-CAA $7B 2023-24, PPC IV $3.4B Aug 2025 final close, Reuben-W South Beach $425M Oct 2024, Crown-Rockefeller Center $3.5B Nov 2024) plus the JAB BBB downgrade + INEOS + Artémis stress counter-narrative, see the 2024-2026 Top 200 Single Family Office Direct PE Investment Tracker.

Related research: for BDT-MSD $73.8B, Cascade $115B+, ICONIQ $80B+, Singapore 2,000+ SFOs (+43% YoY), see the 2026 Top 100 Family Office Direct PE Platforms Report.

Related research: for 25+ active platforms, MOIC 27%->54% shift, 5% modal GP commit, IRC 1061 reshape, see the 2026 US Independent Sponsor Economics Report.

What is a search fund?

A search fund is a two-stage investment vehicle in which one or two MBA-graduate searchers raise a small pool of search capital (median 500,000 to 550,000 dollars per Stanford 2024) from a group of typically 12 institutional and high-net-worth investors to fund a 20-month search for a single privately-held operating company to acquire. On identifying a target, the searcher raises a larger acquisition-equity round (typically 5 to 7 million dollars on a median 14.4 million dollar purchase) and assumes the CEO role at the acquired company. The model originated at Stanford GSB in 1984 and is now tracked biennially by Stanford in the US and Canada and by IESE Business School internationally.

What is the typical search fund return profile?

The Stanford 2024 study reports a cumulative pre-tax IRR of 35.1 percent and MOIC of 4.5x across all 681 US and Canada funds tracked through year-end 2023. For exited-only deals the figures rise to 42.9 percent IRR and 6.9x MOIC. The Yale SOM October 2025 case reports a substantially lower 2.80x mean fund-level MOIC on its 12-investor sample, suggesting that current-vintage LP commitments should expect realized returns closer to 2.5x to 3.0x MOIC than the Stanford headline figure.

What is the typical search fund step-up?

The industry standard is a 1.5x step-up. Search capital converts into acquisition-stage equity at 150 percent of its original basis. A 500,000 dollar search-capital commitment becomes 750,000 dollars of acquisition equity at close, compensating early-stage LPs for the failure-to-acquire risk. Some unusually long or expensive searches carry 200 percent step-ups but the 1.5x figure dominates.

What is the typical searcher equity stake?

Stanford 2024 reports median searcher equity at acquisition of 25 percent, with performance vesting taking total equity to 30 to 35 percent if hurdles are met. The 25 percent is typically structured in three equal tranches: 8.33 percent at the 8 percent IRR hurdle, 8.33 percent at the 25 percent IRR hurdle, and 8.33 percent at the 35 percent IRR hurdle, with sub-tranches for acquisition-close vesting and time-based vesting over four to five years.

How many search funds have been launched cumulatively?

Through year-end 2023, Stanford GSB tracked 681 cumulative US and Canada traditional search funds since 1984. The 2023 cohort set a record at 94 new launches in a single year. IESE Business School tracked 320 international search funds across 40 countries on 5 continents through the same cutoff date.

What is the search fund failure rate?

Approximately 37 percent of concluded searches dissolve without an acquisition per Stanford 2024. Among acquisitions, approximately 31 percent experience losses (20.5 percent partial and 10.5 percent total). The blended search-capital loss ratio is approximately 56 percent (37 percent failure-to-acquire plus 0.63 multiplied by 0.31 loss-on-acquisition). The acquisition-equity-only loss rate is the 31 percent figure.

How much do search-fund searchers get paid?

The Stanford 2024 average search-stage salary is 139,000 dollars. Post-acquisition CEO compensation is a median 190,000 dollars. Realized equity per searcher at exit is a median 2.25 million dollars and an average of 5.7 million dollars, reflecting the power-law distribution typical of the asset class.

Who are the top search-fund capital providers?

Pacific Lake Partners (Boston, ~$2.302 billion AUM), Search Fund Partners (Menlo Park, 202 investments), Relay Investments (Boston, ~$200 million AUM, 250+ funds backed), Anacapa Partners (San Mateo, 175+ partnerships), Trilogy Search Partners (Mercer Island, 66 companies), and Endurance Search Partners (Palm Beach, 226 investments / 64 exits). Permanent Equity (Columbia MO, 30-year hold) and CapitalPad (Atlanta, deal-by-deal accredited platform) sit at the adjacent ends of the search-fund market.

What are the most notable historical search fund exits?

Asurion, acquired by Jim Ellis and Kevin Taweel for 8 million dollars in 1995, sold for 4.2 billion dollars in 2007, returning over 100x to original deal investors. Jim Southern’s printing acquisition delivered 24x. Alta Colleges grew from 4 million dollars to over 400 million dollars in revenue. The Stanford 2022 and 2023 exit cohort included 28 companies with a 4.8-year mean operating duration and a 42.9 percent exited-IRR print.

What are the international search fund trends?

IESE 2024 tracked 320 international search funds across 40 countries. Spain leads with 67 cumulative funds, followed by Mexico at 50, the UK at 35, and Brazil at 34. The 2023 international cohort set new highs at 59 new funds and 31 acquisitions. International aggregate IRR is 18.1 percent and MOIC is 2.0x. Twenty-one international exits have been recorded, with 15 positive returns (Mexico 7, UK 3, Spain 2, Brazil 1, Chile 1, Italy 1).

24. About the author

This report was prepared by the CT Acquisitions research team. CT Acquisitions publishes thematic private capital research covering buy-side intelligence for family offices, independent sponsors, search-fund LPs, and lower-middle-market PE firms. The methodology relies on a primary-source-first approach grounded in academic studies (Stanford GSB, IESE Business School, Yale SOM), regulatory filings, and direct firm disclosures, supplemented by deal-level records from Pitchbook, Tracxn, and credible secondary aggregators. Confidence is marked per data point on the HIGH / MEDIUM / LOW / GAP scale to make methodological uncertainty visible to the reader. For research updates and corrections, contact the CT Acquisitions research desk.

Last updated: June 21, 2026.