Stanford’s 2026 Search Fund Primer is out. Three domains where it stops working for Europe.
Investor base, deal structures, operating environment. A structural comparison no one has published systematically anywhere.
Hello, and welcome back to Buyout Diary.
Stanford Graduate School of Business released the 2026 Primer on Search Funds. Sixty-nine pages. Eight parts. Forty years of accumulated learning from the institution that originated the model.
For anyone working in entrepreneurship through acquisition, the Primer is the global reference. It should sit on every searcher’s desk and inside every investor’s onboarding pack. The framework, the discipline, and the failure modes Stanford codifies are the closest the field has to an industry standard.
At the start of this year, readers asked for more on strategic search versus opportunistic search. The Stanford release makes this the moment to give the deepest possible answer. Strategic search is not a personality trait or a posture. It is the discipline of working from a framework specific enough to disqualify deals quickly, and rigorous enough that the searcher can defend every choice in front of investors who have seen hundreds of pitches.
Stanford’s framework is that discipline, codified.
And here is what most people in the European ecosystem have not said publicly yet: three of the eight domains do not transfer cleanly. Copying the US approach unchanged produces predictable failure modes. The European searcher who reads the Primer and imports the playbook is doing strategic search by name and imported search by substance.
This issue covers the three domains where the gap is biggest. Investor base composition. Deal structures. Operating environment. Each one is structurally different in ways that reshape every downstream decision. A closing synthesis covers financing and deal sourcing as the operational consequences that flow from the three structural differences.
This comparison has not been published systematically anywhere. It should have been. The point of this issue is to start the conversation.
Section 1. Investor base composition: a 40-year ecosystem versus a 9-year one
Stanford’s Part II describes a mature investor base. The typical search fund raises from 10 to 15 investors, with the spine of the cap table being professional search fund investors: Anacapa, Pacific Lake, Search Fund Partners, Relay, and a roster of similar firms. The remaining slots go to high net worth individuals, business owners, executives known to the searcher, and friends and family. The professional segment has clear conventions, near-instant model fluency, and ready-made governance practices. Term sheets are templated. Reference checks are easy. The infrastructure has been built across 681 cumulative search funds since 1984.
The European reality is real and emerging, but younger and geographically uneven. The picture varies more by country than most US-trained searchers expect.
Spain leads by a meaningful margin. Istria Capital, founded in Madrid in 2016 as the first European fund of search funds, has partnered with more than 170 search entrepreneurs and invested in more than 50 companies. Moonbase Capital, founded in 2021, runs a Search Fund Squared fund of funds model and has invested across Spain, Germany, and Austria. Beyond the dedicated vehicles, Spain has a broad investor base across Relay Investments, Cabiedes, ALZA Capital Partners, and a wider community of family offices and HNW investors. IESE counts 67 search funds in Spain, the largest count outside the US and Canada. The ecosystem benefits from the IESE-anchored academic community and a relatively developed broker network.
DACH is emerging fast. Tembo Search Partners, launched in Hamburg in 2024 by Christian Gieger and Benedikt von Hatzfeldt, targets up to five searchers per year and has secured financing from numerous small and medium family offices. Novastone Capital Advisors, launched in 2020 out of a Swiss family office, operates a deal-by-deal model that has been particularly active across the region. Beyond these anchor vehicles, the German-speaking landscape includes Konkordia Unternehmensnachfolge, Tilia Nachfolgekapital, Rigeto (Munich, deal-by-deal since 2013), Valerna (London and Frankfurt, 2024), and a growing roster of family offices co-investing in single deals. IESE counts 20 search funds launched in Germany since 2009. Germany has the largest succession market in Europe, and the ecosystem is finally building infrastructure to match it.
Benelux is earliest. Novidam, Amsterdam based search fund investor, is one of the few dedicated vehicles in the region. Many Dutch searchers have chosen the self-funded route, Tjebbe van Heerde being a recent example, partly because the search fund investor base is thinner and partly because the self-funded model gives the searcher more equity and more flexibility for the lower-EBITDA targets common in the Dutch SME market. The RSM ETA conference in Rotterdam in late 2025 was the first of its kind in Benelux. The community is real and growing.
The UK is the most active current market, with strong supply on both sides of the table and a legal infrastructure closest to the US norm.
The operational consequence for a European searcher is significant. The professional segment Stanford treats as the spine of the typical cap table is real, but geographically concentrated. A searcher in Madrid has access most US searchers would recognise. A searcher in Hamburg has a thinner ecosystem with rising momentum. A searcher in Amsterdam, Brussels, or Milan has a still-emerging one. Fundraising timelines are longer because more investors need to be educated on the model from scratch. Term negotiations are less standardised because the conventions are still forming. Geographic match between investor and searcher matters more, because regional bias is stronger in family offices than in US institutional investors.
For investors evaluating searchers, the diligence framework Stanford encodes remains useful. The shorthand assumptions are not yet. Reference checks travel less well across borders. Track records of search fund returns in any specific country are shorter. Co-investor patterns are still forming.
The ecosystem difference shows up in returns. Stanford’s 2024 Search Fund Study reported an aggregate IRR of 35.1 percent and a 4.5x MOIC across US and Canadian search funds since 1984. The IESE 2024 International Search Fund Study, covering 320 search funds outside the US and Canada, reported an aggregate IRR of 18.1 percent and a 2.0x MOIC. IESE itself attributes a significant portion of the gap to the fact that 62 percent of international acquisitions have happened since 2020, leaving little time for equity appreciation to materialise. Some of the spread will close as those acquisitions mature. Some of it will not, because the structural differences this issue documents do not go away with time.
Strategic search in Europe begins with an honest map of the investor base in the searcher’s geography. The Spanish model is not the German model is not the Benelux model. Copying the US shorthand without adapting to the local reality is the first failure mode.
Section 2. Deal structures: participating preferred stock meets BV, GmbH, SRL, and Ltd
Stanford’s Part III is the heart of the Primer. The structural core is participating preferred equity. Investors put in search capital. That capital converts to acquisition equity at a step-up, typically 150 percent. At acquisition, investors hold participating preferred shares with a coupon. The searcher holds common equity. The investor receives the original investment plus the accrued coupon before the common equity participates, and then both share in the remaining upside.
Stanford documents two main variations of this structure. Non-redeemable participating preferred with a 6 to 8 percent coupon, which has become the searcher-preferred structure in recent years. And a mixed structure combining redeemable participating preferred (15 to 17 percent coupon, payable on a defined trigger) with non-redeemable participating preferred at 0 percent. The earned equity for the searcher sits at 25 percent for solo, 30 percent for partnerships, distributed across three tranches: at acquisition, time-vesting over four years, and performance-vesting tied to IRR or MOIC hurdles. Recent deals also include a catch-up provision that allows the searcher to reach the originally negotiated equity split if performance benchmarks are met.
This entire structure is built on the assumption of a Delaware C-corporation. None of it translates cleanly to European company law.
In the Netherlands, a BV (Besloten Vennootschap) can issue preference shares, but the mechanics differ from US participating preferred. Coupon accrual, redemption rights, and conversion mechanics need to be drafted into the articles of association in ways that vary across deals and are not yet standardised. The economic effect can be replicated, but the legal form is different and the documentation is more bespoke.
In Germany, the GmbH is the most consequential break from the US framework. GmbH law restricts share class differentiation in ways that make a single-document equivalent to participating preferred legally impossible. The economic effect is typically achieved through a combination of preferred shares (Vorzugsanteile), subordinated shareholder loans, and a tightly drafted shareholders agreement. The resulting structure is more complex, more expensive to negotiate, and harder to replicate across deals. ROHDE BAIER and a small number of other German law firms have built specialised practices to serve this market.
In Belgium, the SRL (Société à Responsabilité Limitée) operates similarly to the BV with its own legal specifics. Conventus Law published a detailed analysis of search fund structures in Belgium in March 2026 that walks through the mechanics. The Belgian market is smaller, but the legal infrastructure is now being documented publicly for the first time.
In the UK, the Ltd structure is closest to the US model. Redeemable preference shares plus ordinary shares is a well-understood combination that translates participating preferred mechanics with relatively minor adaptation. This is one structural reason the UK has the most active current European search fund market: the legal friction is lowest.
The implications for a European searcher are direct. A US PPM and a US term sheet cannot be copied. Both assume a Delaware C-corporation that does not exist locally. The most common failure mode is exactly this: a searcher pulls a US template from SearchFunder or from a friend who raised in the US, fills in the names and numbers, and presents the document to European investors. The document reads as a sign the searcher has done the strategic work but not the structural work. European investors recognise the imported template immediately.
The failure mode is concrete and recurring. A searcher with a Spanish-language MBA pulls a Delaware-style PPM, adapts the cover page for a Madrid-based fund, and circulates it to a mix of Spanish family offices and European fund of funds vehicles. The first call back from any sophisticated investor opens with a question about the legal vehicle, the share class structure, and the local tax treatment of the proposed coupon. The searcher has answers for none of these, because the imported template assumes them all. Two weeks of conversations get rebuilt from scratch. In the worst version of this, the searcher commits to a target before resolving the structure, signs an LOI in a country where the planned structure does not work, and has to renegotiate either the deal or the cap table under deadline pressure. Both options burn credibility.
Each country requires its own structure. A pan-European searcher must decide on target geography and the corresponding legal structure before raising capital, not after. The catch-up provision Stanford documents as a growing US convention has not yet standardised in Europe. Whether to include it, at what hurdles, and in what form is a deal-by-deal negotiation that depends on the investor base.
Currency mechanics matter. Stanford notes that international search funds often denominate preferred returns in US dollars to manage currency risk for US investors. A European searcher whose investor base is local should denominate in euros, GBP, or CHF as appropriate. Cross-border investor bases force the question explicitly. A searcher with investors in Frankfurt, Madrid, and London is making a currency decision before any business is acquired.
For investors evaluating searchers, the legal structure of the proposed deal is a clean diagnostic. A PPM that describes US-style participating preferred without specifying how it will be implemented in BV, GmbH, SRL, or Ltd form is a signal of incomplete preparation. The investor diligence framework needs local legal expertise that is not yet commoditised in most European geographies.
Stanford’s Part III is the right intellectual framework. The implementation belongs to local law. A searcher who can articulate the structural translation from US conventions to their target geography has done the work. A searcher who cannot is still operating from the imported playbook.
Section 3. Operating environment: works councils, two-tier boards, and what the first 100 days actually require
Stanford’s Part VIII covers transitioning ownership and management. The framework is excellent. Day One communication. The first 100 days. The seller transition period. Communication to employees, customers, suppliers, and investors. The operator’s mindset. The maxim that the new CEO should make no substantive changes in the early days and focus on learning and evaluating the business.
The framework assumes a US operating environment: at-will employment, single-jurisdiction operations, one-tier board governance, relatively light data protection regulation, common business language and customary commercial practices. Inside that environment, the framework is well-tuned.
The European operating environment is structurally different in five ways that reshape what the first 100 days actually require.
Works councils. In Germany, Austria, France, Netherlands, Belgium, and other jurisdictions, businesses above defined size thresholds have legally mandated works councils with co-determination rights. The new CEO is required to inform, consult with, or negotiate with the works council on a range of decisions Stanford treats as managerial discretion. Hiring above a certain seniority. Reorganisations. Changes to working conditions. Layoffs. The 100-day plan in a German target above 20 employees includes a formal relationship with the Betriebsrat that has no equivalent in the US framework. A new CEO who arrives without a plan for that relationship spends weeks recovering from the first misstep.
Two-tier board governance. Germany and Austria require, and the Netherlands permits, a two-tier board structure: a supervisory board (Aufsichtsrat, Raad van Commissarissen) separate from a management board (Vorstand, Bestuur). Stanford’s section on board composition and meetings assumes a one-tier board. The European searcher must design the cap-table-to-board mapping for two structures, not one. The roles, responsibilities, and meeting cadences differ between the supervisory and management boards in ways that require deliberate design before closing.
Labour protections. Notice periods, severance entitlements, and dismissal protections are stronger across European jurisdictions than the US norm. In Germany, dismissal protection (Kündigungsschutz) applies after six months of employment and makes performance-related terminations slow and procedural. In the Netherlands, the standard notice period for dismissal can extend to four months, and employer-initiated terminations require either UWV approval or court approval. The veteran US advice to remove people who were highly disruptive to the transition cannot be acted on at the same pace. A 100-day plan that assumes US-style management restructuring speed is operationally unachievable in a German or Dutch target.
GDPR and data governance. Stanford’s framework on customer communication, employee data, post-closing reporting infrastructure, and the integration of acquired business data does not engage GDPR. The European searcher must design Day One communication, data room access, post-closing data integration, and reporting practices to be GDPR-compliant from the first hour. The fines for non-compliance are material. The reputational damage from a GDPR incident in the first ninety days is harder to recover from than any operational misstep Stanford addresses.
Multi-jurisdiction complexity. Many European target businesses operate across two or three jurisdictions. Stanford’s framework assumes single-jurisdiction operations. The reality on the ground is often a Belgian operating entity with French customers and German suppliers, or a Dutch holding company with German operating subsidiaries. The first 100 days include legal, tax, and operational coordination across borders that has no Stanford equivalent. VAT treatment differs by jurisdiction. Employment law differs. Reporting obligations differ. The searcher who has not mapped this before closing learns it under deadline pressure.
Cultural variation in seller transition. Stanford treats seller transition as a single problem with one set of cultural assumptions. The reality across European jurisdictions is fragmented. German sellers often expect cleaner exits with shorter handover periods. Dutch sellers often want longer collaborative handovers and pragmatic relationships post-closing. UK sellers expect substantial seller financing and continued board involvement. Italian and French family businesses often involve multi-generational dynamics that do not fit US-style Transition Services Agreements. A pan-European searcher who pitches a single transition framework across jurisdictions burns relationships.
The Stanford 100-day framework is the skeleton. The European searcher adds five separate layers to the skeleton: works council relationship, two-tier governance where applicable, labour protection awareness, GDPR design, multi-jurisdiction coordination. The pace of post-acquisition change is fundamentally slower. A US searcher might restructure the management team in 90 days. A German searcher might take 18 months to achieve the equivalent, working through the works council and respecting notice periods. Value creation timelines need to be set accordingly. A European searcher who promises investors a US-style value creation timeline is setting up for a credibility failure at the first board meeting after closing.
For investors evaluating European searchers, the diagnostic is straightforward. A 100-day plan that does not mention the works council in a German target is a signal. A value creation plan that assumes US-style management restructuring speed is a signal. A reporting infrastructure proposal that does not engage GDPR is a signal.
The Stanford framework on transition is excellent for what it covers. What it does not cover is the layer where European value creation actually happens or fails.
The INSEAD Report is live
Saturday morning, the 2026 INSEAD ETA Conference Report shipped to the founding cohort. From today, it is available as a single report to anyone who wants it.
I wrote this report from Amsterdam in the week after returning from Fontainebleau. 41 pages. Seven chapters. Four named European searchers and investors on the record: Yves Warnant in Belgium, Ghislaine Alami in France, Veena Giridhar Gopal in the United Kingdom, and Jaume Argerich in Spain. Plus direct observation of the conference itself, plus the hallway conversations, plus the Friday night dinner that became Chapter 1.
What I tried to do is what no one else seems to be doing for European ETA right now. Primary research from inside the room. Named voices on the record, with their permission and approval on every quote. The European map as it actually looks in 2026, not as it is described in American playbooks that don’t quite fit.
The report covers what the four routes to ETA actually mean in practice, the fifth route that surfaced at the conference and which the pre-reading does not name, what investors are looking for in 2026 across both written criteria and what they would not say from the panel microphone, and where this all goes over the next twelve months.
The Eurostar carriage in Chapter 1 is where I would start. The structural findings build from there.
Closing synthesis. Financing and deal sourcing as operational consequences
Two domains flow from the three structural differences above. Both deserve acknowledgement.
Financing. Stanford’s Part III implicitly assumes the US SBA 7(a) financing environment, where loans up to $5 million at a 90 percent government guarantee are routine for search fund acquisitions. Europe has nothing equivalent at that scale. The financing playbook depends on both the country and the model: traditional search fund, self-funded search, or accelerator-backed deal-by-deal.
The Netherlands has BMKB, a government guarantee scheme covering up to 90 percent of loans up to €1.5 million, narrower in scope than SBA. Dutch banks, particularly Rabobank, ING, and ABN, have established practices for SME acquisition financing. Germany has KfW programmes that subsidise SME financing through the Hausbank principle, which means the searcher works through a primary German bank that then accesses KfW liquidity. Acquisition financing for searchers in Germany is more conservative than US norms, in part because German banks underwrite to lower leverage ratios. The UK operates schemes at 80 percent guarantee with ceilings that depend on the specific programme. Belgium splits between Flanders and Wallonia with regional schemes that vary materially.
The financing playbook is built country by country and model by model. A self-funded searcher in the Netherlands uses BMKB differently than a traditional search fund in Germany works with KfW. A pan-European searcher must understand which country the target sits in before the financing conversation starts.
Deal sourcing. Stanford’s Part V assumes the US deal sourcing infrastructure: ACG with over 10,000 members, IBBA with over 1,800 members, SearchFunder.com as the central platform, and dense broker networks. Europe is fragmented and geographically uneven.
Spain has the most accessible infrastructure: Search Fund Spain, the IESE-anchored ecosystem, a relatively developed broker network, and accessible public databases on family business succession. Germany has the largest succession market in Europe, with IfM Bonn estimating around 35,000 annual successions between 2026 and 2030, and KfW reporting more than 600,000 firms planning transfers between 2023 and 2027. And Germany has no central database. Searchers work through a fragmented mix: nexxt-change as the government platform with around 5,000 listings annually, DUB as the largest commercial exchange, Viaductus as a meta-search across more than 70 sources, regional IHK chamber exchanges, plus a substantial off-market segment that never lists publicly. Belgium runs through Transeo, the most developed national platform for that specific market. The Netherlands has Brookz and DealSuite as the primary deal platforms. Italy, France, and the Nordics each have their own broker and platform ecosystems with their own conventions.
The European searcher who builds a deal sourcing plan from the Stanford US framework will miss the cultural and structural variation that determines where deal flow actually comes from in their target geography.
The synthesis. Stanford’s 2026 Primer should sit on every European searcher’s desk. The framework, the criteria, the discipline, the failure modes Stanford codifies are largely portable. And: three domains require deep adaptation, and two require structural reconstruction. Recognising the difference between what to keep, what to adapt, and what to rebuild is what distinguishes strategic search from imported search in the European context.
The practical starting point: read the Primer fully, then build a three-column working document for the target geography that maps each Stanford element to keep, adapt, or rebuild. The document does not need to be polished. It needs to exist. Searchers who maintain it from the start of fundraising have a different conversation with European investors than searchers who improvise the comparison in real time.
Reply and tell me:
Where in the Stanford framework does the European reality break hardest in your experience?
And what part of the framework should a European companion to the Primer cover first?
See you next Monday.
Alexander