What Is a Search Fund?

A search fund is an investment vehicle through which investors pay an entrepreneur to spend about two years finding a private company to buy, then fund the purchase and hand that entrepreneur the CEO seat. The model was conceived at Stanford Graduate School of Business in 1984.

In plain terms: you do not need to be rich to buy a business. You need to be credible enough that other people will fund your search, and then fund your acquisition. That is the entire idea.

This guide covers how the model works, where the money comes from at each stage, what the entrepreneur actually earns, what kind of company gets bought, and where the model does not fit. No prior finance background assumed.

The Problem a Search Fund Solves

Most people who want to run a company can either start one or buy one, and both routes have an obvious blocker.

• Starting one means years of no revenue, no customers, and a high failure rate before you find out whether it works.
• Buying one means writing a cheque for a profitable business, which usually costs several million dollars. Most capable operators in their late twenties or thirties do not have that.

The search fund is the workaround. It splits the problem into two separate fundraises:

• First, raise a small amount to fund the search itself. Enough to pay yourself a modest salary while you look, full time, for a company worth buying.
• Then, raise the much larger amount to actually buy the business, once you have found a specific target with real numbers attached.

The insight is that investors will not hand an unproven operator millions of dollars up front. They will, however, fund a two-year search cheaply, then decide deal by deal whether to fund the purchase. The searcher is buying credibility in instalments.

This is why the model sits inside the broader idea of entrepreneurship through acquisition (often shortened to ETA): becoming an entrepreneur by buying an existing business rather than founding one.

How a Search Fund Works, Stage by Stage

Four stages, running roughly four to seven years end to end.

• Stage 1: Raise the search capital. The searcher raises a small fund from a group of investors, typically six to ten experienced search fund backers, to pay salary, travel and admin while they look for a company.
• Stage 2: Search. The searcher spends roughly two years contacting owners, screening companies, and negotiating. Median time to acquisition is about 20 months, per Stanford data.
• Stage 3: Acquire. Once a target is agreed, the searcher returns to the same investors to fund the purchase. They have first claim on the deal, but no obligation. Debt usually covers part of the price.
• Stage 4: Operate, then exit. The searcher becomes CEO and runs the company, typically for five to seven years, growing profits before selling. The biggest payday comes at exit, not at acquisition.

Where the Money Comes From

Search funds raise capital twice, on very different terms. This two-step structure is the defining feature of the model.

Two mechanics matter and are easy to miss:

• The step-up. Money put into the search converts into acquisition equity at a premium, industry-standard 1.5x. Invest $100,000 (~₹96.6 lakh) in the search, and it counts as $150,000 (~₹1.45 crore) of equity at the acquisition. This compensates investors for backing a person with no target yet.
• Right of first refusal. Search investors get the pro-rata right of first refusal on the acquisition equity. They can fund the deal on the same terms as anyone else, before outside money is invited. It is a right, not an obligation, so a weak target can still fail to attract funding.

Total deal sizes typically run $10M to $30M (~₹97 crore to ~₹290 crore), with bank or seller debt covering 20% to 40% of the purchase price.

What the Searcher Actually Earns

This is the question every beginner asks, and the answer is more conditional than most summaries admit.

Median searcher equity at acquisition is 25%, rising to 30–35% if performance targets are met. But that equity is not handed over at closing. It vests in three roughly equal tranches:

The third tranche is where the real conditionality sits. It is tied to the internal rate of return delivered to investors at exit:

Read that structure carefully, because it tells you what the model actually is. A searcher who buys a company, runs it competently for six years, and returns 15% a year to investors keeps roughly two thirds of their equity and forfeits the rest. The model does not pay for effort. It pays for outcome.

What a Search Fund Actually Buys

The target profile is narrow, and deliberately boring. Investors are funding a first-time CEO, so they want a business that will not punish inexperience.

The pattern behind the list: predictable cash flow, low capital intensity, and no technological cliff edge. A profitable, unglamorous, contract-heavy services business is close to the ideal. High-growth startups, capital-hungry manufacturers, and anything requiring deep technical specialisation are typically avoided.

Two Main Variants

• Traditional (funded) search. The structure described above. Investors fund the search, get the step-up and the right of first refusal, and the searcher takes a salary while looking. Lower personal financial risk, less control, smaller equity share.
• Self-funded search. The searcher funds their own search, usually while working, and finances the acquisition with debt and seller financing rather than a syndicate of institutional backers. Higher personal risk and no salary during the search, but a substantially larger equity stake and no investor group to answer to. Self-funded searchers typically buy smaller companies than the $10M–$30M (~₹97–290 crore) range above.

Accelerator-backed and sponsor-backed variants also exist, where an institution provides infrastructure and support alongside capital. Their specific economics vary by programme and are not covered here.

Where the Model Does Not Fit

Honest limitations, because the failure mode is expensive and under-discussed.

• Many searches never close. The search capital is genuinely at risk, and a meaningful share of searchers finish two years without an acquisition. The salary was real; the outcome was not.
• You are buying a job you cannot easily quit. The second vesting tranche runs four to five years. Leaving early forfeits equity.
• The performance hurdle is demanding. A 20% IRR floor before the final tranche pays anything is a high bar for a small services business in a slow-growing sector.
• The target profile excludes most businesses. EBITDA above $2M (~₹19.3 crore) with 60% recurring revenue rules out the overwhelming majority of small companies.
• It is heavily concentrated in the US and Canada. The Stanford study that defines the model's track record covers funds formed in those two markets. Investor networks, norms and lender familiarity are all built there.

What This Looks Like Outside the US

The classic search fund targets deals of $10M to $30M (~₹97 to ~₹290 crore). A large share of real acquisition activity in India and other emerging markets happens well below that.

Kautilya's own published engagements illustrate the spread. One confidential managed-services deal sits squarely inside the classic search fund range. Others sit far below it:

Three practical consequences follow, and these are Kautilya's read rather than published data, since no equivalent India dataset exists:

• The search capital stage is often skipped. At a $100,000 (~₹96.6 lakh) purchase price, raising a $450,000 (~₹4.3 crore) search fund to find it makes no sense. The economics only work at scale.
• Self-funded search is the more realistic template for most first-time acquirers in these markets, because deal sizes are within reach of personal capital plus seller financing.
• The screening discipline still transfers even when the structure does not. Recurring revenue, low capex, boring and profitable, no technology cliff: those filters are what make an acquisition survivable for a first-time operator at any deal size.

The structure is US-shaped. The diligence logic is universal.