Knowledge base
What 400 operators taught us about buying a business
Five years of Acquiring Minds interviews, distilled into the questions people actually ask before they buy. Every answer links to the episodes it came from.
These insights come from people willing to publicly share their stories, which likely over-indexes toward success. Read them as patterns worth knowing, not a measure of how likely success is.
Start here
What does buying a small business actually look like?
Most people who come on the show didn't start a company. They bought one that already worked, usually a boomer-owned main-street business w/ steady customers and a retiring owner. The appeal is simple: skip the years of finding product-market fit and step straight into cash flow you can live on and grow.
The money tends to come together the same way: an SBA loan for the bulk of the price, a seller note for a slice, and your own cash for the rest. Small businesses still change hands at roughly 2x to 4x earnings, which Clint Fiore called one of the last asset classes not priced at bubble levels. Justin Harris bought two candle companies and doubled revenue in six months, which is the version everyone pictures.
Read the patterns here as what worked for people willing to talk about it, and pay the closest attention to the parts where it went wrong. That is where the real lessons live.
The good businesses
Which businesses make the best acquisitions?
After 400 interviews, the same profile keeps surfacing. The businesses people are glad they bought sell something customers can't put off, bill for it more than once, and sit in a market too fragmented or too specialized for a big player to squeeze them on price.
Home-services trades are the spine of it. HVAC, plumbing & electrical come up in nearly every conversation, usually w/ an owner who was great with a wrench and never really touched pricing or marketing. John Wilson took average tickets from $330 to $1,200 using flat-rate pricing and software the previous owner never ran, which is roughly the whole opportunity in one story.
The quieter winners are niche manufacturing & distribution with a real moat, e.g. products too heavy to ship far, or parts specked into a customer's own product so switching is a pain. Ben Bryer's pin-gauge company is one of only a handful in the country, and its top customers haven't changed in decades. Regulation-driven, boring cash-flow niches round out the list: street sweeping on municipal contracts, hood cleaning, radon testing, ATM routes running at high margins with one employee.
Hear it from the operators
The hard ones
Which businesses tend to burn buyers?
The failures cluster around a few shapes, and they repeat often enough to trust. The biggest one is revenue that only looks steady. Project work, where every lead has to be won again, whipsaws cash even in a healthy business. Chandler Reed watched a retrofit business fall from $3m in 2022 to about $10,000 in a full quarter once rates froze construction.
Close behind is depending on someone else's platform or payer. Amazon, a YouTube algorithm, an insurance network, or a single large customer can move against you overnight. Joe Odell lost a $20m pharmacy when one drug's reimbursement was cut about 90% and wiped out the earnings his debt was built on.
Two more come up again and again. Very small deals, under roughly $250k of earnings, usually mean no management, no cushion, and total dependence on the owner. And labor-heavy, low-loyalty work (cleaning, staffing, anything w/ high turnover or crews that take clients when they leave) grinds down even good operators. Ayo Phillips watched a Houston resurfacing business spawn 19 former-employee competitors and lose half its sales in 18 months.
Hear it from the operators
Deal quality
What separates a good deal from a disaster?
The strongest through-line in the whole corpus: the structure and the seller matter more than the industry. Good businesses failed on bad structure, and ordinary businesses survived on good structure.
Seller character is the single best predictor. Generous, honest, staying-on sellers produced smooth transitions, and adversarial or dishonest ones produced most of the losses. Jed Morris studied 24 failed deals and found seller misalignment drove about 65% of them. The fixes are unglamorous and consistent: a real quality-of-earnings check (the "too small for a QoE" excuse precedes a lot of blowups), pre-close access to employees & customers, and enough working capital to survive year one. Joe Odell's line gets repeated more than any other, whatever you think you need, double it.
Then there is price discipline. The highest-return pattern is buying a growing business at a low multiple with heavy seller financing. David Graf bought a 30%-a-year grower at 2.7x; Greg Geronemus bought at about 5x with a 50% seller note and later sold for $67.5m. On the other side, too much debt is what turns one bad year fatal. Standby & forgivable seller notes show up over and over as the best way to keep a seller honest and claw value back if something was hidden.
Hear it from the operators
Search & financing
How do people find and finance these deals?
Two things separate searches that close from searches that drag: knowing your criteria before you start, and sourcing off-market. Sam Rosati calls fuzzy criteria the top reason a search stalls. On sourcing, the boring methods win. Hand-signed physical letters pull 10-15% response rates and cheap off-market deals, and cold calls beat the email flood. Brokered listings work too, they just come w/ more competition and higher prices.
On financing, most deals stack an SBA loan, a seller note, and the buyer's cash. Two rules come up constantly. Never sole-source your lender: Garth Fasano's only bank rejected the deal w/ no time left to shop, and other buyers called 20 to 30 banks. And treat the seller note as alignment, not just money. Kirk Olson saw four or five deals die because sellers demanded full collateral on their notes, while forgivable notes tied to customer retention quietly de-risked others.
The rules themselves keep moving. SBA changes in 2023 let sellers keep a slice of equity and cut how much cash buyers needed down. By 2026, a change barred green-card holders from SBA loans entirely and pushed some buyers fully non-SBA. Above the $5m SBA cap, independent-sponsor and family-office money has stepped in.
Hear it from the operators
The first year
What should you expect in the first year?
The near-universal advice is to change almost nothing for the first 6 to 12 months. Slow down to speed up. JD Beck changed software, pricing, systems, and location at once and nearly the whole team quit. Chad Hilderbrandt burned three months alphabetizing 150 fragrances the staff had already memorized by position. Matt Barnes made zero changes for six months to earn the right to be heard.
The exception is people. Key departures cluster in the first weeks, so lock in the one or two who matter before they walk. Chris Jones's general manager quit eight days after close, having quietly started a competing company. Get in front of your top customers right away too, especially in an asset deal where old relationships don't carry over on their own.
And come in as the hands-on operator, not the strategic visionary. Peter deBaptiste names that exact mismatch as his early mistake. Jordan Novgrod took every employee to lunch on day one, told them his life savings were on the line, and had zero turnover.
Hear it from the operators
Growth
How do you actually grow one of these?
The most reliable growth lever is almost embarrassingly boring: turn on digital marketing and digitize the pen-and-paper operations the prior owner ignored. Nathan Lenahan said simply answering the phones drove a record December. JD Hasley grew framing revenue 50% in year one on Google Ads at about $27 a lead. This shows up more than any clever strategy in the data.
Pricing is the other lever hiding in plain sight, and the constraint is usually timidity rather than the ceiling. John Hubbard raised prices 30-35% w/ no pushback. Doug Johns raised eight times in nine quarters without losing close rates. Most sellers had never tested what their customers would actually pay.
Two cautions. In people-heavy businesses, hiring is the real bottleneck, not demand, so treat good employees like customers and budget for turnover. And hire the manager you can't be earlier than feels comfortable. Corey Mullins thinks he would have grown twice as fast if he had stopped working 80-hour weeks and hired sooner.
Hear it from the operators
The market over time
How is ETA trending over time?
Across five years, the most durable finding is that multiples on small main-street deals barely moved. Buyers paid 2x to 4x earnings in 2022 and were still finding 1.5x to 3x deals in 2026, usually through off-market or stale listings. What changed is the spread. Private-equity roll-ups steadily bid up the popular trades, e.g. insurance brokerage climbing from about 6x to 10-12x, which pushes thesis-driven buyers into quieter niches like roofing and auto repair.
Interest rates are the bigger story. Cheap SBA debt in 2021 gave way to rates running from about 6% up past 11%, and seller price expectations never fell to match, leaving a stubborn gap between what buyers can pay and what sellers want. The SBA rules also became a live variable, loosening in 2023 and then, by 2026, barring green-card holders outright.
The "silver tsunami" of retiring boomers is real as a supply story and thin as quality deal flow. Millions of owners want out, but many run owner-operated jobs w/ little transferable value, so the wave is more raw material than easy opportunity.
Hear it from the operators
Tech & AI
Where does tech & AI really help, and where is it hype?
The corpus is unusually clear here, and the answer is unglamorous. The reliable tech edge is basic digitization and digital marketing, not AI. A CRM, online payments, field-service software, and a real website in a business that had none of them drives the biggest gains. Amir Haboosheh went from no website to more than 50,000 monthly visitors.
AI does earn its place in narrow spots, mostly cheap content and SEO. Aizik Zimerman used it to publish 5,000 SEO pages in a month while growing a plumbing business from $6m to $25m. The misfires are just as common, though: an offshore AI call desk that collapsed on real questions, roughly $1m lost trialing AI diagnostics, an internal "AI sales agent" that turned out to be a wrapper around email. One experienced holdco operator reordered his priorities to sales first, technology last.
By 2026, AI cuts both ways about as often as it helps. It threatens platform-dependent and asset-light service models, and some buyers now pick businesses specifically to stay far from it. Tom McCormick bought concrete cutting for exactly that reason. It is a useful tool, but not a thesis to bet the whole deal on.
Hear it from the operators
Hard-won lessons
What do experienced buyers wish they'd known?
A few reversals come up so often they are worth trusting. The loudest: buying small and safe is usually the riskier choice. Below roughly $250k of earnings there is no management and no cushion, so one broken machine or one lost person cascades. Several veterans say don't buy under $1m of earnings without deep operating skill. The honest counter-voice exists too, e.g. buyers who chose small on purpose to cap the downside, so decide which risk you are actually optimizing for.
Two more. Suspiciously high margins, 50% and up, are often a warning rather than a prize, because they usually mean the business is really the owner's job. And selling early turns out to be a more common regret than holding too long, w/ several operators now aiming for holds of 20 years and beyond.
The part that gets left off the highlight reel is the personal cost. Reg Zeller named the "3am bathroom-floor" low point most new owners hit around month six. Others describe panic attacks, stroke-level blood pressure, and in the worst case a Chapter 7 that followed an SBA personal guarantee. The people who came through it built a peer group before the crisis, not during it.
Hear it from the operators
Every base rate here is conditioned on operators who came on the podcast. The lessons are real; the odds are rosier than reality. Weight the failures accordingly.
