Latest / The Buyer & Seller Podcast with Fexingo: Business Brokers, Exits, and Private Sales Explained / Why a Mobile Car Detailing Business Sold at 150x EBITDA
Transcript
- Lucas: Luna, I want to talk about a deal that, at first glance, looks like a typo. A mobile car detailing business — one van, one employee, the owner does the billing part-time from home — sold for thirteen point five million dollars. Luna: Thirteen and a half million for a mobile detailer? That's a lot of microfiber towels. Lucas: It is. But here's the number that broke my brain: that purchase price represented a hundred and fifty times EBITDA. The business was generating about ninety thousand dollars in annual owner-adjusted profit. Luna: Wait — so the buyer paid roughly a hundred and fifty years' worth of earnings? That's not a valuation, that's a museum piece. Lucas: It's the kind of multiple you normally see for a hyper-growth software company with net revenue retention above a hundred thirty percent. Not a van that washes cars in parking lots. But the buyer — a small family office out of Dallas — didn't think they overpaid. And I think they might be right. Luna: You're going to have to walk me through the math. How do you justify a 150x multiple on a ninety-thousand-dollar EBITDA? Lucas: It starts with the subscription model. This wasn't a pay per wash operation. The business had roughly four hundred and fifty customers, and three hundred and eighty of them were on a monthly subscription plan. Thirty-nine dollars per month, unlimited exterior washes on a four-week rotation. Luna: So recurring revenue. But still, that's about two hundred thousand dollars in annual subscription revenue. EBITDA was ninety thousand, so margins are tight. Lucas: Right — the margin story isn't great. But the buyer wasn't buying the margin. They were buying the customer base. Here's the key insight: those three hundred and eighty subscribers had an average tenure of twenty-seven months. Churn was under two percent per month. The buyer calculated that the lifetime value of each subscriber, net of costs, was about four thousand dollars. Luna: Four thousand per subscriber times three eighty is one point five two million in lifetime value from the existing base alone. That already justifies more than the purchase price. Lucas: Exactly. And that's before any growth. The buyer believed they could double the subscriber count within eighteen months just by cross-selling to the existing pay per wash customers and running targeted Facebook ads in the same two zip codes. The route density was already there — the detailer serviced a compact geographic area. Adding customers barely adds marginal cost. Luna: So the buyer effectively paid thirteen million for a customer acquisition engine that was already proven. The business itself was almost incidental. Lucas: That's the framework. The seller — a guy named Josh — had built the subscription system over four years. He started with a single van and a clipboard. He didn't have a fancy CRM. He used a Google Sheet and a Square subscription. But the data was pristine. He knew exactly when each customer joined, how many washes they'd had, and when they'd last churned and come back. Luna: And that data — the subscription tenure, the low churn — that's what the family office valued. Not the washing equipment. Lucas: Precisely. The EBITDA multiple is a red herring in this case. The buyer used a different lens: they looked at the subscriber base as a portfolio of recurring cash flows. They applied a discount rate to those cash flows based on the churn rate, and they arrived at a present value of about fourteen point two million. They negotiated down to thirteen point five. Luna: So they actually bought it below their own calculated intrinsic value. That's disciplined. Lucas: Very disciplined. And they structured the deal with an earn-out. Josh gets eight million up front, and the remaining five point five million is tied to subscriber retention over the next three years. If churn spikes, he doesn't get the full amount. Luna: That aligns incentives. Josh can't just take the money and walk. He has to help transition the relationship with those customers. Lucas: Which is exactly what the buyer wanted. And this is where the deal gets really interesting from a broker's perspective. Josh's business wasn't particularly profitable. It wasn't scalable in a traditional sense — there's a physical limit to how many cars one van can wash. But the buyer wasn't scaling the van. They were scaling the subscription list. Luna: So the buyer's plan is to keep Josh's van running as the core, but then add additional vans under the same subscription model? Or do they intend to license the model? Lucas: From what I've heard, they plan to open a second territory in a neighboring suburb with a new van and a new detailer. Same pricing, same subscription structure, but they'll use Josh's existing customer service playbook. They think they can replicate the subscription density because the demographics are nearly identical. Luna: So the real asset Josh sold was the operating playbook plus the customer data. The van was just a prop. Lucas: Exactly. And that's the lesson for small business owners listening. If you're running a service business — any service business that can be subscriptionized — the value isn't in your equipment or your revenue. It's in the recurring relationship with customers who stick around. Luna: But how do you prove that stickiness? Josh had twenty-seven months of tenure data. Most small businesses don't have that kind of clean history. Lucas: That's the second lesson. Josh started tracking subscriber tenure from day one. He didn't wait until he was selling. Every month he'd update his spreadsheet. When the broker came in, Josh could show a churn curve that was flat after month six. That's gold to a buyer. If you're running a subscription business and you're not tracking cohort retention, you're leaving millions on the table. Luna: If these conversations have moved your work forward in some small way, I know it helps Lucas and me to hear that. This show stays ad-free, and listener support is what makes that possible. If you've gotten a useful idea from a case study like this one, you can throw a few bucks into the tip jar at buy me a coffee dot com slash fexingo. No pressure, no perks — just helps keep the lights on. Lucas: Yeah, and honestly, it's the kind of thing that lets us keep digging into deals like Josh's. These cases take hours to research. So if you've found value, that link is there. Anyway — back to the numbers. The earn-out structure in Josh's deal had a specific trigger: if subscriber count in the original territory drops below three hundred at any point during the three-year earn-out, the remaining payments get cut by fifty percent. Luna: Fifty percent haircut. That's a strong incentive to keep customers happy. What happens if he loses a major client — say a corporate account with fifty vehicles? Lucas: That's the risk. But Josh's book was almost entirely residential. The largest single account was a family with three cars. So the churn risk is granular — losing one customer barely moves the needle. The buyer liked that. They said the biggest risk was that Josh would neglect the business after the sale, not that a single event would tank retention. Luna: So the earn-out is really just a retention bonus. And at ninety thousand EBITDA, Josh's cash flow was modest. But with eight million up front, he's set. The earn-out is gravy. Lucas: Right. And this is where the story gets uncomfortable for some people. Josh's business wasn't particularly innovative. He didn't have an app. He didn't use AI scheduling. He just showed up consistently and billed monthly. And he walked away with eight million dollars. Meanwhile, a lot of tech startups with eight-figure funding rounds can't get a buyer at any multiple. Luna: It does make you question what we really value in this economy. A subscription to a mobile car wash — something that's essentially a luxury convenience — generated more enterprise value than many software products. Lucas: Because the unit economics were real. The buyer could model the cash flows with confidence. Software startups often have high churn and uncertain growth. Josh's business had low churn and predictable retention. Predictability is worth an enormous premium. Luna: So if you're a small business owner listening, what's the one action you should take after hearing this? Lucas: Start tracking your repeat customer rate by cohort. If you can show that customers who've been with you for twelve months have a ninety percent likelihood of staying another twelve, you have a valuable asset. You don't need a hundred and fifty times EBITDA. Even twenty times is life-changing for most small businesses. Luna: And that's something any owner can do starting today. Doesn't take a spreadsheet wizard. Lucas: Nope. Just a commitment to writing down the numbers. Josh did it in a Google Sheet. The buyer called it the most valuable document in the deal. Luna: Alright, I'm going to start tracking my own subscriptions more carefully. Maybe not car washes, but the principle applies across the board. Lucas: That's the takeaway. For next time, I want to look at a business that sold at a negative multiple — a company that was losing money but still commanded a premium because of its intellectual property. That one's a head-scratcher. Luna: I'm already skeptical. But I'll save my judgment until I hear the numbers.