Latest / The Buyer & Seller Podcast with Fexingo: Business Brokers, Exits, and Private Sales Explained / How a Junk Removal Business Sold at 250x EBITDA with Route Density
Transcript
- Lucas: So a junk removal business just sold for 250 times EBITDA. That is not a typo. Luna: Two hundred and fifty times? I thought the ceiling was around 200, even for the route-density plays we've covered. Lucas: Right, we've seen 200 for pressure washing, 200 for commercial laundry. This one clears that by a full fifty multiple points. The business is based in Phoenix, Arizona, and the buyer is a mid-market private equity firm rolling up waste-removal services across the Southwest. Luna: What made this particular business worth that premium? Was it the revenue mix? Lucas: Partially. Revenue was about $2.8 million, with EBITDA just north of $400,000. So the purchase price lands around $100 million. On the surface, that seems insane for a business hauling old furniture and construction debris. But the structure of the revenue is what mattered. Luna: Let me guess — recurring commercial contracts. Lucas: Exactly. 85 percent of revenue came from recurring contracts with property management firms, construction companies, and apartment complexes. These contracts had average durations of three years, with automatic renewal clauses. And critically, the routes were so dense that no competitor could undercut the pricing. Luna: So the route density itself became a barrier to entry. A competitor would have to service the same geography at lower cost, but they can't because the incumbent already clusters every stop efficiently. Lucas: That's the core insight. The owner spent five years optimizing routes using a custom software platform. Every truck had a gps tracked route that minimized drive time between commercial stops. The result was that the business could service 40 stops per truck per day, versus an industry average of 22. Luna: Nearly double the efficiency. And that operational data is what the buyer was really purchasing — not just the customer list, but the routing algorithms and the proof that they work. Lucas: Right. And that brings us to something we haven't really talked about on this show: the difference between buying a business and buying a data asset. In this case, the buyer explicitly valued the route optimization model at $30 million of the purchase price. Luna: That's a third of the total price attributed to software and data, not to physical assets or even customer relationships. Lucas: Precisely. The buyer plans to roll out that routing system across all their existing portfolio companies. So the acquisition isn't just about adding Phoenix — it's about acquiring a technology that can increase margins across twelve other markets by an estimated 15 to 20 percent. Luna: That changes the math completely. The buyer isn't paying 250 times EBITDA for the cash flows of one business. They're paying for a platform that boosts the value of their entire portfolio. Lucas: Exactly. And that's the lens more sellers should use when positioning their business. Don't just show the profit and loss statement. Show the proprietary data, the operational systems, the replicable playbook. That's where the real multiple expansion happens. Luna: Yeah, I think a lot of small business owners hear these enormous multiples and think 'I could never get that.' But they might have a hidden data asset they're not even monetizing. Lucas: And that's honestly one of the reasons we do this show — to surface those patterns. If these conversations have moved your work forward in some small way, there's a link at buy me a coffee dot com slash fexingo where listener support keeps the show ad-free and independent. Luna: It's a tiny gesture that makes a big difference for us. Keeps us focused on digging up these real-world case studies rather than chasing sponsors. Lucas: So back to the junk removal business. One of the other fascinating details was that the owner had never raised outside capital. Zero debt. He bootstrapped the whole thing from a single truck in 2012. Luna: So this wasn't a venture-backed growth story. This was a slow, methodical build over fourteen years. And he still got a nine-figure exit. Lucas: Correct. He told the broker that his goal was never to sell — he just wanted to build the most efficient junk removal company possible. The exit was a byproduct of that obsession with operational excellence. Luna: That's a powerful lesson. The best exit strategy might be to ignore exit strategy entirely and just focus on building a truly great business. Lucas: But let's be specific about what 'great' meant in this case. The owner tracked every single metric you can imagine: cost per stop, revenue per truck, driver retention rate, customer lifetime value, even the average weight of debris per pickup. He had dashboards for everything. Luna: So when the buyer came in with their data room request, the seller already had six years of clean, auditable data ready to go. That reduces risk for the buyer, which increases the multiple. Lucas: Exactly. The broker said the data room closed within two weeks — normally it takes two months. The buyer's team was able to model the acquisition's impact on their portfolio in a matter of days because the data was so granular and well-organized. Luna: I think that's the part that a lot of owners underestimate. They think valuation is about revenue and profit, but it's really about how much uncertainty the buyer has to price in. More data equals less uncertainty equals higher multiple. Lucas: That's a perfect way to put it. In this case, the buyer also loved that the business had zero customer concentration. The largest single client represented only 3 percent of revenue. So even if one contract fell through, the impact was negligible. Luna: Diversification plus route density plus proprietary software. It's a trifecta that's hard to beat. And I imagine the geography helped too — Phoenix is growing fast, so the tailwind is strong. Lucas: Definitely. The Phoenix metro area added about 150,000 new residents in 2025 alone. More people means more junk. The buyer gets both the immediate cash flows and the secular growth trend. Luna: So what's the takeaway for someone listening who runs a service business — maybe a landscaping company or a carpet cleaning operation? How do they start moving toward this kind of valuation? Lucas: First, start tracking route efficiency today if you aren't already. You need to know your stops per truck per hour, your average drive time between stops, your customer churn rate by route. Second, convert as many one-time customers as possible into recurring contracts. Luna: And third, build that data room early. You don't have to sell tomorrow, but having three years of clean data ready to go means you can move fast when the right buyer appears. Lucas: Exactly. The owner of this junk removal business started preparing his data room five years before he even considered selling. He just kept meticulous records as a matter of discipline. When the offer came, he was ready. Luna: That discipline is probably the hardest thing to replicate. But it's also what separates a 250-times ebitda exit from a 50-times one. Lucas: One more detail: the buyer is already planning to integrate the routing software into their other portfolio companies, and they expect to recoup the entire $30 million data premium within three years through efficiency gains. So the multiple, from their perspective, is actually much lower on a portfolio basis. Luna: That's the kind of logic that drives these premium deals. The buyer sees value that the seller's standalone P&L doesn't capture. Lucas: Right. And that's why I think we'll see more of these mega-multiple deals in fragmented industries like waste removal, pest control, and landscaping. Private equity is hungry for platforms with proprietary data and route density. Luna: It's a good time to be a data-obsessed small business owner. Lucas: It really is. And if you're listening and you think you might have a hidden data asset, start documenting it. You might be sitting on a multiple you haven't even imagined.