Latest / The Buyer & Seller Podcast with Fexingo: Business Brokers, Exits, and Private Sales Explained / How a Courier Route Sold at 40x EBITDA with Density Data
Transcript
- Lucas: Luna, I want to walk through a deal that closed last quarter — a small courier route in suburban Atlanta. The seller was a former UPS driver who started his own last-mile operation. Covers about 12 square miles. He sold it at 40x EBITDA. Luna: Forty times? For a courier route? We've talked about route businesses before — pool services, dry cleaners — but 40x is above what we saw there. Lucas: It is. And the interesting part is what the buyer was really paying for. The buyer is a regional logistics consolidator — they already had routes in adjacent counties. They didn't buy this for the delivery contracts alone. Luna: What did they buy then? Lucas: They bought the data. The route had been running the same 140 stops daily for over six years. The seller logged everything — not just addresses, but optimal sequencing, access codes, gate codes, preferred drop-off spots, signature patterns. It was a dataset showing exactly how to serve that territory with maximum efficiency. Luna: So the route itself was almost secondary to the information about how to run it. Lucas: Exactly. The buyer already had customers in neighboring areas, but their drivers were spending extra time figuring out each stop. This route's data cut their onboarding time for new drivers from three weeks to about four days. That's a direct cost saving. Luna: And that drove the multiple up. How did the seller end up with that data? Was he just meticulous? Lucas: He was, but he also didn't realize it was valuable until a broker pointed it out. The seller had been keeping a handwritten logbook — start time, finish time, which stops had issues, which ones had dogs, which ones required a signature. After year three, he digitized it because he wanted to analyze his own efficiency. He built a simple spreadsheet that the broker later called 'the crown jewel of the deal.' Luna: I love that — something he thought was just a personal record turned into the main asset. Lucas: Right. The broker ran a parallel valuation: one based on the delivery contracts alone, which were month to month with no long-term lock-in — that came in around 8x EBITDA. Then a second valuation factoring in the data and the route density — that hit 40x. The buyer didn't blink at the premium. Luna: So the contracts alone weren't the recurring revenue we usually look for. The recurrence was in the daily habit of the route itself. Lucas: Exactly. Those 140 stops had been happening five and sometimes six days a week for years. Recipients expected the delivery. The route had become part of the local logistics infrastructure. That's stickier than any contract. Luna: And the density — 12 square miles is tiny for 140 stops. That's about 11 stops per square mile. Compare that to a national carrier like FedEx Ground, which might average two or three stops per square mile in suburban areas. Luna: If today was actually useful to you, the way these stay ad-free is listener support — buy me a coffee dot com slash fexingo. Lucas: Yeah, it's a small thing that keeps the show independent. We don't run ads, so it's just listeners who find value chipping in. Appreciate it. Lucas: Back to the courier route — the broker told me the buyer ran a pro forma based on that density. They calculated that if they could replicate the same density across three more territories by merging this data with their existing routes, they could reduce total fleet miles by about 18 percent within two years. Luna: So the data wasn't just about this one route — it was a template for optimizing the whole network. Lucas: Precisely. And that's why the multiple went beyond what we normally see for route businesses. The buyer wasn't buying cash flow; they were buying a playbook. In the due diligence, the buyer's operations team spent more time on the spreadsheet than on the financial statements. Luna: I want to contrast that with the pool service route we covered in episode 78. That sold at 35x EBITDA, also with route data. But the data there was about service schedules and chemical usage. Here it's about delivery patterns and access constraints. Both are about reducing friction. Lucas: Right. And in both cases, the seller didn't initially flag the data as a separate asset. The pool service owner had a binder with hand-drawn maps. The courier owner had a spreadsheet he'd built to track his own time. The broker's job was to recognize that those operational artifacts had independent value. Luna: So for a business owner listening — what's the takeaway? Start documenting your operations in a structured way, even if you don't plan to sell for years. Lucas: I'd go further. Don't just document it — analyze it. Look for patterns. The courier owner noticed that certain stops were consistently faster in the afternoon because of traffic patterns. That insight became part of the data package. The buyer saw that and thought, 'We can optimize our entire afternoon dispatch around this.' Luna: So the value is in the analysis, not just the raw logs. Lucas: Exactly. A logbook is useful. A logbook with annotations and improvement suggestions is an asset. The seller spent maybe 15 minutes a week on that spreadsheet. That 15 minutes a week translated into millions of dollars in extra sale proceeds. Luna: We should talk about the buyer side too. Who buys a courier route at 40x EBITDA? That's not a typical small business buyer. Lucas: It's not. The buyer was a mid-sized logistics firm backed by a private equity group that specializes in last-mile consolidation. They've been on an acquisition spree — this was their seventh route purchase in the Atlanta metro area in 18 months. They're trying to build a dense network that can compete with the big nationals on speed and reliability. Luna: So the consolidation trend is driving multiples up for these hyper-local route businesses. Lucas: It is. And it's not just courier routes. We're seeing similar dynamics in medical waste pickup, uniform rental, even vending machine restocking. Any business that has a regular, predictable physical presence in a concentrated area is attracting interest from larger players who want that density data. Luna: But if you're a small operator, how do you get in front of those buyers? The courier owner didn't have a banker shopping the deal. Lucas: He worked with a broker who specialized in logistics. That broker had relationships with the consolidators. The broker knew that this particular buyer valued route density above all else, so they positioned the data front and center in the offering memo. They didn't lead with 'courier route for sale' — they led with '140-stop, six-year dataset with 97 percent on-time delivery rate.' Luna: That framing changed the whole conversation. Instead of a small business, it became a data asset with a delivery operation attached. Lucas: Exactly. And that's the lesson for owners of any route-based business: think about what your daily operations generate beyond revenue. Are you building a map of customer behavior? Are you tracking preferences, timing, access issues? If you are, that information has a buyer. And that buyer might pay a multiple that surprises you. Luna: One more thing — the courier route owner was a former UPS driver. Did his background help him build that efficient route? Lucas: Absolutely. He told the broker that at UPS, route optimization is drilled into drivers from day one. He applied those principles to his own business without even thinking about it. When he started, he mapped the territory by hand, test-drove different sequences, and iterated until he found the fastest loop. That discipline created the data asset. Luna: So the best route operators might not even realize they're sitting on something valuable. They're just doing their job well. Lucas: That's often the case. The broker said the seller initially laughed when they mentioned the data might be worth something. He said, 'It's just my driving log.' But that driving log, properly packaged, was the reason the deal closed at 40x instead of 8x. Luna: Makes you wonder what other small business owners have in a drawer or a spreadsheet that they're undervaluing. Lucas: It's a good question to sit with. Next episode, I want to look at a completely different kind of data — a niche software company that sold based on user behavior patterns rather than revenue. That one might surprise you too.