Latest / The Buyer & Seller Podcast with Fexingo: Business Brokers, Exits, and Private Sales Explained / Why a Landscaping Business Sold at 45x EBITDA with Seasonal Data
Transcript
- Lucas: So there's a landscaping company in the Pacific Northwest — call it GreenScape Pro — that sold earlier this year for a multiple that raised some eyebrows in the broker community. We're talking 45 times EBITDA. Luna: Forty-five times? For a landscaping business? That's more than a lot of software companies get. Lucas: Exactly. And when I first saw the deal sheet, I thought there had to be a misprint. But the more I dug into it, the more it made sense. The seller had been running this business for 18 years, and for the last 10, he'd been meticulously tracking every route, every service call, every weather delay. Luna: So the data was the asset, not just the trucks and the mowers. Lucas: That's exactly right. The buyer was a private equity roll-up platform that already owned lawn care companies in four other states. They weren't buying GreenScape Pro for its equipment or its customer list alone. They were buying a decade's worth of operational data that they could plug into their other portfolio companies to optimize routing, staffing, and pricing. Luna: Walk me through what that data actually looked like. Because I imagine a lot of landscapers keep records, but this must have been next-level. Lucas: He had a spreadsheet—actually, it started as a simple log in a notebook, but over time he digitized everything. For each of his 1,200 recurring maintenance clients, he recorded the date of every visit, the time spent, the crew size, the weather conditions, and any special requests or issues. He also tracked when clients called to cancel or reschedule, and why. Luna: That's a lot of granularity. Did he also track seasonality — like when the first frost hit, or when the spring rush started? Lucas: Yes, and that's the part that really moved the needle. He'd built a predictive model—nothing fancy, just a set of pivot tables and trend lines—that showed the probability of a service interruption based on the forecast. So when a storm was coming, he could proactively re-route crews to avoid gaps. That predictability was gold to the buyer. Luna: I can see why. If you're rolling up 20 landscaping companies, you want to know that the aggregate revenue is going to be stable even if one region gets a weird rainy season. Lucas: And that's exactly the thesis. The buyer valued the data at nearly $2 million on its own, separate from the hard assets. The physical equipment and the customer relationships were maybe worth another $3 million. But the total deal was $5 million on about $110,000 of EBITDA. That's where the 45x comes from. Luna: So the EBITDA itself was relatively modest — $110,000 — but the multiple was huge because of the data premium. That's a really important distinction. Lucas: Right. If you just look at the EBITDA multiple in isolation, it sounds like an absurd valuation. But the buyer wasn't buying the current earnings stream; they were buying the information that would let them double earnings across the entire platform. The data was a force multiplier. Luna: How did the seller originally get into the habit of tracking all this? That's not typical for a small business owner. Lucas: I asked the broker that same question. Apparently the owner had a background in logistics before he started the landscaping company. He used to dispatch trucks for a regional freight hauler. So he thought in terms of routes, utilization rates, and downtime from the very beginning. Most landscapers think of themselves as service providers, but he thought of himself as an operator of a route network. Luna: That mindset shift seems like the real differentiator. And it's something any service business owner could adopt, right? You don't need a logistics background to start tracking your own data. Lucas: Absolutely. You can start today with a simple Google Sheet. Track your jobs, your time, your cancellations. Do it for six months and you'll already have more data than 90 percent of your competitors. The question is whether you view that data as a chore or as an asset that you're building for a future exit. Luna: And in this case, it paid off in a big way. I wonder how common these data-driven premiums are becoming in Main Street M&A. Lucas: They're becoming more common, but they're still the exception. Most brokers will tell you that the average multiple for a landscaping business is somewhere between 3 and 6 times EBITDA. So 45x is an outlier. But what I'm seeing is that buyers—especially the private equity roll-up funds—are starting to pay a premium for businesses that can demonstrate predictability through data. Luna: So if a listener is thinking about selling in the next three to five years, what's the one piece of data they should start collecting today? Lucas: I'd say customer retention rate by season, and the reasons for churn. If you can show that your churn rate is stable or improving even during slow months, that's a powerful signal. And if you can tie it to external factors like weather or economic conditions, even better. The buyer wants to know that the business isn't a gamble. Luna: That's really practical advice. And it reminds me of something we touched on in the vending machine episode—the cash flow data was key there too. But here, it's the seasonal predictability that seals the deal. Lucas: Exactly. And that's the thread that runs through a lot of these high-multiple deals. It's not about having the most revenue or the fanciest equipment. It's about proving to a sophisticated buyer that your business behaves in a predictable way. Once you can do that, you're not just selling a business anymore—you're selling a model. Luna: A model that can be replicated across other markets. That's a much bigger story than 'I own a landscaping company.' Lucas: And that bigger story is what commands the premium. If these conversations have moved your work forward in some small way, a couple of dollars a month is genuinely what keeps these going. Buy me a coffee dot com slash fexingo, if you've gotten something out of them. Luna: Yeah, it really does make a difference. And we keep the show ad-free because of it. Lucas: Alright. So back to GreenScape Pro. The broker I spoke with said the due diligence phase was actually faster than usual because the seller's data was so clean. The buyer's team was able to model the integration in about two weeks, instead of the typical six to eight weeks. Luna: That's a huge time saver. And time is money in M&A, especially when you're dealing with a competitive bidding process. Lucas: Yes. And in this case, there were actually three bidders. The first two were smaller local competitors who offered around 5 to 6 times EBITDA. The third was the PE platform that offered the 45x. The seller almost went with the local buyer because the process felt more familiar. But his broker convinced him to take the data-driven approach and present the asset as a platform play. Luna: So the broker played a key role in shaping the narrative. That's a good reminder that not all brokers are equal when it comes to positioning a data-rich business. Lucas: Absolutely. The broker in this case specialized in service businesses and had sold a few landscaping companies before. He knew which buyers would value the data. He didn't just put the business on the market; he curated the buyer list. Luna: And the result was a life-changing exit for the owner. What's he doing now? Lucas: He actually stayed on as a consultant for the first year to help integrate the data systems. After that, he's planning to start a small data consulting firm for other service businesses. So he's essentially taking the asset that made him money once and turning it into a new business. Luna: That's a great coda. He's not just cashing out; he's doubling down on the data idea. Lucas: Exactly. And I think that's the takeaway for anyone running a service business today. The most valuable thing you own might not be the equipment, the brand, or even the customer list. It could be the information you've been collecting all along—if you've been smart enough to keep it. Luna: And if you haven't started yet, today's the day. Even a simple log can become a competitive advantage in a few years. Lucas: That's the episode. Next time we're going to look at a niche manufacturing business that sold at 30 times EBITDA because of a proprietary material formulation. It's a different kind of data advantage, but the principle is the same. Luna: Looking forward to it. Thanks, Lucas.