A PE-backed operator sits in a board meeting reviewing a $5M EBITDA projection. The numbers are good. The business is healthy. The conversation turns, as it eventually does, to exit. Someone says, "We'd probably get five, maybe six times." Heads nod. The meeting moves on.
Nobody in the room questions the number. And the question they are not asking is the one that determines whether they leave $25M on the table.
That is not a rhetorical figure. On a $5M EBITDA base, the gap between a pure-service exit and a platform exit is, at the midpoint, roughly $25M in proceeds to the same shareholders selling the same business. The decision that opens or closes that gap is usually made years before anyone retains a banker, and most operators never realize they made it.
Start with what the market actually pays. Take commercial cleaning and facility services, an $80 billion to $100 billion category split among more than fifty thousand mostly small operators. A mid-market janitorial business with $500K to $2M of EBITDA clears 4 to 6x. A larger multi-market or specialty operator in the $2M to $10M range reaches 5 to 8x, and a book concentrated in one or two anchor customers can fall to 3 to 4x.1,2 These are good businesses with real cash flows, and the market prices them in a tight, predictable band.
Now look at where platform businesses with recurring subscription revenue trade. At the $5M to $10M enterprise value range, the band is 8 to 11x EBITDA. Move up to $10M to $25M and it widens to 10 to 13x.3 Same lower middle market, often the same financial sponsors, and roughly double the multiple.
The instinct is to attribute this to industry. Software is hot, services are not, end of analysis. That instinct is wrong, and getting it wrong is expensive. The 8 to 12x range is the price of a revenue model. What triggers the premium is contractual, recurring revenue that does not depend on any individual relationship to renew. A services business that builds a genuine subscription layer and can document recurring revenue at exit does not get a polite bump inside the services band. It crosses into a different valuation category entirely.
Scale is one way to get there. A roll-up can reach the same multiples by buying dozens of competitors, though that is a different undertaking with a different cost and timeline. For a single operator, the lever is the revenue model.
Put the number back in front of the board. Pure-service midpoint at 5x: a $25M exit. Platform midpoint at 10x: a $50M exit. The difference is $25M, and depending on where each transaction clears within its band, the spread runs anywhere from $10M to $40M. This is the single largest value-creation lever available to most PE-backed operators, and the majority of them have not pulled it.
Here is the part that matters, because it explains why the premium is structural rather than fashionable. The acquirer is not buying your revenue. They are buying your revenue's growth curve.
A services business dependent on key relationships and individual production has a growth ceiling built into its structure. Adding revenue means adding people, and adding people means adding cost and risk. The curve flattens because the model makes it flatten. A platform with recurring subscriptions behaves differently. Revenue compounds on the installed base, and margins widen as that base grows. Acquirers underwrite these two profiles with entirely different models, and the multiple is simply the output of that math. They are paying more for the compounding curve because the compounding curve is worth more.
There is a second mechanism, and it is at least as powerful. A pure-service operator attracts a narrow set of buyers: traditional PE and a handful of sector consolidators, all of whom value the business the same conservative way. A tech-enabled platform attracts a fundamentally larger and more competitive pool. Software-focused PE, SaaS holding companies, strategic acquirers seeking proprietary capability, and growth equity all become credible bidders. None of them would have looked twice at the business in its service-only form. Competition between buyer types creates pricing tension that no single buyer type produces alone, and you cannot manufacture that tension after the fact. The platform is what summons the crowd.
This is not a niche preference among a few enthusiastic funds. Technology accounted for 23% of all US PE deployment by value in 2024, up from 21% the year before,4 and rose to roughly 30% of global deployment in 2025.5 PE buyers were involved in nearly 58% of all SaaS M&A transactions in 2025, one of the most sponsor-heavy years on record.6 The software that runs these very industries is itself a magnet for that capital: the field service management software market stood at roughly $5 billion in 2025 and is projected to reach $9 billion by 2030.7 Capital has been reallocating toward recurring-revenue platforms for several years now, and the shift looks structural. Operators who own one are selling into that demand.
The largest sponsors run this playbook on purpose. When KKR acquired the home-services platform Neighborly, it named the tech-enabled platform itself as the differentiator behind the deal.8 The same logic drives the biggest outcomes in adjacent services: Roark Capital grew the cleaning and facility-services franchisor ServiceMaster Brands from a $1.55 billion purchase in 2020 toward more than $5.5 billion in enterprise value, and in 2026 Apollo took a minority stake in the HVAC and plumbing consolidator Apex Service Partners at a $10 billion valuation.9 Those are partly scale stories, but the underwriting logic is the same one that prices a single operator. McKinsey finds that services businesses crossing a growth-and-efficiency threshold see their revenue multiple roughly double versus otherwise-similar peers, and across thousands of services transactions the low-growth and sub-scale operators cluster near 6x EBITDA while the high-growth, efficient profile commands 12 to 14x.10,11 What the market prices is the revenue profile underneath the industry label.
For most of the last decade, the reason operators did not build a platform was simple: it was expensive and slow. A serious build ran $700K to $1M and took twelve to eighteen months, which is a hard capital decision to defend when the exit is already in view.
That economics has changed materially. AI has compressed both the cost and the timeline of platform development, and what used to take twelve to eighteen months can now be delivered in roughly six at a fraction of the prior cost. That compression is the opportunity. It is also the warning. The same drop in cost that lets you build a platform lets your competitors build one too, including the ones who could never previously justify it. The first-mover advantage is real today and will not survive the field catching up.
None of this makes the platform a guarantee. The 8 to 12x multiple has to be earned. It requires demonstrated operational adoption and documented, contractual recurring revenue by the time a buyer's diligence team arrives, and that takes time to build and to prove. This is where the exit horizon becomes decisive. A business that begins building eighteen to twenty-four months before a planned process has room to drive real adoption and accumulate a clean record of recurring revenue metrics before anyone runs technical diligence. A business that waits until six months out has a prototype and a story, which is not what the premium pays for.
So return to the board room and the $5M projection. The question on the table was never whether technology is "right" for this kind of business, and it was never about engineering. The question is narrower and sharper than that. Do you want the acquirer paying for your history or for your growth curve? Those are different prices, separated by something close to the entire value of the business a second time over.
The business is worth 5 to 6x today, and that is a real achievement worth defending. The point is simpler. An additional $25M is sitting on the table, and whether anyone picks it up is decided long before the sale process begins. It comes down to whether you own a platform when the buyers show up.