For two decades the script for taking a tired public company private was predictable. A buyout fund paid a premium, loaded the business with debt, cut costs and sold it within five to seven years. Thrive Holdings’ $15.3 billion agreement to buy ADT suggests the script is getting a rewrite.
Thrive Holdings is not a fund with a clock. It is a permanent-capital company spun out of a venture firm, partnered with an AI developer, that buys businesses in industries like accounting and IT services and embeds engineers to change how the work is done. It now owns more than 75 such companies. ADT, with its 12,000 employees and millions of monitored homes, will be by far the largest.
Patience is a pricing advantage
The 45.6% premium Thrive is paying is generous by any measure. A buyer that never has to sell can justify it differently from one that needs an exit. It doesn’t need to time a resale market or an IPO window; it needs cash flow to cover its financing and enough operating improvement to compound over decades. That is a real edge in auctions against private-equity sponsors whose models are built around a fixed holding period.
It is also a different bet for the lenders. The ADT financing comes entirely from funds managed by Apollo, a reminder that private credit is now willing to underwrite not just leverage but a technology thesis. If AI tools reduce false alarms, speed service calls and keep subscribers from cancelling, the math works. If they don’t, the debt remains.
What shareholders should demand
None of this makes permanent capital a better owner by default. Public shareholders selling to these buyers are giving up any share of the upside from the technology story they are being told. That is why the 30-day go-shop in the ADT agreement matters, and why boards should welcome rival bids rather than treat them as a nuisance. This week’s Monomoy offer for LCI Industries showed how quickly a cash bidder can reset expectations for a deal that looked settled.
Expect more of these transactions. Plenty of public companies trade at low multiples because investors doubt they can adapt to AI. Owners who claim they can do that adapting from the inside, without a deadline, now have the capital to buy them. The test will come in a few years, when the margins either show it or they don’t.
