NextFin News - Thoma Bravo is buying software companies that customers cannot easily quit. Since mid-2025, the world's largest software-focused private equity firm has committed more than $27 billion to take-privates united by a single thesis: when the market panics about artificial intelligence, the safest assets are mission-critical, compliance-heavy systems with next year's revenue already locked in under contract. The strategy, which the firm frames as a "customer bear hug," is less about hostile tactics than about owning the software nobody dares to turn off.
The Deal Slate Is a Checklist of Unfireable Software
The acquisitions read like a map of enterprise workflows where failure carries consequences. In February 2026, Thoma Bravo closed its $12.3 billion take-private of Dayforce, the human-capital management platform, anchored by a minority investment from the Abu Dhabi Investment Authority — payroll, benefits, and workforce compliance for thousands of employers. In June 2026 it completed the $10.55 billion purchase of Boeing's Digital Aviation Solutions business, taking Jeppesen, ForeFlight, AerData and OzRunways private in an all-cash deal that Boeing said strengthens its capital structure; flight-navigation data does not become optional when sentiment sours. It took Olo, the restaurant ordering and payments platform, private for approximately $2.0 billion in equity value at $10.25 per share, with shareholders approving the transaction on September 9, 2025 before it closed three days later. It agreed to buy Verint, the customer-experience automation vendor, for about $2 billion, merging it with portfolio company Calabrio at an 18% premium to Verint's 10-day volume-weighted average price. And on August 11, 2026, it completed the C$650 million acquisition of Kneat, the life-sciences digital validation specialist, paying C$6.50 per share — a 40% premium to the unaffected price.
The common denominator is not sector, size, or geography. It is customer captivity. Each target embeds itself in workflows where errors invite regulatory scrutiny, safety incidents, or operational breakdown: payroll compliance, aviation safety, restaurant order fulfillment, contact-center recording, drug-manufacturing validation. Switching costs are high. Contracts are multi-year. Renewals are habitual rather than discretionary. That is the bear hug — a grip on the customer base durable enough to survive both an AI panic and a private equity holding period.
Managing partner Holden Spaht quantified the opportunity at the firm's annual limited partner meeting in Miami in March 2026. Public SaaS companies grew revenue at 17% last year with gross margins of 74%, yet the iShares Expanded Tech-Software Sector ETF (IGV) was down roughly 30% from its peak. Software was trading at a discount to the S&P 500 for only the second time since 2008. The presentation framed the disconnect in a single line: "Most of next year's revenue already locked in under contract. All mission-critical, compliance-heavy, deeply embedded software." The firm's read: the selloff is a buying opportunity, and it is acting on it.
The backdrop is the rout market participants have dubbed the "SaaSpocalypse," a sector-wide decline since the start of 2026 that has erased an estimated $2 trillion in market capitalization. Co-founder Orlando Bravo has called the selloff an overreaction driven by blanket AI-disruption fears. Speaking at the World Economic Forum in Davos in January 2026, he drew the line that defines the entire strategy: "Software is not at all about the code or about the technology. Software is about your domain knowledge."
Why 'Bear Hug' — and Why the Squeeze Is on Customers, Not Targets
The term is a deliberate twist on M&A vocabulary. In a classic bear hug, an acquirer bypasses a reluctant board and makes a premium offer directly to shareholders, squeezing management into negotiations. Thoma Bravo's version turns the pressure inward: the grip is on the customer, not the seller. And the firm is willing to pay for it. Kneat's C$6.50 per share represented roughly a 40% premium to the unaffected price and about 20% to the close just before the announcement. Verint's deal carried an 18% premium to its 10-day volume-weighted average price. Premiums of that size are only rational if the underlying revenue is durable — which is precisely the point.
The transmission mechanism runs through pricing power and renewal behavior. A seat-based point solution faces a direct AI shock: if one agent replaces five human users, the vendor loses 80% of its billing base. A system of record for FDA validation or aircraft navigation faces no such arithmetic. The customer cannot rip it out without revalidating an entire regulated workflow, so AI arrives as an additive feature sold into the existing contract rather than a replacement that cancels it. That is the second-order insight beneath the deal flow: the bear hug is a structural hedge against the very disruption that depressed the valuations Thoma Bravo is buying.
There is also a financing channel. With interest rates elevated through 2024 and 2025, software valuations compressed on the discount-rate side even before AI fears arrived. Buying contracted, recurring revenue at a distressed multiple while refinancing at improving terms lets a private owner capture both a multiple re-rating and an earnings inflection. The more than $34.4 billion in buyout funds the firm closed in June 2025 — including a $24.3 billion flagship fund — gives it the dry powder to keep writing checks while public sellers face a closed IPO window and strained balance sheets.
The Structural Bet Beneath the Cyclical Trade
Orlando Bravo's argument is more discriminating than a blanket defense of the sector. Speaking at the Miami meeting, he conceded that "many, many software companies in the public markets will be disrupted from AI. Those companies were going to be disrupted anyway." The businesses Thoma Bravo wants are those built around "deep domain expertise, zero-tolerance-for-error workflows and embedded cross-system integration" — firms positioned to grow by incorporating AI tools into integrated systems, not be displaced by them.
Separating the cyclical leg from the structural leg is essential, because confusing them flips the conclusion. The cyclical component is straightforward and, by definition, mean-reverting. Spaht's presentation attributed the 2022-2025 deceleration in public software revenue growth not to AI but to two transient factors: interest rates spiking and software seats having been oversold during the pandemic. A February 2026 report he cited noted that stock-based compensation as a percentage of revenue ran higher than revenue growth in certain software sectors — an accounting drag, not a demand collapse. As rates normalize and the panic recedes, multiples can re-rate toward historical norms. That is a cyclical trade, and it does not require any judgment about AI.
The structural component is different and more consequential. The divide between generalist, lightly regulated, low-switching-cost software and mission-critical, compliance-heavy systems is not a sentiment cycle — it is a permanent feature of enterprise purchasing. A tool that schedules meetings is exposed to agentic AI; a platform that validates clinical-trial data for regulators is not. A restaurant ordering system that processes millions of transactions and integrates with more than 400 partners creates switching friction that a chatbot cannot replicate. Thoma Bravo is not betting that the SaaSpocalypse fully reverses. It is betting that the market has mispriced an enduring bifurcation, and that the discount to the S&P 500 — only the second since 2008 — will persist for the vulnerable half of the sector while the captive half re-rates.
This framing also explains the firm's selectivity. It is not buying software because software is cheap. It is buying specific software whose customers face switching costs that rise, not fall, in an AI world. The day-to-day due diligence question changes from "how fast does this grow?" to "how impossible is this to replace?"
The Medallia Lesson — Candor as Discipline
Unusually for a firm pitching its own investors, Bravo addressed Thoma Bravo's most visible mistake directly. The firm overpaid for customer-experience software company Medallia in a $6.4 billion take-private in 2021.
"When we bought it, we way overestimated or extrapolated the very high rate of growth of that company into the future. We made a mistake. And that cost us to pay too much. Now, the equity from our standpoint has been impaired for a long time."In June 2026, Medallia entered an agreement to transition ownership from Thoma Bravo to an investor group led by Blackstone, Apollo and FS KKR Capital Corp — a passing of the baton that underscored how far the original thesis had drifted. The admission is more than candor; it is a statement of discipline. The bear hug playbook only works if the price paid leaves room for error. Buying locked-in revenue at a distressed multiple is a fundamentally different proposition from paying growth multiples for revenue that never arrives. The Medallia episode is the counterweight to every premium Thoma Bravo now pays: the firm's edge is supposed to be underwriting customer captivity, not extrapolating growth curves.
That discipline shows up in the current slate. Dayforce, Olo, Verint-Calabrio and Kneat were all acquired at moments when public-market sentiment, not underlying demand, was doing the heavy lifting on valuation. The firm is not paying for a recovery it assumes will happen; it is paying for cash flows that continue regardless.
The Counter-Thesis: Salesmanship, or a Genuine Mispricing?
The strongest case against Thoma Bravo's read is incentive-based, and it should be taken seriously. The firm manages roughly $183 billion across about 80 software companies and is mid-deployment of more than $34 billion in freshly raised funds. A firm in that position has every reason to tell its limited partners — and the market — that the selloff is an overreaction and the opportunity is exceptional. "To think that all software is the same, they're missing the mark a bit," Spaht said in a February interview. "We think this could be a really exceptional buying opportunity." The message is coherent; the messenger is not disinterested.
The harder version of the critique is substantive rather than motivational. AI disruption may arrive more slowly in revenue than in sentiment, but slower is not the same as absent. Per-seat pricing pressure is already visible across the sector, and if agentic AI begins compressing seat counts even at mission-critical vendors — at half the rate of point solutions, say — the "locked-in" revenue is not as durable as the thesis assumes. Contract lock-in protects this year's billing; it does not fix the price of next year's renewal. And private equity's traditional levers, cost discipline and multiple arbitrage, cannot offset a structural decline in the underlying unit economics.
There is also a concentration risk in the thesis itself. If every software-focused buyer is hunting the same profile — mission-critical, compliance-heavy, embedded — the assets become crowded and entry multiples expand, compressing the very mispricing that made the strategy attractive. The bear hug works best when it is contrarian; it works less well when it is consensus.
The falsifying signal is specific and observable. Over the next four quarters, if Thoma Bravo's marquee acquisitions — Dayforce, Olo, the Verint-Calabrio combination, Kneat — report net revenue retention below 100% or double-digit logo churn that management attributes to AI alternatives, the bear hug thesis breaks. Retention and renewal pricing at those companies are the data points that settle the argument, and they are not visible to public-market investors today. A second falsifier: if the IGV discount to the S&P 500 narrows without any improvement in portfolio-company fundamentals, the re-rating was multiple expansion alone, and the structural story was never tested.
What to Watch — and Who Wins If Thoma Bravo Is Right
The near-term trade is a valuation re-rating. IGV reached an all-time high of $117.99 in September 2025 and was trading near $101 in mid-August 2026, down roughly 10% year to date and about 30% from its peak. If AI anxiety continues to ease, the discount to the broader index can narrow even before earnings confirm the thesis.
The medium-term outcome depends on execution at the acquired companies. Dayforce must prove that human-capital management remains indispensable as AI automates HR workflows. Olo must show that restaurant brands deepen rather than reduce their reliance on its ordering and payments stack. Verint-Calabrio must demonstrate that AI augments contact-center software rather than replacing the platform. Kneat must convert life-sciences AI adoption into more validation work, not less. Each is a test of the core proposition that embedded, regulated software grows through AI rather than despite it.
The long-term structural call is that enterprise software bifurcates permanently between replaceable point solutions and mission-critical systems of record — and that the latter deserve private-market underwriting, not public-market panic pricing. If that holds, sellers of captive software gain negotiating leverage and premium exit valuations, while generalist, seat-based vendors face continued multiple compression. Public-market investors in the broad software basket face a two-tier reality in which the index average masks a widening gap between winners and losers.
Three scenarios frame the path. In the base case, Thoma Bravo's discipline — pricing contracted revenue at distressed multiples rather than growth multiples — produces solid returns and validates the playbook for other software-focused buyers. In the upside case, the AI panic proves almost entirely sentiment-driven, multiples re-rate toward historical norms, and the firm's dry powder earns outsized returns on a rising tide. In the downside case, AI-driven seat compression reaches even compliance-heavy workflows, retention deteriorates, and the Medallia mistake repeats at a larger scale — this time with the firm's own limited partners watching the retention metrics that were never public before.
The bear hug is only as strong as the customer's inability to leave. Thoma Bravo is betting that in a world of AI uncertainty, the most valuable software is the software nobody dares to turn off — and that the market will eventually pay for that certainty again.
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