For years, founders of profitable but slow-growing SaaS companies could rely on a private equity acquisition as a viable exit. That safety net is gone. PE firms are now just as wary of AI disruption and growth decay as VCs, leaving many 'pretty good' SaaS companies with no buyers.
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The biggest risk for a late-stage private company is a growth slowdown. This forces a valuation model shift from a high multiple on future growth to a much lower multiple on current cash flow—a painful transition when you can't exit to the public markets.
A market bifurcation is underway where investors prioritize AI startups with extreme growth rates over traditional SaaS companies. This creates a "changing of the guard," forcing established SaaS players to adopt AI aggressively or risk being devalued as legacy assets, while AI-native firms command premium valuations.
The current fundraising environment is the most binary in recent memory. Startups with the "right" narrative—AI-native, elite incubator pedigree, explosive growth—get funded easily. Companies with solid but non-hype metrics, like classic SaaS growers, are finding it nearly impossible to raise capital. The middle market has vanished.
For established software companies with sluggish growth, the path forward is clear: find a way to become relevant in the age of AI. While they may not become the next Harvey, attaching to AI spend can boost growth from 15% to 25%, the difference between a viable public company and a sale to a private equity firm.
A significant shift has occurred: private equity firms are no longer actively pursuing acquisitions of solid SaaS companies that fall short of IPO scale. This disappearance of a reliable exit path forces VCs and founders to find new strategies for liquidity and growth.
The rapid evolution of AI means traditional private equity M&A timelines are too slow. PE firms and their portfolio companies must now behave more like venture capitalists, acquiring earlier-stage, riskier AI companies to secure necessary technology before it becomes unaffordable or obsolete.
For over a decade, SaaS products remained relatively unchanged, allowing PE firms to acquire them and profit from high NRR. AI destroys this model. The rate of product change is now unprecedented, meaning products can't be static, introducing a technology risk that PE models are not built for.
Recent acquisitions of slow-growth public SaaS companies are not just value grabs but turnaround plays. Acquirers believe these companies' distribution can be revitalized by injecting AI-native products, creating a path back to high growth and higher multiples.
Relying on the once-golden 'T2D3' growth metric for SaaS companies is now terrible advice for 2025. The market has shifted, and founders with these strong historical metrics are still struggling to get funded, indicating that even elite growth is no longer a guarantee of investment.
High SaaS revenue multiples make buyouts too expensive for management teams. This contrasts with traditional businesses valued on lower EBITDA multiples, where buyouts are more common. The exception is for stable, low-growth SaaS companies where a deal might be structured with seller financing.
