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TrustFinance Global Insights
Mac 05, 2026
2 min read
16

Private equity firms, including Thoma Bravo and Hellman & Friedman, are evaluating potential acquisitions of financial data providers like FactSet, whose stock prices have plummeted due to investor fears over AI disruption. However, this same AI uncertainty is causing the firms to reassess the viability of these deals, creating a standoff between attractive valuations and unpredictable future risks.
Shares of major data companies have seen significant declines, with FactSet dropping 39%, Morningstar 27.6%, and Gartner 29.5% in recent months. Investors are concerned that advanced AI could replicate the information and advisory services these firms sell. This selloff has compressed valuations, with FactSet's enterprise-value-to-EBITDA ratio falling from 21 to approximately 12 in less than a year, making them theoretically attractive takeover targets.
The sharp pullback in share prices presents a classic dilemma for private equity. While the lower valuations offer a compelling entry point for buyouts, the underlying cause—the existential threat from AI—makes it difficult to accurately forecast future cash flows and pricing power. Bankers report that they cannot confidently value a company whose business model may be fundamentally reshaped or overtaken by AI, thus tempering buyout interest despite the discounted prices.
The future for data providers hinges on their ability to adapt and integrate AI into their offerings rather than be replaced by it. FactSet's partnership with AI developer Anthropic signals a potential path forward. For now, private equity remains on the sidelines, scrutinizing which software models are truly defensible in an AI-saturated market before committing to major acquisitions.
Q: Why are data company stocks falling?
A: Investors are concerned that new generative AI technologies could replicate the core data and analysis services these companies provide, threatening their long-term business models.
Q: What is preventing private equity firms from buying these cheaper companies?
A: The unpredictable impact of AI on future revenue and profitability makes it extremely difficult to perform accurate valuations, leading to hesitation despite the low stock prices.
Source: Investing.com

TrustFinance Global Insights
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