Key Takeaways
- • YipitData, a Carlyle-backed alternative data and analytics provider, is exploring a sale at a valuation between $2.5 billion and $3 billion, representing a significant markup from Carlyle's $475 million investment in December 2021 at a $1 billion+ valuation.
- • Goldman Sachs has been hired to advise on the process, with discussions in early stages involving both private equity and strategic buyers; no transaction is guaranteed.
- • The company generates approximately $280 million in annual recurring revenue with revenue growth exceeding 30%, serving major institutional clients including hedge funds, private equity firms, asset managers, and corporations such as Walmart, Lowe's, and Ulta Beauty.
- • Rising investor appetite for proprietary datasets—particularly those applicable to artificial intelligence applications—has increased valuations for alternative data providers, as these assets offer recurring revenue streams less exposed to AI-driven disruption in technology sectors.
- • YipitData's datasets span e-commerce, payments, software, ridesharing, and consumer technology, positioning the company as a critical information provider for institutional decision-making in an increasingly data-driven investment landscape.
Summary
YipitData, the New York-based alternative data and analytics platform backed by Carlyle, is evaluating a strategic sale that could value the business between $2.5 billion and $3 billion. According to Reuters, citing people familiar with the process, the company has retained Goldman Sachs to manage the transaction, which remains in early-stage discussions with potential acquirers spanning both private equity and strategic buyers. The company has provided no guarantee that a transaction will ultimately close.
The potential sale reflects YipitData's significant growth trajectory since Carlyle's investment. The private equity firm led a $475 million investment round in December 2021, when the business was valued at over $1 billion. A successful exit at the current valuation range would represent a near-tripling of that valuation in less than five years. YipitData is expected to generate approximately $280 million in annual recurring revenue this year, with revenue growth running above 30 percent.
The heightened interest in YipitData aligns with a broader institutional focus on companies controlling proprietary datasets. As artificial intelligence applications proliferate across investment management and corporate decision-making, demand for high-quality alternative data has intensified. Such assets offer institutional investors a material advantage: recurring revenue streams that are less vulnerable to the technological disruption AI is causing across traditional software and technology sectors. YipitData's diversified dataset portfolio—covering e-commerce, payments, software, ridesharing, and consumer technology—appeals to this market demand.
Founded in 2010 by Vinicius Vacanti and James Moran, YipitData serves a sophisticated client base including hedge funds, private equity firms, asset managers, and major corporates such as Walmart, Lowe's, and Ulta Beauty. This institutional positioning, combined with demonstrated revenue growth and recurring revenue model, positions the company as an attractive asset in a market increasingly valuing data as a strategic input to investment decision-making and artificial intelligence infrastructure.
The potential sale reflects YipitData's significant growth trajectory since Carlyle's investment. The private equity firm led a $475 million investment round in December 2021, when the business was valued at over $1 billion. A successful exit at the current valuation range would represent a near-tripling of that valuation in less than five years. YipitData is expected to generate approximately $280 million in annual recurring revenue this year, with revenue growth running above 30 percent.
The heightened interest in YipitData aligns with a broader institutional focus on companies controlling proprietary datasets. As artificial intelligence applications proliferate across investment management and corporate decision-making, demand for high-quality alternative data has intensified. Such assets offer institutional investors a material advantage: recurring revenue streams that are less vulnerable to the technological disruption AI is causing across traditional software and technology sectors. YipitData's diversified dataset portfolio—covering e-commerce, payments, software, ridesharing, and consumer technology—appeals to this market demand.
Founded in 2010 by Vinicius Vacanti and James Moran, YipitData serves a sophisticated client base including hedge funds, private equity firms, asset managers, and major corporates such as Walmart, Lowe's, and Ulta Beauty. This institutional positioning, combined with demonstrated revenue growth and recurring revenue model, positions the company as an attractive asset in a market increasingly valuing data as a strategic input to investment decision-making and artificial intelligence infrastructure.
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