Databricks: New Funding Round Catapults Valuation to $188 Billion, No IPO in Sight
US data and AI company Databricks is raising fresh capital once again – and its valuation is soaring. The San Francisco-based firm announced that it has signed a term sheet for a strategic funding round at a valuation of $188 billion. The round is led by existing investor Coatue Management, with additional new and existing investors expected to participate. Closing is planned for this summer. According to a report by the Wall Street Journal, the round is set to total around $3 billion.
This continues the rapid valuation climb of the Snowflake rival: Just earlier this year, Databricks raised around $5 billion at a $134 billion valuation, and at the end of 2024, following its $10 billion Series J, the company was still valued at $62 billion. Within roughly a year and a half, its valuation has tripled. Databricks reports an annualized revenue run rate of $5.4 billion, growth of more than 50 percent year-over-year, and positive free cash flow.
Capital to Fuel Multi-AI Strategy
The fresh money is primarily earmarked for expanding the company’s AI products. Three areas are in focus: Unity AI Gateway, a governance solution that lets enterprises manage the use and costs of multiple AI models; Genie, the AI assistant designed to turn business data into answers and actions; and Lakebase, a serverless Postgres database built for AI agents. Beyond that, Databricks plans to use the capital to fund future acquisitions and deepen its own AI research.
CEO and co-founder Ali Ghodsi justifies the strategy with a shift in customer behavior: Enterprises are moving from “tokenmaxxing” to “valuemaxxing” – rather than using the most expensive model for every task, the goal is to get the best outcome per dollar and to have the freedom to pick the right model for each use case.
Databricks is thus positioning itself as an infrastructure provider for enterprise AI: The company’s Data + AI Platform is meant to close the “context gap” that emerges when corporate data is scattered across different systems and disconnected from AI applications. More than 20,000 organizations worldwide use the platform, according to the company, including adidas, Bayer, Mastercard, and 70 percent of the Fortune 500.
Why the IPO Keeps Getting Pushed Back
Notably, despite its enormous valuation, Databricks continues to steer clear of the stock market – even though the company has been considered one of the hottest IPO candidates in tech for years. Ghodsi openly explained why in June: 2026 is “a terrible year to go public,” he told Bloomberg. The backdrop: With SpaceX, Anthropic, and OpenAI, several mega-IPOs with a combined valuation in the trillions are hitting the public markets this year, absorbing enormous amounts of investor capital and attention. Databricks doesn’t want to compete for investors in that environment.
On top of that, the company simply doesn’t need the stock market to finance itself. Private investors are readily providing billions at ever-higher valuations, while Databricks can keep growing without the quarterly pressure, activist investors, and short sellers of the public markets – an advantage over listed competitors such as Snowflake and Oracle. Accordingly, the main reason Ghodsi cites for an eventual listing is not a need for capital but the company’s employees: An IPO is meant to create a “market transaction mechanism” through which staff can sell their shares. Databricks is “IPO-ready,” the CEO emphasizes – a public listing is still considered a given, but may not happen until 2027 or later.
