San Francisco-based Databricks, the data and AI software company, remains privately held with a $134 billion valuation, and the question of its potential IPO price has gained renewed attention following a surge in AI-related public offerings. The company has not set an IPO price or ticker, but its private market valuation continues to be a key benchmark for investors.
In its most recent funding round, Databricks raised approximately $5 billion in equity and secured an additional $2 billion in debt capacity. The Nasdaq Private Market estimates the company's share value at $200.82 as of last month. Databricks reported a $5.4 billion annualized revenue run-rate in the fourth quarter, representing a 65% year-over-year increase. The company also noted that its AI products have reached a $1.4 billion revenue run-rate, and it has turned positive free cash flow over the last 12 months. Databricks counts over 800 customers with annual run-rate bookings exceeding $1 million each.
The AI IPO market saw a significant boost last week when Cerebras Systems set its U.S. IPO price at $185 per share, raising $5.55 billion and achieving a fully diluted valuation of $56.43 billion, according to Reuters. This positive reception has drawn attention to other large private AI companies, including Databricks. Private markets have also remained active, with reports that Anthropic has set terms for a $30 billion funding round, valuing the company at $900 billion, per the Financial Times. These developments signal continued high investor appetite for AI firms.
Databricks CEO Ali Ghodsi stated that the $7 billion raised leaves the company "really well capitalized" and that investors view Databricks as an "AI beneficiary." Michael Ashley Schulman, partner and CIO at Running Point Capital Advisors, noted that private financing at such a valuation allows a company to "stay private and preserve control." Databricks plans to use the capital to accelerate development of Lakebase, its serverless Postgres database for AI agents, and Genie, a natural language assistant for querying company data. Ghodsi mentioned in February that the company was experiencing "overwhelming investor interest," and Todd Combs, who runs JPMorganChase's Strategic Investment Group, described Databricks as "a backbone for enterprise data and AI."
The competitive landscape is complex. Databricks is a direct peer of Snowflake in the enterprise data software space. While Cerebras and Anthropic are not direct rivals, they serve as indicators of AI investor sentiment. Investors often look across these companies to gauge appropriate valuations for AI growth. However, market conditions can shift rapidly. If software stocks weaken, corporate AI spending slows, or investors push back on high private valuations, Databricks may delay its listing or accept a lower public price than its late-stage investors anticipated. At a $134 billion valuation, the company would need to demonstrate sustained growth, stable margins, and a compelling case for public investors.
Looking ahead, the clearest signals may come from trading in recent AI debuts or indications that late-stage investors remain active before companies go public. Databricks has not set an IPO date. For now, the $134 billion marker remains a key metric, and the outcome of its potential public offering is still uncertain.
