Databricks Raises Over $4 Billion in Series L Funding at $134 Billion Valuation
Databricks secures over $4 billion in Series L funding, propelling its valuation to $134 billion. With a $4.8 billion revenue run-rate and 55% YoY growth, the company is accelerating its push into agentic AI and data intelligence
Databricks, the data and AI company, has officially announced a massive Series L funding round of over $4 billion. This latest injection of capital propels the company’s valuation to $134 billion, solidifying its position as one of the most valuable private technology companies in the world.
Funding Details and Key Investors
The round was led by Insight Partners, Fidelity Management & Research Company, and J.P. Morgan Asset Management. The raise also saw participation from a broad consortium of prominent investors, including Andreessen Horowitz, BlackRock, Blackstone, Coatue, GIC, NEA, Ontario Teachers’ Pension Plan, and Thrive Capital.
This funding milestone comes shortly after the company surpassed a $100 billion valuation in a previous round earlier in 2025, highlighting a rapid appreciation in value driven by the enterprise AI boom.
Surging Financial Momentum
Alongside the funding news, Databricks released impressive financial figures that underscore its continued growth:
- Revenue Run-Rate: The company has crossed a $4.8 billion annualized revenue run-rate.
- Growth: Revenue is growing at over 55% year-over-year.
- Segment Performance: Both its AI products and Data Warehousing business have individually surpassed a $1 billion revenue run-rate.
- Retention: Net revenue retention remains strong at over 140%.
- Profitability: The company reported positive free cash flow over the last 12 months.
Strategic Focus: The Age of Agentic AI
Databricks plans to use the fresh capital to accelerate the development of "Data Intelligent Applications." Specifically, the funds will support three core strategic areas:
- Lakebase: A serverless database designed to anchor transactional data for AI workloads.
- Agent Bricks: A platform enabling organizations to build and scale multi-agent AI systems on their own proprietary data.
- Databricks Apps: A user experience layer to help developers build and deploy secure data and AI applications.
CEO Ali Ghodsi stated that the investment would deepen the company's commitment to helping enterprises build intelligent applications using their own data, rather than relying solely on generic models.
Employee Liquidity and Expansion
Beyond product development, a portion of the funds is earmarked to provide liquidity for employees and to fuel future AI research and potential acquisitions. This approach allows Databricks to reward its workforce while maintaining the flexibility of a private company, despite widespread market anticipation of an eventual IPO.
