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Chronicles

The story behind the story

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Databricks closed a $5B funding round at a $190B valuation, six months after raising $5B at a $134B valuation, and says it has crossed $7B in revenue run rate

CNBC Samantha Subin

Context & Ripple Effects

Databricks’ late-2025 financing was already priced at $134B after earlier valuation steps, and its February round added $5B of equity plus $2B of debt while annualized revenue passed $5.4B. The latest round pairs a further valuation reset with a higher reported revenue run rate.

The company is also broadening beyond its core data platform through February’s equity-and-debt financing and an agreed Panther Labs acquisition, its third cybersecurity deal. That makes fresh private capital relevant to both operating scale and product expansion.

First-order effects

  • Databricks receives $5B of new equity capital, while its investors reset the company’s private-market valuation from $134B six months ago to $190B.
  • The reported move above a $7B revenue run rate gives Databricks a larger commercial-scale benchmark against which investors will assess the new valuation.

Second-order effects

  • The new financing expands Databricks’ capacity to integrate Panther Labs and pursue its stated cybersecurity acquisition strategy without relying solely on operating cash generation.
  • Because Databricks says greater AI-agent use raises costs and reduces margins, the higher valuation raises the importance of turning run-rate growth into durable economics as it scales agent workloads.

Third-order effects

  • If this pattern holds, private capital for AI data infrastructure will concentrate around companies that can show both multibillion-dollar revenue scale and the balance sheet to absorb agent-era compute costs.
  • Databricks’ successive valuation steps point toward private-market financing becoming a continuing strategic resource for mature AI infrastructure companies, rather than a bridge to a near-term public listing.

The trend: AI infrastructure financing is concentrating in revenue-scale private platforms that can fund expansion while managing the compute-cost pressure of AI agents.

Discussion

  • @alighodsi Ali Ghodsi on x
    I got this question so many times today. “How can you grow 80% at $7B?” The true answer is that we're finally seeing a breakthrough with AI agents starting to work in the enterprise. The AIs have been super smart for a while, but have lacked basic context that's in people's
  • @databricks @databricks on x
    Today, we're pleased to share strong momentum across our business, including crossing $7B in revenue run-rate and achieving >80% year-over-year growth in Q2. We also shared: • >$100M revenue run-rate for Lakebase • >$1.5B revenue run-rate for Lakehouse • Closed $5B in new [image]
  • @altcap Brad Gerstner on x
    @alighodsi Truly legendary. I have watched Ali & team brilliantly stack S curves for a decade. Nobody could touch their execution. Their growth & success was not a single product. They didn't wait for markets - they took risks & defined markets. We are grateful shareholders. 📈🫡
  • @ceo_clickhouse Aaron Katz on x
    Congratulations to @alighodsi and the entire Databricks community on their continued growth and execution.
  • @rishabhs Rishabh Singh on x
    Accurate and comprehensive enterprise knowledge context is key to what make an AI agent truly useful for enterprise tasks. We have been supercharging Genie with more and more automated context curation with Genie Ontology, and are seeing excellent results. https://www.databricks.…
  • @sarahdingwang Sarah Wang on x
    The fact that Databricks is growing nearly the same rate at $7b revenue as it was when the growth fund invested at ~$200m revenue 6 years ago never ceases to blow my mind. Today no one is better positioned to help the enterprise get true ROI out of AI. Congrats @alighodsi @rxin
  • @databricks @databricks on x
    CEO @alighodsi claims AGI already arrived, with the fortune now buried in context the models don't have, writes Victor Dey for Forbes. Today we closed $5 billion in financing at a $190 billion valuation. The capital is going toward Genie, Lakebase, and Unity AI Gateway, the [imag…
  • @alighodsi Ali Ghodsi on x
    Today, we announced that we crossed $7B in revenue run-rate, growing over 80% year over year in Q2. We also shared: 🚀 $100M+ revenue run-rate for Lakebase 🚀 $1.5B+ revenue run-rate for Lakehouse, growing over 100% year over year 🚀 Continued positive adjusted free cash flow
  • Maria Vachyants Maria Vachyants on linkedin
    🚀 What a massive milestone!  Databricks just announced they have surpassed a staggering $7B revenue run rate, fueled by an incredible 80% YoY growth. …
  • Jack Harmon Jack Harmon on linkedin
    It's a big day at Databricks.  —  Today we closed $5B in new strategic funding at a $190B valuation, and announced that we surpassed $7B in revenue run-rate. …
  • Sebastian Furtal Sebastian Furtal on linkedin
    Today, Databricks shared strong momentum across their business, including crossing $7B in revenue run-rate and achieving >80% year-over-year growth in Q2. …
  • Sarah Branfman Sarah Branfman on linkedin
    The numbers are in... $5b in strategic funding at a $190B valuation  —  Coming off a killer Q2:  —  🚀 >$7B revenue run-rate …
  • r/business r on reddit
    Databricks wraps $5 billion funding round at $190 billion valuation