Stock Markets June 8, 2026 10:19 PM

Databricks in advanced talks for new funding round valuing company at up to $175 billion

Discussions could kick off next month as investors double down on AI-focused software platforms

By Avery Klein
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Databricks has been in discussions about raising fresh capital in a financing round that market contacts say could begin next month and put the enterprise data and AI software firm at a valuation between $165 billion and $175 billion. The talks follow a multi-billion dollar raise earlier this year and come amid broad investor appetite for companies tied to artificial intelligence adoption.

Databricks in advanced talks for new funding round valuing company at up to $175 billion
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Key Points

  • Databricks has held discussions about a potential funding round that could begin next month, with a prospective valuation of $165 billion to $175 billion - impacting private enterprise software valuations and the AI infrastructure sector.
  • Earlier this year the company raised about $5 billion at a $134 billion valuation and has since reported a $5.4 billion revenue run rate, up 65% year-over-year - relevant to enterprise software, cloud services and data platform markets.
  • CEO Ali Ghodsi has privately indicated the company remains on an IPO path and could pursue a public listing potentially next year - a development investors in SaaS and AI platforms will monitor closely.

Key development - Sources familiar with the matter say Databricks has held talks about a potential funding round that could start as soon as next month and that would value the company in a range from $165 billion to $175 billion. The report attributed the detail to The Information and noted the company has been privately exploring the raise.

Recent financing and scale - Databricks is already among the most highly valued private technology firms. Earlier this year the company completed a fundraising of roughly $5 billion at a reported valuation of $134 billion. The newer discussions would represent a material step up versus that earlier valuation.

Business profile and growth metrics - The company markets a platform intended to help organizations ingest disparate data, analyze complex datasets and build AI applications. Management disclosed in February that Databricks had surpassed a $5.4 billion revenue run rate, representing growth of 65% year-over-year.

Context in the market - Investors have been placing sizable bets on companies positioned to benefit as artificial intelligence spreads through software and enterprise IT stacks. The report notes large technology companies are on track to deploy billions of dollars into related initiatives, and that two of the largest AI-focused firms - OpenAI and Anthropic - have filed IPO paperwork.

Path to public markets - According to sources cited, CEO Ali Ghodsi has privately told investors he still expects the company to pursue an initial public offering, potentially as soon as next year. That potential IPO timeline remains a point of investor attention.

Company response - Databricks did not immediately respond to a Reuters request for comment.


This report consolidates the details that have been shared publicly and by sources close to the situation: a potential fundraising that, if it proceeds on the terms described, would lift the firm’s private valuation notably above the level established in the earlier round; a company operating at scale with a multi-billion-dollar run rate; and management commentary indicating an ongoing intent to eventually list publicly.

Risks

  • The fundraising discussions are reported as talks and not as a completed transaction, so plans could change - this uncertainty affects private market participants and potential later public investors.
  • The timing of an IPO is described as "potentially" next year, indicating the public listing is not guaranteed on a fixed timetable - this creates execution and market-timing risk for stakeholders.
  • Investor sentiment underlying large bets on AI and related infrastructure could shift, introducing market risk for companies positioned to benefit from AI adoption across enterprise software and cloud infrastructure sectors.

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