Here's a question: If your company was worth $100 billion two months ago, why not try for $130 billion today? That appears to be the logic at Databricks, which is reportedly in talks to raise fresh capital at a valuation that would make even the frothiest venture capitalists pause.
Databricks Chases $130 Billion Valuation Just Two Months After $100 Billion Round
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No Deal Yet, But Talks Are Underway
The San Francisco-based data analytics firm hasn't actually signed a term sheet with any investment firms, according to The Information, which cited people familiar with the discussions. So this is still very much in the exploratory phase.
Back in September, Databricks closed a $1 billion Series K funding round at that $100 billion valuation. At the time, the company said it was on track to hit $4 billion in annualized revenue, powered by surging demand for its artificial intelligence products. The plan was to use that capital to accelerate its AI strategy, expand products, launch an operational database category, and pursue AI acquisitions and research.
The company's platform helps about 15,000 customers ingest, analyze, and build AI applications. That's a real business with real revenue, which matters in the current environment.
Awkward Timing As Markets Question Tech Valuations
The timing of these funding talks is interesting, to put it mildly. Global markets are currently in sell-off mode as investors question whether technology valuations have gotten out of hand. Asian stocks hit one-month lows on Tuesday, with particularly heavy selling in Japan and South Korea's tech-heavy markets. Everyone's watching Nvidia Corp (NVDA) earnings and key U.S. economic data later this week.
U.S. stock index futures also fell on Tuesday, weighed down by concerns over lofty valuations and fading hopes for an interest rate cut. The question that's been hanging over the AI sector for months—whether demand can actually justify these explosive valuations—suddenly feels more urgent.
Whether Databricks can pull off a 30% valuation increase in this environment will be a fascinating test of investor appetite for AI growth stories.
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