Meta free cash flow turns negative as data center spending weighs on shares

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Ivan Andriyenko

24.10.2026

Meta free cash flow turns negative as data center spending weighs on shares — Meta's cash flow dips

Heavy investment in AI infrastructure is testing investor confidence across Big Tech as companies commit more capital to data centers. Meta is now facing sharper scrutiny after its latest earnings report showed negative free cash flow in the third quarter despite stronger revenue and adjusted earnings than expected.

Highlights

Meta's free cash flow turned negative in Q3 due to heavy capital expenditure, causing shares to fall 7% despite beating revenue and adjusted earnings estimates.
Meta maintains over $82 billion in cash and marketable securities, providing a liquidity buffer as it continues to invest aggressively in data centers.
Investor skepticism about sustained AI infrastructure spending is growing, increasing pressure on Meta and peers to demonstrate profitability amid elevated capital outlays.

Capital spending drives cash flow reversal

As reported by Axios, Meta said in its latest earnings report that it plans to keep investing heavily in capital expenditures for the rest of the year, while offering no guidance for 2027.

The company’s results mark a notable shift for a business long seen as a major cash generator, with free cash flow turning negative in the third quarter. Investors responded by sending the stock down 7%, even though Meta beat revenue and adjusted earnings estimates.

Meta still retains a strong liquidity buffer, with more than $82 billion in cash and marketable securities. That reserve may help support continued spending, but the report intensifies questions about how long large technology groups can sustain elevated outlays on data centers without clearer returns.

AI infrastructure bets face wider market scrutiny

The market reaction suggests investors are growing more cautious about the profitability outlook for companies pouring money into AI infrastructure. For Meta, that skepticism adds pressure to justify the scale of its spending as it expands capacity tied to data centers and related systems.

The report also points to a broader concern across the sector, where confidence in future AI-driven growth remains central to valuations. Any sustained deterioration in sentiment could complicate capital planning for companies that depend on continued large-scale investment while seeking to preserve strategic control, including at Meta under founder Mark Zuckerberg.

Our earlier article on the U.S. AI data center buildout examined how soaring financing costs, construction delays, and power constraints are making many planned projects look less feasible than advertised. We noted that weakening investor confidence and cost overruns are already showing up across the sector, raising doubts about whether massive AI infrastructure capex can be converted into sustainable returns.

This material may contain third-party opinions, none of the data and information on this webpage constitutes investment advice according to our Disclaimer. While we adhere to strict Editorial Integrity, this post may contain references to products from our partners.

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