Meta Platforms shares tumbled nearly 10% after the company’s second-quarter 2026 earnings report revealed a widening gap between soaring revenue and collapsing profitability, as its artificial intelligence build-out pushes capital spending toward $145 billion for the year. Investors, who had cheered AI enthusiasm for much of the past two years, are now openly questioning how long Meta can keep spending at this pace before the payoff arrives.
What to know:
- Meta’s Q2 2026 revenue hit $60.8 billion, up 28% year-over-year — its fastest growth pace since late 2021.
- Earnings per share came in at $6.18, missing Wall Street estimates of roughly $7.17-$7.22 by nearly 14%.
- Net income fell to $15.8 billion, down from $18.3 billion in the same quarter last year.
- Capital expenditures more than doubled to $31.08 billion for the quarter, versus $17.0 billion a year earlier.
- Meta narrowed its full-year 2026 capex guidance to a range of $130 billion to $145 billion.
- Free cash flow collapsed to just $784 million, and shares fell about 9.6% in after-hours trading.
The numbers tell a story of a company caught between two competing narratives. On one hand, Meta’s core advertising business is firing on all cylinders, with revenue growth accelerating to levels not seen since before the 2022 downturn. On the other, the company’s massive bet on artificial intelligence infrastructure is eating directly into the bottom line, and investors are no longer willing to give it a free pass.
Meta’s capital expenditures, which include spending on data centers, servers, and networking equipment along with principal payments on finance leases, have become the central storyline of every earnings report this year. The company spent $31.08 billion in the second quarter alone, nearly double what it spent in the same period last year. That spending pushed operating cash flow of $31.86 billion down to a free cash flow figure of just $784 million once the infrastructure bill was paid.
Chief executive Mark Zuckerberg has repeatedly defended the spending as necessary to compete in what he has called a once-in-a-generation platform shift. Meta has been racing rivals including Google, Microsoft, and Amazon to build out the computing capacity needed to train and run increasingly large AI models, and to support the company’s own AI Shopping Agents and other consumer-facing products now rolling out across its apps. The company’s guidance for full-year 2026 capex, narrowed to a range of $130 billion to $145 billion, represents roughly double what Meta projected just a year earlier.
That scale of spending has unsettled investors. Meta shares dropped to around $529 in after-hours trading following the report, near the low end of the stock’s 52-week range. The sell-off reflects a broader shift in how markets are treating AI spending across the technology sector: where heavy capex once signaled ambition and competitive strength, it is increasingly being read as a drag on near-term profitability with an uncertain timeline for returns.
The earnings miss itself was notable given the strength of the top line. Revenue of $60.8 billion beat many analyst forecasts, and Meta’s advertising business continues to benefit from AI-driven improvements to ad targeting and recommendation systems. But the gap between a 28% revenue jump and a decline in net income from $18.3 billion to $15.8 billion illustrates how aggressively the AI build-out is compressing margins. Depreciation on new data center hardware, higher energy costs, and the sheer scale of infrastructure spending all weighed on profitability during the quarter.
Looking ahead, Meta guided third-quarter revenue to a range of $61 billion to $64 billion and said it expects full-year 2026 operating income to exceed 2025 levels, a sign that management remains confident the investment will eventually pay off. But for now, the market’s patience is being tested. Analysts have zeroed in on the extended timeline before AI investments are expected to generate meaningful returns, and the debate over whether Meta and its peers are overbuilding capacity is intensifying across the industry.
The broader question hanging over Meta’s results extends well beyond one company. Rivals in the AI infrastructure race are making similarly enormous bets, and Meta’s results this week are likely to be read as an early indicator of how markets will judge the entire sector’s spending spree heading into the back half of 2026. For now, Meta is betting that scale wins the AI era — even if it means sacrificing free cash flow and near-term earnings to get there.
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