Meta Platforms delivered 28% year-over-year revenue growth in its fiscal 2026 second quarter, but the company’s earnings, margins and free cash flow deteriorated sharply as a $2.4 billion litigation charge and heavier artificial-intelligence infrastructure spending lifted costs.
Revenue reached $60.801 billion, according to Meta’s quarterly release, while diluted earnings per share came in at $6.18. That was down 13% from a year earlier and below the $7.15 to $7.17 range referenced in market expectations. The results show that Meta’s advertising machine continues to expand, yet its ability to convert that growth into cash is being constrained by legal costs and the escalating expense of building AI capacity.
Meta projected fiscal third-quarter revenue of $59.5 billion to $65.5 billion, implying a midpoint of $62.5 billion. The midpoint fell below the roughly $63.1 billion market expectation cited in the materials, placing greater attention on whether advertising growth can keep offsetting the company’s spending plans through the remainder of the year.
Costs rise faster than revenue
Total costs and expenses climbed 55% from the previous year, nearly twice Meta’s revenue growth rate. Operating margin consequently fell to 30.9%, from 43% in the comparable quarter a year earlier, according to the company.
The $2.4 billion litigation expense was a major contributor to the quarter’s earnings decline. Excluding unusual legal charges, Meta’s underlying profitability picture would look less severe, but the broader cost trend remains material. Infrastructure, including data centers and computing equipment used to train and operate AI systems, has become a much larger commitment for the company.
Free cash flow fell to $784 million from $8.55 billion a year earlier. Free cash flow measures the cash a company generates after operating expenses and capital expenditures, making it a closely watched indicator for businesses undertaking large construction and hardware programs. The nearly $7.8 billion year-over-year decline reflects how rapidly capital requirements can change even for a company with revenue above $60 billion in a single quarter.
Meta maintained its full-year capital expenditure guidance of $130 billion to $145 billion. The figure indicates that the quarter’s weaker cash generation has not prompted a retreat from the company’s AI infrastructure plans.
That spending would fund data centers, servers, networking equipment and related systems needed to support Meta’s AI models and consumer products. Unlike many software investments, these projects require substantial upfront spending and continue to carry operating costs through electricity, maintenance and equipment upgrades.
Advertising remains Meta’s financial anchor
The Family of Apps unit, which includes Facebook, Instagram, Messenger and WhatsApp, generated $60.370 billion in quarterly revenue, according to Meta. The segment accounted for almost all of the company’s $60.801 billion total revenue, underscoring that advertising across its social platforms remains the source of funding for Meta’s AI ambitions.
The resilience of the Family of Apps business reduces the immediate financial pressure created by Meta’s infrastructure program. Revenue growth of 28% gives the company more room than slower-growing peers to finance data-center expansion internally. Yet the quarter also illustrates the limit of relying on revenue growth alone: costs rising at a 55% pace can compress margins even when advertising demand remains strong.
Meta has positioned AI as both a product opportunity and an operational tool. The company has been integrating AI into advertising systems, recommendation engines and consumer-facing features, seeking to improve engagement and ad targeting while developing products that could eventually produce new revenue streams. The financial trade-off is that many of those potential returns are longer-term, while the infrastructure costs arrive immediately.
Maintaining capital expenditure guidance despite the free-cash-flow decline suggests Meta is prioritizing computing capacity over near-term margin preservation. That choice places execution pressure on the company’s AI strategy. Revenue gains from improved advertising tools and new AI products would need to grow sufficiently to justify a significantly higher fixed-cost base.
Reality Labs continues to absorb losses
Reality Labs, Meta’s division for virtual and augmented reality products, reported $431 million in revenue and a $4.619 billion operating loss during the quarter. The unit’s loss remains large relative to its sales, continuing a pattern in which Meta’s hardware and metaverse-related initiatives consume substantial resources without approaching the scale of its advertising operations.
The division’s results are separate from the AI infrastructure buildout, but together they add to the pressure on Meta’s consolidated margins. Reality Labs has long represented a high-cost experimental business inside the company, while AI spending is becoming a core strategic expense tied more directly to Meta’s main platforms.
The combination makes the Family of Apps segment even more central to Meta’s near-term financial performance. Strong advertising revenue supports both the company’s established long-range bets in Reality Labs and its rapidly expanding AI investment program.
Broader market implications require caution
Meta’s results provide a clear example of a change unfolding across large technology companies: AI development is becoming increasingly capital-intensive. Companies competing for advanced computing capacity face higher outlays for data centers and specialized hardware than they did during earlier software-led growth cycles.
The quarterly release does not establish a direct relationship between Meta’s free cash flow and cryptocurrency prices, token liquidity or traders’ risk appetite. Digital-asset markets respond to a range of factors, including monetary policy, regulation, stablecoin flows, derivatives positioning and crypto-specific demand. Meta’s figures are more useful as a measure of the financial burden that AI infrastructure can place on even highly profitable technology companies.
For Meta, the next major test is whether third-quarter revenue meets its guidance while costs remain elevated. Advertising growth has kept the company’s core business expanding, but the second-quarter numbers show that AI spending and legal liabilities are already reshaping the balance between revenue, profits and cash generation.
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