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Meta Q3 Financial Report: Revenue grew by 26%, meeting expectations, while the billion-dollar legal expenses and AI capital expenditures pose a dual challenge

Meta announced its third-quarter 2026 performance early this morning Beijing time, with revenue of $64.601 billion, a year-on-year increase of 26%, exceeding market consensus expectations (approximately $63.3 to $63.7 billion). Net profit was $9.860 billion, a year-on-year increase of 264%, with a GAAP diluted earnings per share of $3.83.Operating profit decreased by 37% year-on-year to $12.988 billion, and the operating profit margin fell to about 20% (compared to about 40% in the same period last year), mainly due to a legal expense of $9.89 billion. This expense is related to the agreement reached with the attorneys general of various states in the U.S. regarding lawsuits related to youth mental health and social media, with a total payment cap of approximately $18.59 billion. Excluding this expense, operating profit was $22.88 billion, corresponding to an adjusted diluted earnings per share of approximately $7.40.The significant year-on-year growth in net profit was also influenced by the low base effect of the previous year's effective tax rate, which was as high as 87%; the effective tax rate for this quarter was 24%. Ad impressions increased by 10% year-on-year, and the average ad price rose by 14%. Family daily active people were approximately 3.64 billion, a year-on-year increase of 3%. Family of Apps revenue was approximately $64.16 billion, of which ad revenue was about $63.06 billion; Reality Labs revenue was approximately $443 million, with an operating loss of about $4.13 billion.Capital expenditures for the third quarter (including principal payments on finance leases) were approximately $34.9 billion, with free cash flow of negative $2.12 billion, and cash, cash equivalents, and marketable securities at the end of the quarter were approximately $82.4 billion. The company expects fourth-quarter revenue to be between $73 billion and $76 billion. The full-year capital expenditure guidance has been narrowed to $135 billion to $145 billion, and the full-year expense guidance has been raised to $175 billion to $179 billion, mainly due to the inclusion of legal expenses; excluding this expense, full-year operating profit is still expected to be higher than in 2025. The company also expects Reality Labs operating losses in 2026 to be approximately $18 to $19 billion, with hopes of narrowing next year.According to Gate market data, possibly influenced by the earnings report information, META's stock price rose by 2.17% in after-hours trading.

Vitalik compared the mining costs of BTC and the inference costs of AI: the former has electricity costs accounting for nearly half, while the latter relies more on capital expenditures for computing power

Ethereum co-founder Vitalik Buterin shared that the cost of Bitcoin mining is roughly half derived from capital expenditures on computing power equipment and the other half from electricity consumption; in contrast, the cost of AI inference is almost entirely dominated by capital expenditures on computing power. This difference reflects the distinct cost structures of the two computing businesses. Bitcoin miners need to continuously pay for electricity and determine their profit margins based on mining machine efficiency, coin prices, and network difficulty changes; AI inference, on the other hand, relies more on investments in expensive hardware like GPUs, as well as equipment utilization and computing efficiency.The industrial boundaries of both are also changing. As the demand for AI computing power grows, some Bitcoin mining companies are beginning to shift their existing electricity resources and data center facilities towards AI and high-performance computing businesses, hoping to transition from pure mining to computing infrastructure services. Some mining companies are leveraging previously allocated electricity capacity for mining to enter the AI data center market. However, transformation does not mean that cost pressures disappear: mining operations are more directly exposed to fluctuations in electricity prices and Bitcoin prices, while AI computing businesses must bear risks related to GPU procurement, depreciation, and underutilization. Both types of businesses compete for electricity and computing resources, but ultimately, profitability depends on how these resources are converted into revenue.
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