Meta Reports 28 Percent Revenue Growth as AI Spending Raises Costs
Meta Platforms, Inc. announced in a press release second quarter 2026 revenue of $60.80 billion, up 28 percent from $47.52 billion a year earlier. Net income fell 14 percent to $15.85 billion, and diluted earnings per share fell 13 percent to $6.18.
Costs and expenses rose 55 percent to $42.03 billion. The total included $2.40 billion in charges tied to legal proceedings and $1.18 billion in severance expenses connected to a May 2026 headcount reduction.
Meta said capital expenditures, including principal payments on finance leases, were $31.08 billion for the quarter. Cash, cash equivalents, and marketable securities were $90.26 billion as of June 30, while long term debt was $83.66 billion.
The company reported 3.60 billion family daily active people on average for June, up 3 percent year over year. Ad impressions across its family of apps rose 14 percent, while the average price per ad rose 12 percent.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief, Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Sep 20 Litera Brings Foundation Firm AI Search to ChatGPT Enterprise Sep 19 Collinson Funds Priority Pass AI and App Expansion Through £500 Million Program Sep 19 Disney Names Former Character.ai CEO as Its First CTO Sep 19 Anthropic Picks Accenture for AI Safety Testing Sep 19 Huawei Unveils Immersive Telepresence SystemMore from Data Centers
Sep 19 Virginia Proposes Data Center Rules and Creates AI Task Force Sep 19 House Passes Bill to Shield Ratepayers From Data Center Power Costs Sep 19 Laminar Joins L'Oreal Sustainability Accelerator Sep 19 Dnotitia Begins Testing VDPU ASIC Samples Sep 19 Nscale Files for US Initial Public OfferingEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Meta Launches Muse Personal AI Agent in US
Oracle Q1 Revenue Rises 30% as AI Cloud Contracts Top $30 Billion
Generative AI Use Reaches 63% of US Internet Households
AMBR Revenue Rises 38.8% During AI Agent Pivot
Standard Metrics Raises $20 Million for AI Portfolio Management Platform
Daily AI Brief: the AI news that matters, in your inbox.