United States · Business news · AI & Tech · 30 Sept 2026
AI: Chips and hardware · Micron — more AI news
Micron reported fiscal fourth-quarter revenue of $54.23 billion, against $41.46 billion in the previous quarter and $11.32 billion a year earlier. Full-year revenue was $133.19 billion, compared with $37.38 billion in fiscal 2025, and full-year GAAP net income was $84.97 billion. Net capital expenditure was $10.77 billion in the quarter and $27.37 billion for the year. The company guided first-quarter fiscal 2027 revenue to $61.5 billion, plus or minus $1.5 billion.
Memory has become one of the scarcest inputs in AI servers, and Micron's accounts show who is collecting: quarterly revenue of $54.23 billion is nearly five times the $11.32 billion of a year earlier, and full-year net income of $84.97 billion is more than twice the prior year's revenue. The payers are cloud companies and server makers, for whom memory is a rising cost. Micron's $27.37 billion of annual capex in turn goes to equipment suppliers such as ASML.
Reported by Micron (SEC Form 8-K) — “MICRON TECHNOLOGY, INC. REPORTS RECORD FISCAL FOURTH-QUARTER AND FULL-YEAR 2026 RESULTS” ↗ on 30 Sept 2026.
Official series on 30 Sept 2026 or the last day before it, and the latest observation.
The finance angle is the contracted revenue: about $36 billion over the initial terms of the leases, paid by the AI cloud companies and hyperscalers that rent the capacity. That backlog is many times current revenue…
The finance angle is where AI work gets paid for. A model that runs on the laptop shifts spending from cloud usage to the device: Nvidia earns from the chip, Microsoft from the hardware and Windows, and the buyer pays…
The finance angle is the price of AI computing for the companies that buy it. Anthropic puts the overall cost of running a workload about 75% below Haiku 4.5, and says the Sonnet change takes roughly 20% off a typical…
The Dow fell about three times as much as the S&P 500 and the Nasdaq, so the day's weakness sat more with older industrial and financial names than with the large technology companies that dominate the other two…