
Micron Technology reported earnings well above expectations and disclosed $22 billion(約3.5兆円) in binding five-year customer contracts with pricing floors tied to historical profit peaks. These long-term agreements represent a structural break from the semiconductor memory industry's 40-year pattern of boom-and-bust cycles, potentially justifying higher valuations for memory stocks. However, analysts caution that rising memory prices—now roughly 35% of AI data center spending—could eventually become a constraint on customer spending or trigger demand destruction in price-sensitive markets.
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Micron reported revenue of $41.5 billion(約6.6兆円) and earnings per share of $25.11, both exceeding Wall Street expectations, and guided to $50 billion(約8兆円) in revenue next quarter. The company disclosed 16 Strategic Customer Agreements—five-year, take-or-pay contracts running from 2026 through 2030—backed by $22 billion(約3.5兆円) in customer deposits and letters of credit, with pricing floors set at levels that would generate gross margins above Micron's best-ever quarterly performance in any prior cycle.
Why it matters
Memory chips have historically been the most volatile part of the semiconductor industry, cycling between price spikes and crashes. AI infrastructure demand—particularly for specialized memory stacked directly atop AI accelerators—is running significantly ahead of supply, and Micron expects that gap to persist beyond 2027. For the first time at scale, these multi-year contracts introduce contractual earnings floors, potentially ending the boom-bust model that has defined memory investing for 40 years and justifying a structural rerating of memory stocks.
What to watch
DRAM revenue reached $31.3 billion(約5兆円) (up 67% quarter-over-quarter), and core data center revenue more than doubled sequentially to $11.5 billion(約1.8兆円), up 653% year-over-year. Analysts noted that memory now accounts for roughly 35% of AI infrastructure capital expenditure, creating what BofA called a potential 'memory tax' on data center spending—a dynamic that has natural limits if pricing pushes too high.
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