Micron Technology raises quarterly results forecast on AI-driven demand

Chipmaker boosts revenue, margin, and EPS guidance as AI servers drive DRAM pricing strength

Micron Technology raised its fiscal fourth-quarter 2025 outlook, citing stronger-than-expected demand for memory used in artificial intelligence data centers and improved pricing, especially in DRAM.

Updated guidance for Q4 FY2025

• Revenue: $11.2 billion ± $100 million, up from prior $10.7 billion ± $300 million[1].
• Non-GAAP gross margin: 44.5% ± 0.5%, versus 42.0% ± 1.0% previously[1].
• Non-GAAP EPS: $2.85 ± $0.07, raised from $2.50 ± $0.15[1].

The company attributed the higher outlook to “improved pricing, particularly in DRAM,” and continued strong execution amid robust AI-driven demand across data center and broader end markets[1].

AI infrastructure tailwinds

Micron has been a key beneficiary of the buildout of AI servers that require high-capacity, high-bandwidth memory, including HBM and advanced DRAM, which has tightened supply and supported pricing across the cycle. Management has repeatedly pointed to record revenue in fiscal 2025 underpinned by data center growth and improving trends in consumer-oriented markets[2].

Investor engagement

Micron’s Executive Vice President and Chief Business Officer, Sumit Sadana, is scheduled for a fireside chat at the 2025 KeyBanc Technology Conference in Park City, Utah, at 9:00 a.m. Mountain Time on August 11, 2025, where he is expected to provide further color on demand, supply, and pricing dynamics[1].

Context and outlook

• Management has highlighted technology leadership with the ramp of the 1-gamma DRAM node and a portfolio positioned to serve AI workloads across cloud, enterprise, and edge[2].
• Data center revenue has sharply outpaced year-ago levels, reflecting the shift to AI-accelerated infrastructure and associated memory intensity per server[2].
• Micron continues to guide for record revenue and significantly improved profitability in fiscal 2025, supported by DRAM and NAND demand growth[2].

As hyperscalers scale out AI clusters and enterprises expand inference deployment, memory content growth per system is expected to remain a secular driver for Micron’s top line and margins.