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From SanDisk to Seagate: How Far Has the AI-Driven Storage Supercycle Come

SanDisk fiscal Q1 2027 revenue was $11.03B with 85.1% adjusted gross margin; Seagate posted record-profit revenue of $4.23B. This piece explains the AI storage supercycle.

One-sentence summary

SanDisk's fiscal Q1 2027 revenue was $11.03B with 85.1% adjusted gross margin, and Seagate posted record-profit revenue of $4.23B; this piece explains how far the AI-driven storage supercycle has come.

Event Recap ​

SanDisk reported fiscal Q1 2027 on October 29, 2026: revenue $11.03B, EPS $52.60, adjusted EPS $49.51, adjusted gross margin 85.1%; Q2 guidance of $12.2-12.6B revenue and 84.5-85.5% adjusted gross margin. Seagate's fiscal Q1 2027 (ended October 2) showed GAAP revenue $4.233B, EPS $7.59 and net income $1.761B, with record profitability and highest free cash flow.

How AI Demand Pulls NAND and HDD at Once ​

Training and inference need mass data landing: checkpoints, vector stores, inference caches and cold-data tiering, lifting both enterprise SSD (NAND) and high-capacity HDD demand. SanDisk's near-85% adjusted gross margin reflects NAND pricing power under shortage, while Seagate's record profit comes from nearline HDD expansion in AI datacenters.

What Guidance Says About Staying Power ​

SanDisk's Q2 revenue midpoint of ~$12.4B grows sequentially from $11.03B, holding an ~85% gross margin, signaling vendors expect shortage and high prices to persist near term. This echoes the HBM/DRAM memory-supercycle narrative.

Risks and Boundaries ​

Storage cycles depend on capacity additions, inventory adjustments and capex pacing; super-high margins rarely last once supply catches up. Investors must separate structural AI demand from cyclical price gains.

Sources ​