Sandisk reported revenue up 251% year over year in its latest quarter, driven by a NAND memory shortage tied to AI data-center demand and rising commodity prices. Analysts project another 332% revenue increase next quarter, 166% growth for fiscal 2026, and 116% for fiscal 2027, with EPS reaching $175.62 by fiscal 2027. At 20x earnings, the stock could theoretically reach $3,512 per share, supporting a bullish long-term outlook despite the already sharp 2026 rally.
The key market insight is that this is less a “great company” story than a “tightest bottleneck wins” trade. When NAND is the constraint in AI infrastructure, pricing power can re-rate the whole equity from cyclical commodity multiple to quasi-capacity-call option, but that only persists while customers are still under-shipped and hyperscalers cannot substitute toward DRAM-heavy architectures. The second-order effect is that the real beneficiaries may be adjacent names with exposure to storage demand, packaging, equipment, and controller ecosystems, while downstream buyers face a hidden capex tax as storage intensity rises.
The main risk is not near-term demand collapse but supply response with a lag. Memory markets typically overshoot on both the up and down cycle, so consensus earnings for the next 12 months can be directionally right and still materially overstate normalized power if wafer starts and capex step up into 2027. If the market is already capitalizing peak margin plus peak scarcity, the multiple can compress even while earnings rise, especially if customers begin redesigning systems to reduce NAND content per workload.
The contrarian read is that the embedded optimism may be assuming scarcity lasts long enough to justify a 20x earnings anchor on what remains a commodity-memory business. In a normalization scenario, the stock can still fall hard even after posting exceptional EPS, because the real variable is not earnings level but peak-cycle duration. This sets up a classic late-cycle risk/reward: upside continues if shortages persist another 2-4 quarters, but the downside is abrupt if inventories rebuild or a meaningful supply response hits the market.
For NVDA and INTC, the impact is mostly indirect: higher storage costs can modestly pressure data-center economics and slow marginal AI deployments, but only if NAND inflation outpaces model monetization. That means the cleaner trade is to express the view through memory rather than compute, and to be cautious chasing the narrative after such a large move without a catalyst that extends the shortage into 2H27.
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