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Prediction: Sandisk Will Reclaim Its All-Time High by the End of the Year

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Prediction: Sandisk Will Reclaim Its All-Time High by the End of the Year

Sandisk reported fiscal 2026 Q4 revenue of $8.97B versus $8.25B guidance, a 51% sequential jump, and guided fiscal 2027 Q1 to up to $10.8B revenue (implying ~20% sequential growth). GAAP net income reached $6.9B, and management highlighted “growing and durable free cash flow,” supporting the bull case that growth is durable despite a post-run stock pullback. Valuation has come down, with the forward P/E falling below 20 and trading at a discount to peers (Amazon 30, Nvidia 23, Broadcom 21), while hyperscalers’ multi-year AI capex plans are cited as mitigating memory downside risk.

Analysis

This is less a one-off earnings beat than evidence that the memory market is still under-earning on tight supply. If SNDK is truly taking share while pricing stays firm, the real losers are weaker NAND operators and any server/storage OEMs that expected a quick cost-down cycle; that raises bill-of-materials risk for AI infrastructure and can slow margin recovery elsewhere in the hardware stack. Relative to MU, SNDK looks like the cleaner expression of NAND tightness, while MU remains more exposed to any normalization in memory pricing and mix.

The near-term tradeable catalyst is not the print itself but the next 1-3 months of hyperscaler capex commentary and contract-price checks. If AMZN/META or other cloud names keep raising infrastructure budgets, the market may re-rate the whole memory complex; if they pause, the stock can de-rate fast because memory earnings are leverage-on-leverage. The key falsifier is rising channel inventory or any evidence that spot/contract NAND prices stop firming before the next quarter.

Contrarian view: the market may be mistaking cyclical earnings power for structural compounding. A sub-20x forward multiple is only compelling if the earnings base is durable; if margins normalize, SNDK becomes a high-beta cyclical with limited valuation support. The better way to own the thesis is tactically and with hedges, not as a blind secular AI winner.

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