JPMorgan downgrades NetApp stock rating on memory cost pressures By Investing.com

JPMorgan downgraded NetApp to Neutral from Overweight and cut its price target to $110 from $125, citing slowing growth catalysts and rising memory costs. The firm expects roughly 200 bps of year-over-year gross margin deterioration in fiscal 2027, with mid-single-digit revenue growth through fiscal 2027-2028 and only a gradual return to stronger earnings growth. Recent AI- and storage-related product launches and partnerships support the long-term story, but near-term margin pressure and a higher cost environment are the key concerns.

Analysis

The key issue is not the near-term AI/storage product narrative, but the duration mismatch between revenue catalyzing events and a cost structure that is getting worse faster than demand can inflect. When component inflation outruns shipment growth, management loses the ability to defend margin through mix, and that typically forces either pricing concessions or a slower cadence of buybacks that had been supporting EPS. That makes NTAP less a story stock and more a late-cycle multiple compression candidate if the market starts discounting a multi-quarter gross margin reset.

Second-order winners likely sit one layer down the stack: vendors that monetize enterprise AI infrastructure without the same direct exposure to NAND cost inflation, plus platforms that can pull storage demand into software-defined or subscription-like layers. NVDA is a relative beneficiary if enterprise AI spend does eventually accelerate, because any delayed storage refresh still tends to over-index into compute and networking first. NTNX is also a cleaner comparative beneficiary: if customers remain cautious on capital intensity, integrated software/runtime economics should look better than hardware-heavy storage as CIOs prioritize simplification over throughput.

The risk to the bearish NTAP view is timing, not direction. If AI data management adoption moves from pilot to budget line item over the next two quarters, the market could re-rate the stock before the margin pressure fully shows up in reported numbers. But absent a clear demand acceleration, the nearer-term catalyst path is unfavorable: estimate cuts, multiple de-rating, and weaker incremental FCF conversion over the next 6-12 months.

The consensus may be underestimating how quickly the market can punish companies that have already lost their previous growth engine and are now asking investors to underwrite a later, less certain AI ramp. At ~low-teens to mid-teens earnings multiples, NTAP does not need a disaster to re-rate lower; it only needs earnings visibility to compress. The contrarian bull case is that the market is already pricing in a lot of the bad news, but that only holds if memory inflation peaks quickly and AI-related orders show up materially sooner than expected.

Key Decisions for Investors

• Short NTAP on rallies over the next 2-6 weeks; target a 10-15% downside move if gross margin fears start driving estimate revisions, with a tight stop if management confirms faster AI backlog conversion than expected.
• Pair trade: long NTNX / short NTAP for 1-3 months; thesis is that enterprise buyers will reward software/platform leverage over hardware margin exposure if AI budgets remain selective.
• Buy NVDA on dips as a secondary beneficiary of delayed enterprise AI capex; use any NTAP-led storage weakness as confirmation that infrastructure spend is shifting toward compute first rather than disappearing.
• For options traders, consider NTAP put spreads 3-6 months out to capture a gradual multiple reset while limiting premium bleed; best setup is into any strength from product-launch headlines.
• Avoid fading the move by owning NTAP for dividend/FCF yield alone until memory cost data stabilizes; the risk/reward is asymmetric to the downside over the next 2-3 quarters.