JPMorgan downgrades NetApp stock rating on memory cost pressures

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 later return to double-digit earnings growth if NAND cost increases moderate. New AI-related storage launches and partnerships support the story, but the near-term setup remains constrained by margin pressure and weaker earnings leverage.

Analysis

The market is likely underestimating how much of NTAP’s earnings durability has been “optics-driven” by mix and buybacks rather than true operating acceleration. When a storage vendor’s prior outperformance came from share gains in all-flash, the slowdown matters less for top-line optics than for valuation multiple support: investors usually pay up for a durable replacement cycle, not for incremental feature launches. The key second-order effect is that a slower NTAP growth algorithm can compress not only its own multiple, but also the implied premium on adjacent enterprise storage names if the market starts treating AI/storage demand as more back-end loaded than consensus expects.

The memory-cost line item is the real short-term catalyst because it attacks both gross margin and the credibility of management’s FY26/FY27 bridge. If NAND inflation remains elevated for another 2-3 quarters, the market will stop asking whether AI products ramp and start asking how much of the installed base can be monetized without sacrificing margin. That creates a window where upside from product announcements is capped, while downside from estimate revisions can continue for months even if revenue holds mid-single digits.

Contrarian take: the sell-side may be over-indexing on near-term margin compression while underappreciating that storage vendors with enterprise mission-critical workloads can pass through cost inflation with a lag. If enterprise AI budgets re-accelerate in H2, the AFX/AI data-management story can work as a sentiment catalyst even without a hockey-stick revenue ramp. But that is a later-cycle optionality trade, not a near-term earnings trade; today the cleaner risk/reward is that the stock remains vulnerable until memory inflation peaks and gross margin revision risk is fully digested.

Key Decisions for Investors

• Short NTAP into any post-downgrade bounce; target a 2-4 month horizon. Risk/reward favors downside to the low-teens P/E range if gross margin revisions continue, with a stop if management signals pricing discipline or demand re-acceleration.
• Pair trade: long NVDA / short NTAP for 1-2 quarters. NVDA benefits if enterprise AI spend is real; NTAP is exposed to the lag between AI enthusiasm and storage monetization. This isolates the theme while reducing broad tech beta.
• Use NTNX as a relative long versus NTAP only on a pullback. If investors re-rate the broader hybrid-cloud stack on AI adjacency, NTNX has cleaner narrative torque and less direct memory-cost exposure; keep size modest because execution risk remains high.
• Sell covered calls on NTAP for investors with existing holdings. The setup favors capped upside over the next 60-90 days while preserving participation if the market simply digests the margin reset rather than re-pricing it aggressively.