NetApp (NTAP) 2026 Evercore Global TMT Conference summary

Financial performance and outlook

• Reported revenue growth both year-over-year and sequentially, with broad-based demand strength and improving enterprise IT and AI spending trends reflected in the FY 2027 guidance.

• Fiscal 2027 revenue is guided to high single-digit growth, with EPS near $9 and gross margins expected to decline by 220–230 basis points year-over-year.

• Operating margins are projected to decrease by about 50 basis points, with OpEx growth planned at less than half the rate of revenue growth to maintain operating leverage.

• Strong cash flow generation in FY 2026, with plans to return up to 100% of free cash flow to shareholders via dividends and buybacks.

• U.S. public sector business represents 10–11% of revenue, saw a 20% year-over-year uptick in Q4, and is expected to return to normal seasonality.

Strategic partnerships and product developments

• Expanded a four-and-a-half-year enterprise agreement with Google for secure hybrid cloud environments, targeting public sector and national security use cases, positively impacting product revenue and gross margin.

• AI Data Engine (AIDE) launched in Q4, enabling customers to improve data quality and visibility for AI use cases, with positive initial customer interest and potential for both software and storage solution sales.

• Public cloud business grew 17–18% in FY 2026, with first-party and marketplace segments up 30% year-over-year and gross margins above 85%.

• Keystone Storage-as-a-Service revenue grew 65% in FY 2026, offering customers flexible OpEx models and maintaining equivalent or better economics over longer periods compared to traditional sales.

Market trends and operational strategies

• Commodity and memory price increases are being managed through price adjustments, portfolio flexibility, and supply commitments, with Q1 expected to be the gross margin trough and gradual improvement anticipated.

• Customers are adopting hybrid flash, all-flash, and cloud solutions based on workload needs and cost sensitivity, with little demand elasticity observed in Q4.

• AI-related deals surged to over 500 in Q4, with half focused on data preparation and modernization, and the remainder on inferencing and model fine-tuning.

• Storage demand is expected to follow increased enterprise compute investments, especially for AI and inferencing workloads, though timing is uncertain.

• M&A will focus on value-enhancing, technology-driven tuck-in acquisitions to maintain competitive advantages.