Earnings summaries and quarterly performance for NetApp.
Executive leadership at NetApp.
George Kurian
Chief Executive Officer
Beth O'Callahan
Executive Vice President, Chief Administrative Officer and Corporate Secretary
Cesar Cernuda
President
Syam Nair
Executive Vice President and Chief Product Officer
Wissam Jabre
Executive Vice President and Chief Financial Officer
Board of directors at NetApp.
Research analysts who have asked questions during NetApp earnings calls.
Ananda Baruah
Loop Capital Markets LLC
10 questions for NTAP
David Vogt
UBS Group AG
9 questions for NTAP
Simon Leopold
Raymond James
9 questions for NTAP
Wamsi Mohan
Bank of America Merrill Lynch
9 questions for NTAP
Steven Fox
Fox Research
8 questions for NTAP
Tim Long
Barclays
8 questions for NTAP
Jason Ader
William Blair & Company
7 questions for NTAP
Krish Sankar
TD Cowen
7 questions for NTAP
Louis Miscioscia
Daiwa Capital Markets America Inc.
7 questions for NTAP
Mehdi Hosseini
Susquehanna Financial Group
7 questions for NTAP
Samik Chatterjee
JPMorgan Chase & Co.
7 questions for NTAP
Ari Terjanian
Cleveland Research Company
6 questions for NTAP
Asiya Merchant
Citigroup Global Markets Inc.
6 questions for NTAP
Paramveer Singh
Oppenheimer & Co. Inc.
5 questions for NTAP
Aaron Rakers
Wells Fargo
4 questions for NTAP
Amit Daryanani
Evercore
4 questions for NTAP
Erik Woodring
Morgan Stanley
4 questions for NTAP
Meta Marshall
Morgan Stanley
4 questions for NTAP
Nehal Chokshi
Northland Capital Markets
4 questions for NTAP
Michael Cadiz
Citigroup
3 questions for NTAP
Param Singh
Oppenheimer
2 questions for NTAP
Samit Chatterjee
J.P. Morgan
2 questions for NTAP
Sreekrishnan Sankarnarayanan
Wolfe Research, LLC
2 questions for NTAP
Elizabeth Elliott
Morgan Stanley
1 question for NTAP
Hannah
Evercore
1 question for NTAP
Jake Wilhelm
Wells Fargo Securities, LLC
1 question for NTAP
Joseph Cardoso
JPMorgan Chase & Co.
1 question for NTAP
Ruplu Bhattacharya
Bank of America
1 question for NTAP
Timothy Long
Barclays
1 question for NTAP
Victor Chiu
Raymond James
1 question for NTAP
Recent press releases and 8-K filings for NTAP.
- Revenue of $1.71 B (+2.8% y/y) and billings of $1.65 B (+3.8% y/y)
- Non-GAAP gross margin at 72.6% (+60 bps y/y) and operating margin at 31.1% (+250 bps y/y)
- Non-GAAP EPS of $2.05 (+10.0% y/y) and free cash flow margin of 4.6%, with $353 M in capital returns
- First-party and marketplace cloud storage services revenue grew approximately 32% y/y
- Q3 FY26 guidance: revenue $1.615 B–$1.765 B, EPS $2.01–$2.11; FY26 guidance: revenue $6.625 B–$6.875 B, EPS $7.75–$8.05
- Revenue of $1.71 billion in Q2, up 3% YoY (4% ex-Spot), with 70% mix in all-flash and public cloud driving growth.
- Non-GAAP EPS of $2.05, up 10% YoY; gross margin at a record 72.6% and operating margin at 31.1%—both all-time highs.
- Launched AFX disaggregated storage platform and AI Data Engine (AIDE) to accelerate enterprise AI data pipelines.
- Q3 revenue guidance of $1.69 billion ± $75 million (3% YoY growth) and FY26 raised to 71.7–72.7% gross margin, 29.5–30.5% operating margin, and $7.75–$8.05 EPS.
- Returned $353 million to shareholders ( $250 million share repurchases, $103 million dividends); ended Q2 with $3 billion cash vs. $2.5 billion debt (net cash ~$528 million).
- Revenue of $1.71 billion (+3% y/y; +4% ex-Spot) and non-GAAP EPS of $2.05 (+10% y/y)
- All-flash array revenue grew 9% y/y to $1 billion (annualized run rate $4.1 billion); first-party and marketplace cloud storage services revenue up ~32% y/y
- Launched AFX, an ultra-scalable storage platform for AI workloads, and AIDE, an AI data service integrated into ONTAP to simplify data pipelines
- Returned $353 million to shareholders in Q2, including $250 million in share repurchases and $103 million in dividends ($0.52/share)
- Q3 revenue guidance of $1.69 billion ± $75 million (midpoint +3% y/y) and FY 2026 revenue guidance of $6.625–6.875 billion (EPS $7.75–$8.05)
- NetApp reported Q2 revenue of $1.71 billion, up 3% year-over-year (4% ex-Spot), with record gross margins driven by a shift to all-flash and public-cloud offerings.
- Operating income reached $530 million, delivering an operating margin of 31.1% (up 2.4 pp) and EPS of $2.05, a 10% increase year-over-year.
- The company closed ~200 AI infrastructure and data-lake modernization deals in the quarter and launched two AI-focused products—AFX storage platform and the AIDE data engine—to accelerate enterprise AI adoption.
- For Q3, NetApp guides revenue of $1.69 billion ± $75 million (≈3% growth) and gross margin of 72.3%–73.3%; full-year 2026 revenue is expected at $6.625–$6.875 billion, with EPS of $7.75–$8.05.
- NetApp reported net revenues of $1.705 billion, up 3% year-over-year for Q2 FY26.
- Q2 FY26 GAAP EPS of $1.51 and record non-GAAP EPS of $2.05.
- Achieved record Q2 GAAP operating margin of 23.4% and non-GAAP operating margin of 31.1%.
- Returned $353 million to shareholders via share repurchases and dividends in the quarter.
- Provided Q3 FY26 net revenue guidance of $1.615 billion–$1.765 billion and full-year FY26 guidance of $6.625 billion–$6.875 billion.
- Upwind launched the first-of-its-kind dynamic CSPM Exposure Validation Engine, integrating AI-based configuration analysis with real-time external reachability testing.
- The new engine delivers a 90% reduction in false positives and, in initial testing, uncovered tens of terabytes of live cloud exposures previously undetected.
- Upwind reported 4,000% revenue growth between 2024 and 2025 and expanded its customer base to over 200 enterprises, including Peloton, Bill, Fiverr, and Agoda.
- The company was named to the 2026 Fortune × Lightspeed Cyber 60 List and recognized in multiple 2025 Gartner and Forrester CNAPP reports.
- NetApp unveiled a comprehensive enterprise AI data platform featuring NetApp AFX and AI Data Engine, aimed at accelerating retrieval-augmented generation (RAG) and AI inference in hybrid and multi-cloud environments.
- NetApp AFX is a disaggregated all-flash storage system powered by ONTAP, offering linear performance scaling up to 128 nodes, exabyte-scale capacity, and independent performance and capacity growth.
- NetApp AI Data Engine integrates the NVIDIA AI Data Platform reference design to automate data ingestion, preparation, semantic search and governance, ensuring secure, up-to-date data for GenAI applications.
- The update also introduces an object API for direct access to Azure NetApp Files with Azure Data & AI services and a unified international namespace in Azure for seamless global data management.
- NetApp introduced NetApp AFX, a disaggregated all-flash storage system certified for NVIDIA DGX SuperPOD with scalable performance up to 128 nodes and exabyte capacity for demanding AI workloads.
- The company unveiled NetApp AI Data Engine (AIDE), an integrated service built on NVIDIA AI Data Platform that automates data ingestion, preparation and governance across hybrid environments.
- A new object API for Azure NetApp Files lets customers access ANF datasets directly via REST without moving data, enabling seamless integration with Azure services like OpenAI, Databricks and Synapse.
- Enhanced global namespace with FlexCache in Azure NetApp Files provides unified visibility and instant edit access to on-premises and multi-cloud ONTAP data, supporting hybrid use cases such as automated design workflows and disaster recovery.
- NetApp introduced its AI Data Platform, featuring the disaggregated All-Flash NetApp AFX system and the NetApp AI Data Engine built on NVIDIA’s AI Data Platform Reference Design to support large-scale, secure AI workloads.
- NetApp AFX offers linear scalability up to 128 nodes, terabytes-per-second throughput and exabyte capacity with independent performance and capacity scaling, available via purchase or the Keystone STaaS subscription model.
- NetApp AI Data Engine delivers a unified, global view of customer data across on-premises and cloud environments, automates data change detection and synchronization, and integrates policies for security, governance, semantic search and vectorization.
- New Azure-focused capabilities include an Object REST API for direct access to Azure NetApp Files datasets and enhanced FlexCache functionality to unify global namespaces across on-premises and Azure environments.
- NetApp introduced a unified, enterprise-grade data platform for AI, combining the new disaggregated NetApp AFX storage system with the NetApp AI Data Engine co-developed with NVIDIA to streamline and secure mission-critical AI workloads.
- NetApp AFX offers linear performance scaling up to 128 nodes, 128 TB/s bandwidth and exabyte-scale capacity, with independent performance and capacity expansion for demanding AI environments.
- NetApp AI Data Engine delivers end-to-end AI data services—from ingestion and semantic search to governance—with NVIDIA-accelerated compute, automated data synchronization and built-in security controls.
Quarterly earnings call transcripts for NetApp.