NetApp Q1 Results: Webcast and future earnings dates set

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Reviewed by
Jubin VScanX News Team
Key Highlights

NetApp schedules Q1FY27 earnings release for September 2, 2026, with a webcast at 2:30 p.m. PT. The company also confirms future result dates for Q2FY27 through Q1FY28. No financial metrics are disclosed in this notice.

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NetApp (NASDAQ: NTAP) will announce its financial results for the first quarter of fiscal year 2027, which ended July 31, 2026, after market close on September 2, 2026. The filing serves as a notice to investors regarding the timing of the earnings release and the accompanying management discussion. No specific financial metrics, such as revenue or net profit figures, were disclosed in this preliminary announcement.

Webcast Details

NetApp executive management will host a conference call webcast at 2:30 p.m. Pacific Time on September 2, 2026, to discuss the Q1FY27 results and provide their perspective on market dynamics. Investors can access the live webcast call at investors.netapp.com. Participants are advised to allow at least 15 minutes prior to the start of the webcast to log in. An audio replay webcast will be available after 4:30 p.m. Pacific Time.

Future Earnings Calendar

The company outlined its targeted release dates for upcoming quarterly results. These dates provide investors with a schedule for future financial disclosures through the first quarter of fiscal year 2028.

Quarter Targeted Release Date
Q2 FY 2027 December 1, 2026
Q3 FY 2027 March 4, 2027
Q4 FY 2027 June 3, 2027
Q1 FY 2028 September 1, 2027

About NetApp

For more than three decades, NetApp has helped leading organizations navigate change from enterprise storage to the intelligent era defined by data and AI. The company positions itself as the Intelligent Data Infrastructure company, helping customers turn data into a catalyst for innovation, resilience, and growth. Its data platform is built on NetApp ONTAP, enhanced by automation through the AI Data Engine and AFX.

How might NetApp's Q1 FY27 results reflect the broader market adoption of its AI Data Engine and AFX automation tools?

What specific guidance will management provide regarding the impact of generative AI workloads on enterprise storage demand for the remainder of FY27?

Will NetApp address any potential margin pressures or competitive threats from hyperscalers in the upcoming conference call?

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NetApp acquires DataPelago to enable zero-copy AI data activation

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Reviewed by
Anirudha BScanX News Team
Key Highlights

NetApp has acquired DataPelago, a California-based AI data infrastructure company, to integrate GPU-accelerated data processing directly into the storage layer, enabling zero-copy data activation for AI and analytics. The acquisition, for which financial terms were not disclosed, aims to eliminate data processing bottlenecks by processing data where it resides using DataPelago's Nucleus engine. This technology is expected to reduce infrastructure costs by up to 80% and deliver performance up to 10 times faster than conventional approaches.

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NetApp, the Intelligent Data Infrastructure company, has acquired DataPelago, a California-based AI data infrastructure company, to integrate GPU-accelerated data processing directly into the storage layer. The financial terms of the acquisition were not disclosed. This strategic move enables enterprises to discover, govern, and activate data for AI and analytics at the source without moving it to external compute clusters. By embedding intelligence at the infrastructure layer, NetApp aims to eliminate the data processing bottlenecks that hinder AI deployment.

DataPelago will operate as a wholly owned subsidiary of NetApp. The acquisition marks a foundational expansion of NetApp's portfolio, aligning GPU-accelerated data processing with the storage layer. With this acquisition, NetApp establishes itself as the company that makes zero-copy activation of enterprise data for AI real.

Strategic Expansion and Technology Integration

DataPelago's core technology, Nucleus, is a universal data processing engine that uses heterogeneous accelerated computing across CPUs and GPUs. This approach processes data where it resides, reducing infrastructure costs by up to 80% and delivering performance up to 10 times faster than conventional approaches. The technology eliminates the need to copy data from operational systems to AI systems, addressing the primary bottleneck in enterprise AI deployment. The integration of Nucleus into NetApp's infrastructure is designed to provide customers with the agility to process data with zero-copy activation, ensuring that computing resources are utilized efficiently rather than sitting idle.

Executive Perspectives on the Acquisition

George Kurian, Chief Executive Officer at NetApp, emphasized the necessity of intelligent data infrastructure to harness the potential of AI models and chips. He stated that the acquisition extends NetApp's ability to help customers understand and process data with the required agility. Rajan Goyal, Founder and Chief Executive Officer of DataPelago, highlighted the opportunity to combine breakthrough processing technology with NetApp's data infrastructure portfolio to simplify and accelerate AI deployment at scale.

Syam Nair, Chief Product Officer at NetApp, described the Nucleus engine as bringing software-defined acceleration directly to the storage layer. He noted that NetApp manages more enterprise data across more environments than any other company, and the next phase of AI will be determined by the ability to make that data work at the source.

Performance and Efficiency Metrics

Metric Improvement
Infrastructure Cost Reduction Up to 80%
Performance Increase Up to 10 times faster
Data Movement Eliminated (zero-copy)

The acquisition follows recent partnerships by NetApp with Cisco, Google Cloud, Red Hat, and SK Telecom. DataPelago's technology is currently delivering value at large enterprises across multiple industries by accelerating demanding workloads and improving infrastructure efficiency.

How will NetApp integrate DataPelago's technology with its recent partnerships, such as Google Cloud and Cisco?

What are the potential challenges NetApp might face in merging DataPelago's technology with its existing infrastructure?

Could this acquisition prompt competitors to develop similar zero-copy data processing solutions?

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