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Date

Thursday, May 28, 2026 at 5:30 p.m. ET

Call participants

• Chief Executive Officer — George Kurian
• Chief Financial Officer — Wissam G. Jabre
• VP, Investor Relations — Kris Newton

Takeaways

• Revenue -- $1.95 billion, up 12% year over year and 14% sequentially, compared to the fourth quarter of fiscal 2025.
• Non-GAAP earnings per share (EPS) -- $2.43, representing 26% year-over-year growth and surpassing the high end of guidance.
• Public cloud revenue -- $182 million for the quarter, up 11% year over year; excluding Spot, grew 18% year over year.
• Product revenue -- $966 million, up 14% year over year, boosted by a major agreement with Google Cloud.
• Hybrid cloud revenue -- $1.77 billion in the quarter, increasing 13% year over year.
• All flash revenue -- $1.2 billion in the quarter, up 18% year over year; $4.2 billion for the fiscal year, up 11% year over year.
• Keystone storage as a service revenue -- Grew approximately 65% year over year, reflecting increased customer adoption.
• Support revenue -- $688 million in the quarter, up 10% year over year, with a boost from a onetime item.
• Professional services revenue -- $112 million, up 11% year over year, mainly due to Keystone growth.
• Gross margin -- 70.5% for the quarter, rising 100 basis points year over year, led by public cloud margin expansion.
• Public cloud gross margin -- 85.7% for the quarter; exceeded the 80%-85% long-term target in the last two quarters.
• Product gross margin -- 56.1% in the quarter, up 80 basis points sequentially; segment margin guidance expects trough in July, then gradual improvement.
• Operating income -- $624 million, up 26% year over year; operating margin at a record 32%, up 340 basis points year over year.
• Free cash flow -- $900 million for the quarter, up over 40% year over year, driven by increased collections.
• Deferred revenue -- $4.85 billion at fiscal year-end (April 24, 2026), up 7% year over year in actual and 6% in constant currency.
• Remaining performance obligations (RPO) -- $5.65 billion, up 14% year over year; unbilled RPO $807 million, up 88% year over year.
• Shareholder returns -- $303 million returned in the fourth quarter ($200 million share buybacks, $103 million dividends); $1.36 billion returned in fiscal 2026.
• Share repurchase authorization -- Increased by $1 billion following quarter-end, with $500 million still available at end of the fourth quarter.
• AI revenue impact -- 500 AI/data prep wins in the fourth quarter and over 1,100 for the full year, up from 400 prior year; all 500 fourth quarter wins were on-premises.
• Expanded Google Cloud partnership -- Recent agreement for Google Distributed Cloud, enabling NetApp technology in sensitive, sovereign environments and expanding addressable market.
• Fiscal 2027 guidance—revenue -- Anticipated range: $7.325 billion-$7.575 billion; midpoint implies 8% year-over-year growth.
• Fiscal 2027 guidance—gross margin -- Expected in the 68.5%-69.5% range.
• Fiscal 2027 guidance—operating margin -- Expected between 29.1%-30.1%.
• Fiscal 2027 guidance—EPS -- Expected range: $8.70–$9.00; midpoint represents 9% year-over-year growth.
• First quarter fiscal 2027 guidance—revenue -- Projected range of $1.75 billion-$1.9 billion; midpoint implies 17% year-over-year growth; includes an extra week contributing $65 million.
• First quarter fiscal 2027 guidance—gross margin -- Projected in the 69.1%-70.1% range.
• First quarter fiscal 2027 guidance—operating margin -- Projected range: 28.4%-29.4%.
• First quarter fiscal 2027 guidance—EPS -- Anticipated between $2.05–$2.15; midpoint $2.10.
• Dividend -- Paid $0.52 per share in the fourth quarter.
• Cash and debt -- $3.58 billion in cash/short-term investments, $2.49 billion gross debt, net cash $1.1 billion at fiscal year-end.
• Inventories and turns -- Inventory turns fell sequentially to 12; inventories expanded year over year and quarter over quarter.

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Risks

• Wissam G. Jabre stated, "July quarter is more or less the trough." for product gross margin due to elevated component costs. Improvement is only expected as price increases take effect over subsequent quarters.
• Management acknowledged the potential need to continue adjusting prices to balance rising memory and component costs while maintaining customer demand and competitive positioning.
• George Kurian highlighted, "are probably you know, some amounts of pull forward" in demand behavior. He emphasized these dynamics have been factored into planning given customer budget timing and supply chain variability.
  • Total inventories increased and turns decreased sequentially.

Summary

NetApp (NTAP +22.39%) delivered record quarterly and annual financial results underpinned by substantial growth in cloud, all flash, and Keystone segments, propelled mainly by broad-based enterprise AI adoption and recent strategic agreements. The company cited 500 on-premises AI and data preparation wins in the quarter and expanded relationships with Google Cloud and a top-five Neo Cloud provider, shifting the customer mix and extending NetApp's reach into regulated and sovereign environments. Fiscal 2027 revenue guidance implies acceleration to 8% growth, with management pointing to strong recurring revenue, robust deferred and unbilled performance obligations, and a doubling of AI win activity versus the prior year as key demand drivers, while maintaining disciplined capital allocation for continued shareholder returns.

• The company confirmed that all 500 AI wins reported for the quarter were from on-premises deployments and split use cases into roughly 50% data preparation/analytics, and the remaining split between large language model training/fine-tuning and inference workloads.
• KPI expansion included record operating and free cash flow generation for both the fourth quarter and the full fiscal year, with a stated intent to return up to 100% of free cash flow to shareholders next year.
• Hybrid and all flash segments demonstrated not only volume increases but also higher customer engagement driven by AI workloads. Ongoing inventory and pricing adjustments in response to component cost pressures were explicitly outlined by management.
• Keystone and public cloud services both outpaced overall growth, supported by evolving customer consumption models and expanded first-party and marketplace offerings. Management flagged cloud segment margin expansion as a tailwind.

Industry glossary

• All flash arrays (AFA): High-performance storage systems using only solid-state drives, rather than spinning disks, for primary data workloads.
• Keystone: NetApp's storage-as-a-service (STaaS) offering, providing flexible consumption-based infrastructure for on-premises and hybrid environments.
• Neo Cloud: Refers to new, nontraditional or hyperscale cloud providers targeting differentiated enterprise or regional/sovereign market segments.
• AFX: NetApp’s new all-flash storage architecture designed for low latency and high throughput AI workloads, deployed in scale-out and disaggregated environments.
• AI Data Engine (AIDE): NetApp’s software solution to ingest, index, and prepare unstructured data for enterprise AI projects, designed for both existing and new clients.
• Google Distributed Cloud: A Google Cloud offering that brings cloud services, including AI, to customer-controlled, sovereign, or disconnected data centers, with NetApp supplying core data infrastructure.
• Spot by NetApp: The company's previously owned public cloud cost-optimization and management solution, divested in March 2025.
• Support revenue: Recurring income from maintenance contracts related to NetApp hardware and software products.
• Professional services revenue: Income from consulting, migration, implementation, and related data-management and transformation services.
• First party cloud services: NetApp-powered data storage offerings sold directly via leading public cloud providers' marketplaces or native services, as opposed to partner-driven or resale channels.

Full Conference Call Transcript

George Kurian: Good afternoon, everyone. Thank you for joining us. FY 2026 was a landmark year for NetApp. With record results across revenue, gross profit, operating income, cash flow for operations, and free cash flow, supported by strong customer demand in the fourth quarter. Our performance demonstrates our ability to capitalize on the accelerating adoption of enterprise AI and cloud. With our differentiated hybrid cloud, intelligent data infrastructure platform, trusted by the world's leading enterprises and cloud providers NetApp is increasingly at the center of our customers data driven AI transformations. Achieving our full year target of 30% operating margin underscores our commitment to profitable growth and ongoing innovation.

NetApp stands at the forefront of a transformative era driven by rapid AI adoption explosive cloud growth. Enterprises are reimagining how they operate, and compete and only NetApp delivers truly hybrid intelligent data infrastructure. On premises and in the cloud all flash and hybrid flash to seamlessly protect secure, govern, and activate the entire data estate for AI. Our 30 years of innovation and leadership in hybrid multi cloud environments are more relevant than ever as our vision of a hybrid world is realized. As enterprise AI adoption scales, the primary challenge is not compute, but activating large volumes of unstructured data. A significant share of the world's enterprise unstructured data resides on NetApp Solutions.

And our ability to activate it securely and efficiently across hybrid and multi cloud environments gives us a powerful competitive advantage. As the only true hybrid cloud platform, unifying data governance across on premises and cloud environments, we enable zero copy data activation. Eliminating the cost and risk of moving data and transforming fragmented infrastructure into a secure launch pad for real time AI and automation. Our value proposition is resonating strongly with customers and the industry. Our storage services on AWS Azure, and Google Cloud empower customers to protect mobilize, and govern their data with unmatched flexibility and consistency regardless of location. This capability is increasingly critical as customers launch and scale their AI initiatives.

By integrating our data infrastructure platform, with the AI and analytics offerings of leading cloud providers, customers can activate their data for AI workloads in place where it is created. Without costly or time consuming migration or duplication. Making NetApp the secure zero copy foundation enterprises need to move from fragmented infrastructure to real time AI at scale. We fueled nearly 50 partner AI and labs, as they build out their real world test beds to accelerate AI deployment. A recent example of this is that World Wide Technology live AI proving ground where NetApp AFX all flash storage is featured. Allowing customers to test architectures, validate performance, and quickly move. From experimentation to deployment.

This collaboration highlights the large opportunity ahead as enterprises look for trusted partners to operationalize AI confidently. We see growing opportunity and success with Neo, and sovereign cloud providers who recognize the strength of our differentiated solutions and our joint go to market initiatives with leading hyperscalers. These partnerships reinforce our position as a trusted collaborator in the evolving cloud ecosystem. A leading Neo Cloud turned to NetApp, for intelligent all flash storage infrastructure eliminating complexity and powering orchestration at cloud scale. The new deployments will help accelerate AI onboarding and time to value. With this win, we can begin to expand into other workloads to become the foundational data layer.

Another significant achievement is our expanded partnership with Google Cloud for Google Distributed Cloud which underscores both the growing opportunity in AI and sovereign cloud environments and the strength of our technology. This collaboration enables government agencies and regulated enterprises to leverage advanced AI capabilities from Google and NetApp secure by design data platform, to modernize operations and accelerate AI driven insights even in the most sensitive environments. We achieved record revenue in Q4 and FY 26, driven by public cloud, all flash, and Keystone. Which all reached all time highs, reflecting strong demand from customers modernizing infrastructure and scaling AI workloads. Public cloud revenue grew to $688 million in FY 26 up 18% year over year.

Normalized for the divestiture of the Spot by NetApp business, in March 2025. This growth was driven by first party and marketplace cloud services. Which increased 30% in FY26. We are seeing growing demands from both new and existing customers to extend NetApp's capabilities deeper into their cloud environments. Customers are increasingly choosing NetApp to simplify and scale their hybrid and multi cloud environments leveraging our unified data management capabilities for operational consistency and agility. Our expanding cloud portfolio is unlocking new use cases and verticals including AI, fueling growth and expanding our addressable market.

For example, a leading insurance company accelerated financial risk modeling and data science, by connecting Azure Databricks directly to their data and Azure NetApp file ensuring security governance, and performance. Similarly, an Asian engineering company streamlined its GenAI chatbot deployment on AWS by leveraging FSx for NetApp ONTAP. Allowing secure permission aware access to data in place and reducing operational overhead. Across these wins, the common thread is NetApp's ability to deliver secure, governed, high performance data access for AI workloads. Enabling customers to innovate faster and operate more efficiently all while maintaining control and compliance. FY 2026 all flash revenue was $4.2 billion an increase of 11% from last year.

Propelled by robust Q4 performance with revenue of $1.2 billion up 18% year over year. Customers are choosing NetApp to power their most mission critical workloads. And our momentum in this segment is a testament to the strength of our innovation and go to market execution. A prime example of this is a European aerospace company that shows NetApp displacing competitors in a greenfield win. The data management capabilities of NetApp all flash arrays stood out for their high performance cyber resilience, and ransomware protection as well as seamless integration with a broad ecosystem of partners. Our comprehensive solution delivered the security simplicity, and strategic value needed to support critical initiatives.

Revenue from our Keystone storage as a service offering grew approximately 65% from FY 25 as more customers embrace the flexibility and simplicity of a cloud like experience for their on premises data. This momentum reflects the broader shift towards consumption based IT models, and our ability to meet customers wherever they are on their transformation journey. A leading manufacturer chose NetApp Keystone with all flash and storage grid to support its AI strategy requiring a secure flexible platform for massive datasets Keystone delivers secure, governed self-service at scale, enabling rapid collaboration predictable on demand performance. Our unified platform streamlines data management with multi protocol support, native s 3 tiering, and cloud integration for maximum efficiency.

AI was a clear growth engine for us in FY 2026. We had approximately 500 AI and data preparation wins in Q4 alone. Bringing the FY 2026 total to over 1.1 thousand. Our ability to help customers operationalize AI at scale, accelerate time to insight, and drive real business outcomes is putting us increasingly at the center of our customers AI journeys. In FY 2026, we furthered our AI innovation, launching next generation solutions including AFX and AI data engine, which are seeing strong early momentum and positive feedback from customers and partners. Additionally, we announced enhancements to the performance and capabilities of our all flash arrays and expanded our converged AI solutions.

These offerings help organizations simplify their AI infrastructure, eliminate silos, and accelerate their data pipelines. Reinforcing NetApp's role as the data infrastructure platform for AI. Let me walk through a couple of additional customer wins that spotlight NetApp's competitive advantages. A European government agency required real time situational awareness with ultra fast latency free data processing. NetApp's disaggregated AFX solution for their NVIDIA SuperPOD environment enabled independent scaling of compute and storage, delivering flexible future proof infrastructure. Our rapid execution and expertise empowered a robust mission critical AI platform to meet evolving operational demands. A global financial leader signed a $20 million deal with NetApp to accelerate its AI driven fraud detection and customer personalization.

NetApp's GPU ready low latency data lake platform delivers high performance to multi petabyte datasets enabling global real time fraud scoring continuous model retraining, and robust enterprise governance and resiliency. it is high impact wins like these that helped us achieve record setting results while navigating a dynamic macro environment. We are managing rising memory and component costs, by working closely with our supply chain partners and adjusting pricing to balance growth and margins. Data generation continues unabated, and customers need solutions that best optimize performance and cost. Our ability to offer a broad range of solutions with flexible purchasing options including cloud, Keystone, and hybrid flash, strengthens our competitive position, resilience, and flexibility.

FY 2026 also set a new bar for cash generation. Our strong free cash flow enables us to invest in innovation, while returning value to shareholders through dividends and share repurchases. We remain committed to disciplined capital allocation and long term value creation. I want to thank the entire NetApp team for their customer centric focus and hard work in FY 2026. It was a year of strong execution, innovation, and accelerating growth. It is a proof that our strategy is working and our portfolio is resonating in the market. The investments we made this year have expanded our opportunities and set a solid foundation for future growth.

Looking ahead, we are encouraged by the robust demand signals we are seeing and are confident in our ability to maintain this momentum as reflected in our fiscal year 27 outlook. Our hybrid multi cloud leadership differentiated AI offerings, and flexible storage and consumption offerings position NetApp for continued success as customers accelerate their data driven AI transformations. With that, I will turn the call over to Wissam. Thanks, George.

Wissam G. Jabre: And good afternoon, everyone. In the fiscal fourth quarter, we delivered strong results exceeding the high end of both the revenue and EPS guidance ranges. Revenue for the quarter was $1.95 billion up 12% year over year and 14% sequentially. Non GAAP earnings per share was $2.43 up 26% year over year. Excluding the divested spot business, which generated $9 million of revenue in the fourth quarter of the prior year, revenue grew 13% year over year. Revenue was up 10% year over year, excluding the effect of foreign currency exchange rates, which had little impact relative to guidance. This marks our tenth consecutive quarter of year over year revenue growth.

Looking at revenue by segment, hybrid cloud revenue of $1.77 billion was up 13% year over year. Product revenue of $966 million was up 14% year over year, driven by the execution of a multiyear agreement with Google Cloud to deliver secure, AI ready data infrastructure to Google distributed cloud environments. In prior quarters, we mentioned the potential for large deals to materialize in the second half of fiscal year 26. And this came to fruition in Q4. Support revenue of $688 million was up 10% year over year. Partly driven by a onetime item.

Professional services revenue of $112 million was up 11% year over year, mainly driven by growth in keystone, our storage as a service offering, which continues to build momentum. Q4 public cloud revenue of $182 million was up 11% year over year. Excluding spot, public cloud revenue grew 18% year over year, driven by a strong demand for first party and marketplace storage services. We exited fiscal year 26 with $4.85 billion in deferred revenue, an increase of 7% year over year and 6% year over year in constant currency. Remaining performance obligations were $5.65 billion up 14% year over year. Unbilled remaining performance obligations, a key indicator of future Keystone storage as a service, revenue growth, were $807 million.

Up 88% year over year. This outperformance was driven by an increase in support performance obligations associated with the Google agreement, as well as Keystone unbilled RPO, which grew at a similar rate to the prior quarters on a year over year basis. Moving to the rest of the income statement. Please note my comments will be related to non GAAP results unless stated otherwise. Q4 gross margin was 70.5% up 100 basis points year over year driven by public cloud gross margin expansion. Gross profit was $1.37 billion up 14% compared to Q4 25. Hybrid cloud gross margin was 69%, down 60 basis points sequentially due to higher product revenue in the quarter.

Product gross margin was 56.1%, up 80 basis points sequentially due to the benefit from the Google Cloud enterprise agreement offsetting higher component costs. Our recurring support business continues to be highly profitable, with gross margin of 93%. Professional services gross margin was 32.1%, improving 80 basis points sequentially. Public cloud gross margin was 85.7%, up 60 basis points sequentially and over 6 percentage points year over year. The public cloud business has operated within the 80 to 85% long term target range in the first half of the fiscal year, and above the high end of that range in the last 2 quarters. Operating expenses of $750 million were up 6% year over year and 9% sequentially.

Operating income was $624 million up 26% compared to Q4 25, and operating margin was 32% up 340 basis points year over year both all time records driven by higher revenue. Earnings per share was $2.43 up 26% year over year and exceeding the high end of the guidance range. Our results demonstrate strong execution on key revenue growth opportunities in all flash, public cloud, and AI, along with a continued focus on operational discipline, resulting in record highs for quarterly operating income and EPS. In Q4, cash flow from operations was $950 million and free cash flow was $900 million both up over 40% year over year and all time records.

These strong cash flow metrics were driven by increased collections from higher billings. During the fourth quarter, we returned $303 million of capital to our shareholders $200 million in share repurchases and $103 million paid in dividends of $0.52 per share. Q4 diluted share count of 199 million decreased by 7 million shares or 3% year over year. At the end of the fiscal year 26, there was approximately $500 million remaining from our current share repurchases authorization, And today, we are announcing an increase in that authorization by $1 billion. Moving to a review of our results for the full fiscal year 2026.

Revenue of $6.93 billion was up 5% year over year, exceeding the high end of our guidance range. Excluding the divested spot business, revenue was up 7% year over year and in line with our long term target model. Our strict focus on operating leverage allowed us to drive bottom line profitability at a faster pace, all contributing to record highs in operating margin, EPS and cash flow. Gross margin was 71.3%, up 20 basis points year over year driven by public cloud and professional services gross margin expansion and partially offset by lower product gross margin.

Operating margin was 30.2%, up 190 basis points year over year driven by 1% year over year growth in operating expenses relative to 5% year over year revenue growth. Full year EPS was $8.13 up 12% year over year. More than double the rate of revenue growth. Operating cash flow was $2.07 billion and free cash flow generation was $1.87 billion up close to 40% year over year primarily due to stronger cash collections and net working capital benefits. Our balance sheet remains very healthy as we returned a total of $1.36 billion in value to our shareholders through share repurchases, and cash dividends. all while we continue to invest in the next generation of AI data solutions.

We closed the year with $3.58 billion in cash and short term investments, and $2.49 billion in gross debt outstanding. Resulting in a net cash position of $1.1 billion. Inventories expanded both year over year and quarter over quarter, Inventory turns decreased sequentially to 12. Now turning to non GAAP guidance starting with fiscal year 27. Let me begin by underscoring the confidence in our strategy and in the strength of our position as we address key customer priorities. Our guidance reflects a solid underlying enterprise IT demand environment with enterprise AI activity increasing relative to fiscal year 26. At the same time, we recognize the potential for pockets of demand driven by accelerated purchasing.

We also remain focused on adjusting prices as needed to track any material movements in memory and component costs. While maintaining a disciplined balance between growth and margin. On that basis, we expect fiscal year 27 revenue to be in the range of $7.325 to $7.575 billion. At the $7.45 billion midpoint, this implies 8% year over year growth. Representing an acceleration from the 5% growth we successfully delivered in fiscal year 26. We expect gross margin to be in the range of 68.5% to 69.5%. We expect operating margin to be in the range of 29.1% to 30.1%. For the full year, we expect the effective tax rate to be in the range of 20% to 21%.

We expect EPS to be in the range of $8.70 to $9.00 At the $8.85 midpoint, this represents 9% year over year growth. In fiscal year 27, we intend to return up to 100% of free cash flow to shareholders through cash dividends and share repurchases. We also expect to reduce share count by low single digit percentage points year over year. Now turning to Q1 guidance. As a reminder, Q1 includes an extra week, which is expected to contribute $65 million of revenue primarily in support and cloud. With a minimal impact on product. And to add $21 million of operating expenses. We expect revenue to be in the range of $1.75 billion to $1.9 billion.

At the $1.825 billion midpoint, this implies 17% year over year growth. We expect gross margin to be in the range of 69.1% to 70.1%, and operating margin to be in the range of 28.4% to 29.4%. We expect EPS to be in the range of $2.05 and $2.15 a midpoint of $2.10. In closing, as we look ahead to fiscal year 27, we are confident in our strategy and execution capabilities. We remain focused on delivering revenue growth and profitability increasing free cash flow and creating sustainable long term value for shareholders. With that, I will turn the call over to Chris for Q&A.

Kris Newton: Thanks, Wissam. Operator, let's begin the Q&A.

Operator: Thank you. If We will now begin the question and answer session. We also ask that you limit yourself to 1 question and 1 follow-up. For any additional questions, please re queue. And your first question comes from David Vogt with UBS. Please go ahead.

Analyst (David Vogt): Great. Thanks guys for taking my question. Maybe George for you, can you touch on sort of the demand strength again? You provided in the call, but All Flash was exceptionally strong in the quarter. And just we are going to get a lot of questions on sort of the cadence of that demand. How was it from a linearity perspective? Did the price changes in the industry have an impact on demand? Anything that you can provide from a color perspective or granularity would be helpful in how we think about the demand drivers particularly as we move into subsequent quarters for the full year, that would be helpful as well. Thanks. And then I have a follow-up.

Thank you for your question.

George Kurian: Momentum in the business was very, very strong. IT spending is forecasted to be up strongly driven by enterprises readying for AI, and we are seeing that across all segments of our business. Cloud, flash, AI, and Keystone. And it shows the differentiation in our offering. As well as solid execution by our customer facing team. We have seen some accelerated decision making but we also know that most customers do not have the flexibility to do so. On the face of the Q4 p and l, the impact of pull forward or accelerated decision making was minimal. Our Q4 results were tied to the big deals we told you to expect when we guided the fiscal year.

And we see really strong outlook for this coming year, powered by our confidence in our position and what we see as growing evidence that enterprise AI is happening in front of our eyes.

Analyst (David Vogt): Great. And maybe 1 for Wissam on product gross margin. Obviously, it is a very challenging component backdrop, DRAM, NAND, and other issues. If I just kind of take your public cloud business and I kind of strip out support as well, it kind of looks like product gross margin could be near a trough in the July quarter and kind of stay relatively stable from a product perspective as we move through the year? Is that kind of what you are suggesting based on the outlook for the year?

Wissam G. Jabre: Yes. Thanks, David. Think you got it right. For us, July quarter is more or less the trough. And from there on, we are anticipating gradual improvements. Really, we have been taking a lot of actions in terms of price adjustments as we see component cost increase. And so those price adjustments will start seeing more and more effect as the year progresses. And so that is really the dynamic driving the product gross margin.

Analyst (David Vogt): Great. Thanks, guys.

Operator: Your next question comes from the line of Amit Daryanani with Evercore ISI. Please go ahead.

Amit Daryanani: Yep. Thanks for taking my question. You know, I guess maybe I will just ask on the all flash array side. Revenue obviously accelerated pretty well at 18% growth. George, I heard you on the limited polling dynamic, but I was wondering is the way to think about if ASP was a bit of a tailwind versus unit growth. Is there a way to think about that? And then how do you think of AFA growth broadly into 2027? Maybe I will ask my follow-up as well. Which is, you know, we are starting to see a fairly strong growth, I think, from the traditional service side driven by enterprises starting to get more and more AI ready.

How should investors think about the attach rate and opportunity between AI compute deployments that are happening at a big rate right now and that attach rate to the high performance storage that, you folks sell. Thank you very much.

Operator: Thank you for your question.

George Kurian: Our AI business performed really strongly in the quarter. You know, we noted about 500 AI wins in the quarter, 1.1 thousand for the full year. Those compared to roughly 400 for the whole of the prior fiscal year. So you are seeing strong uptick in enterprise AI. In enterprise AI configuration, the you know, all elements of our flash portfolio performed strongly. High performance flash, capacity flash, and block storage. And so we see customers deploying these high performance compute and storage environment to make sure that the GPUs are fully used. You know, they are expensive GPUs. They need to be fed with a lot of data.

What we also saw was that in the nondemanding AI environment, customers are starting to buy more of hybrid flash. Which we are uniquely positioned to deliver under a single operating system. So both sides all flash and hybrid flash grew and all flash grew particularly in the AI use cases, Amit.

Operator: Your next question comes from the line of Erik Woodring with Morgan Stanley. Please go ahead.

Erik Woodring: Hey, guys. Thank you. Thank you for taking my questions. George, you called out the 500 AI wins in 4Q. Is there a way that you can help us think about how much of your fiscal 2027 revenue guide is driven by some of these secured and anticipated AI wins. And just curious on those AI wins, is there a way that you can kind of parse out what is part of public cloud versus what is on prem solutions? And then a quick follow-up, please.

Analyst: Thank you.

George Kurian: All of the 500 AI wins are on prem wins and they combine a mix of enterprise as well as NeoCloud. I think if you look at the mix of the use cases they are, you know, roughly the same pattern as we saw before. Half of them are really tied to data preparation large scale analytic environments that are now being operated under GPU compute And then the remainder are roughly half and half between training and fine tuning large language model and inferencing. So it is roughly 50%, 25%, 25%, roughly speaking, That pattern has stayed pretty similar through all of the year.

In terms of the how we see that play into our business next year in fiscal year 27, Listen. This is what gives us confidence to show an acceleration in our business. We think that the strength is broad based, across segments and verticals. And geographies we think that we are very well positioned because of our installed base of data a hybrid cloud data infrastructure pipelines that make it much easier for customers to use AI. And the fact that we can offer customers life cycle cost management from super high performance flash to exceptionally cost effective disk based environment. So we are optimistic We see the demand. We see the momentum in our business.

And we are investing some additional sales resources just like we did last year to support our outlook. Okay. Amazing. Thank you for that color, George.

Wissam G. Jabre: And just a quick follow-up for you, Wissam. You know, some of your peers are kind of messaging expanding storage gross margins this year. I am wondering, as we think about your gross margin guide, is there a degree of kind of prudence or conservatism that you are trying to embed there just given we are kind of in unprecedented pricing territory? Or is there kind of enough component cost pressure that you see today that regardless, it would be challenging to expand margins? We would just love to know maybe the conservatism that you are thinking about as you think about your gross margin guide for the full year. Yes. Thanks, Erik.

So, look, the guide is based on the information we have at this time. And we look at what how the business would develop through the next few quarters and based on what we know from a component cost. Perspective. Now granted, if component costs vary moving forward, we would continue to take action to make sure we mitigate the impact to margins. And, of course, we will do whatever we can to improve from that. When you look at so this is really the comment around the product gross margin.

I do have to just say a reminder here that we are not really moving from our long term long term goal or target from a product gross margin, which really is still is the mid-50s to high-50%. And so that is still in our long term target, and we will we will still strive to get there in the future. What we also are looking at, we look overall at the total gross margin for the company. And when you look at a total gross margin for the company, you know, the public cloud business has seen some really nice uptick in fiscal 26.

And as that business grows, it does give us a bit of a nice tailwind to the to the margin line. And the same thing for the Keystone business that continues to grow at a nice pace and build momentum and that has a little bit of a tailwind as well. The and maybe the last few comments I will make here on margin, it is you know, we also are targeting gross profit because, obviously, that is what drives our earnings power. And so we look at gross profit growth year over year as well as something that we continue to make sure we improve.

Operator: Your next question comes from the line of Wamsi Mohan with Bank of America. Please go ahead.

Wamsi Mohan: Yes. Thank you. George, can you can you talk about your or how you are seeing your large deal pipeline evolve Lou obviously saw strength in the quarter that you had messaged previously. But is that strength something that we expect that we should expect will sustain and what is baked into guidance? And I have a follow-up I think what we saw in the large deal pipeline were some related to infrastructure modernization, that you could say could be people, you know, bringing forward spending.

George Kurian: But a very large part of the pipeline were related to AI win. And those were projects that we had worked on and some that we saw accelerate as the, you know, business needs came on. What I feel really, really good about is the fact that especially in our AI business, the number of customers who we are able to win in accounts that are not traditionally NetApp large installed base accounts have been super strong. And so what that gives me confidence is we are winning on customers' business priorities which are durable even in the face of commodity price variations.

Wamsi Mohan: Okay. Thanks, George. And maybe just on the pull forward, like, sounds like you know, you really did not see much evidence of pull forward and large deals drove the upside in the quarter. But as we talk to, like, resellers, it seems like a lot of the annual budget is being spent in the first half of the calendar year. We are hearing about a scramble for securing supply from customers. So just curious, you know, why would you not have seen that customer behavior of trying to accelerate purchases in the first half ahead of price increases and maybe some sense of how you are thinking about the cadence of price increases from here.

You already instituted some, but are you thinking about the cadence of price increases on go forward basis? Thank you.

Operator: Thanks for your question, What I said was that on the face of the Q4 p and l, the impact of pull forward demand was minimal.

George Kurian: Our Q4 results from a revenue standpoint were tied to big deals. That we told you about when we guided the fiscal year. We are seeing some accelerated decision making and we also know that many customers cannot--do not have the flexibility to do so. And so our goal is to make sure that we can meet customer demand We can balance cost and availability of supply. And that we can maintain lead time within customers' normal expectation.

We feel really good about the momentum in our business, and we will tell you more about our business through the course of the year what I what I feel confident about is that we have factored in, to the best of our knowledge the risks of pull-ins and the dynamics that creates through the through the fiscal year, and we will tell you more about it as part of our, you know, go-forward plan.

Operator: Your next question comes from the line of Timothy Long with Barclays. Please go ahead. Thank you.

Timothy Long: 1 and a follow-up if I could. First, maybe just talking about the public cloud revenues. I think you have talked about 18% growth ex spot and you know, 30% on the first party storage. As we head into next year with no spot, just curious how you are thinking about sustainability of the growth rate there, and does the Google deal in the quarter impact that at all? And then on the follow-up, on Keystone, sounds like really good growth again.

Do you think this is, you know, simply just, you know, wanting to find other ways to deal with a higher NAND pricing, or is this, you know, more durable than just, you know, a pricing or, you know, payment mechanism. So we would love your views on both of those. Thank you.

George Kurian: Yeah. Thank you for your question. On public cloud, we continue to see super strong demand for our cloud storage services. Both first party and marketplace. They grew 30% year on year And given their growth rate relative to the rest of the cloud portfolio, they are, as you can imagine, the predominant part of the cloud business overall. We see continued momentum in that part of our business, which should cause cloud to grow faster next year than it did the prior year at really strong gross margin. Super excited about the cloud. Lou know, we did a lot of innovations through the course of the year.

We are, as I said in my comments, starting to see some of the AI use cases also show up in the cloud and customers starting to use our tools in the cloud for AI use cases. With regard to Keystone, you know, we see a broad based shift in the market towards consumption based offerings like Keystone Some of that is driven by customers having used public cloud and now getting confident about how to operate their own environment like the public cloud. There was possibly some customers who bought Keystone because they felt that it would be a more optimal way to balance cost and use in the time of inflationary cost.

But in general, a storage as a service business should grow faster than our traditional business.

Operator: And, Timothy, just to clarify, I think part of your question on public cloud included the Google agreement.

Wissam G. Jabre: I just wanna clarify that the agreement is more in the hybrid cloud segment. So this is, of course, independent of all the comments that George just made. It helps our hybrid cloud business, which is what helps us in Q4, and we will just like any hybrid cloud agreement and business, it will help us also going forward on the support revenue as well.

Timothy Long: Okay. Thank you. You are welcome.

Operator: You are--your next question comes from the line of Samik Chatterjee with JPMorgan. Please go ahead.

Samik Chatterjee: George, maybe just to go back to your response earlier to Wamsi's question. About you are seeing some accelerated decisions from customers, although some of them cannot really change those decisions right now. You also have this impact of 1 extra week in Q1. Typically, you ended up with, I think, 48% of your revenue in the first half of the year. You expect, like, the yield to look very different from maybe some of your prior years because of the dynamics going on right now?

George Kurian: We think as we said, you know, we think that we have broad based durable demand in our business. Driven by customers prioritizing data infrastructure for AI. And you saw that in our Q4 print which did not benefit the results in the quarter on the p and l did not benefit from any pull forward. We see the same, roughly speaking, demand pattern at the start of the new fiscal year, which is you know, the first half and the second half, like you said, Samik, roughly in the same you know, kind of percentages. Adjusting, of course, for the extra week in the first quarter.

So it is early in the year, We feel really good about the momentum in our business. We acknowledge that there are probably you know, some amounts of pull forward but the demand is broad based, and we will provide you updates as we go through the year.

Samik Chatterjee: Got it. Got it. And then maybe just help me think through for sorry. For my follow-up, the Google, the agreement that you had with Google. Related to the hybrid cloud business. I am trying to think around sort of what opportunity that creates for you. Is it in specific customer verticals? Trying to frame what of what the size of that opportunity would lead to. Thank you.

George Kurian: Yeah. Google Distributed Cloud is where Google brings its advanced technology stack to a disconnected or lightly connected data center. It could be for regulated industries. It could be for public sector environment. It could be for national security environment. And NetApp was chosen by Google to be a large chunk of the data infrastructure within the Google Distributed Cloud architecture. So there are 2 benefits to NetApp. 1, of course, it allows us to broaden our reach into sovereign and secure environments. That are incrementally TAM expanding for NetApp. And second, it allows us to build these really secure differentiated hybrid infrastructures of across on premises and public cloud and secure clouds for these clients.

This is the expansion of the Google Distributed Cloud deals that we have worked on for quite a while. You know? And so there is since 2024, we have been working with them on various different opportunities. And then we have expanded our franchise with them quite substantially with this Google Cloud relationship. Thanks for taking my questions.

Kris Newton: Thanks, Samik.

Operator: Next your next question comes from the line of Steven Fox with Fox Advisors. Please go ahead.

Steven Fox: Hi. Good afternoon. I had a couple of questions I think are related. 1 is, I am trying to understand in the full year margin guidance at the corporate level, how we think about sort of the mix effect of higher NAND prices? Obviously, there could be puts and takes whether we are looking at product versus public cloud or Keystone. And then related to that, how much can you give us a sense on how much revenue growth in the quarter and going forward is related to just higher ASPs and, you know, passing through higher NAND prices?

Wissam G. Jabre: Thanks. So the quick answer on the first part of the question, the NAND prices would then manifest themselves in the product gross margin. that is where basically the main impact is. The rest of the margin line should not be as affected. I mean, there is a bit in Keystone, but it should not be as affected given that it is recognized over time. And when it comes to the second part of the question, look. Obviously, we talked about raising prices to offset component cost inflation. Our goal is to protect the profitability of our business we will continue to do so if needed.

And so more than those qualitative comments, I would rather not get into the quantifying it because it is really too early in the year. And so let's wait till we see how Q1 develops, and maybe we talk about that in the next quarter's call.

George Kurian: Yeah. Just maybe to add, historically, customers' budgets in dollars and there has been little elasticity of demand just because of price increases. I think, of course, as Wissam mentioned, we are in unique territory it is hard for us to tell you exactly. So we will give you updates as we go through the year.

Operator: Your next question comes from the line of Aaron Rakers with Wells Fargo. Please go ahead.

Analyst (Jake): Hi. This is Jake on for Aaron Rakers. Thanks for the question and congrats on a great quarter. I was wondering if you could just give some color on the early feedback you are seeing on AFX and AI Data Engine and when they should become bigger revenue contributors moving forward?

George Kurian: We are pleased with the progress on AFX the early feedback on AI data engine AFX has already had good wins in Neo Cloud in financial service in hedge funds, and in life sciences, which were the target customers. For it, and we are seeing more and more customers beginning to qualify it will take time. it is a new architecture. We always believed it would take time. But it is you know, serving the purpose for what we created it for. With regard to AIDE, we have brought it to certain clients and we are seeing good, you know, good feedback on the value and the benefits it provides.

Especially as our large installed base of customers who have huge amounts of unstructured data on NetApp. Wanting to organize that data for AI project AID is a big help to them in doing so, and that feedback is coming back from our clients.

Analyst (Jake): Great. Thanks. And then maybe just as a follow-up. I was wondering on the off flash momentum. it is really, really impressive. Just can give more color on how much of the growth is driven by pricing versus capacity and unit growth? And then maybe just looking at the base, where does it stand now, and how much conversion runway, do you still have going forward?

George Kurian: From an installed base perspective, like we have said, it picked up another 1% to 48 of the installed base. With regard to the you know, performance in the quarter, listen. It was really having differentiated solution for a broad range of priority customer use cases. We raised prices you know, during the quarter. But we have not seen that materially translate into what we saw in the customers that, you know, into the transactions that we recorded in the quarter. It takes a little bit of time for that to flow through. In the past, it is taken about 3 quarters. We have tightened up our agreements with customers.

So you should see that flow through the system over the next quarter to 2 quarters.

Operator: Your next question comes from the line of Asiya Merchant with Citigroup. Please go ahead.

Mike Cadiz: Hey. Good afternoon. This is Mike Cadiz for Asiya Merchant with Citigroup. So I just have 1 question. it is looking into fiscal 27, how would we be thinking about strategic M&A at this point and leveraging growth and innovation in that respect. Into the interest for your Thank you.

Operator: Thank you for your question.

George Kurian: We constantly look at opportunities for M&A. We make decisions on whether that is the right use of capital. We feel good about our portfolio, but we will not rule anything in or rule anything out at this point in the year.

Operator: Your next question comes from the line of Krish Sankar with TD Cowen. Please go ahead.

Krish Sankar: Yes. Hi, thanks for taking my question. I had. George, you kind of mentioned a large Neo Cloud win. I am kind of curious, are you sole source in that win? How to think about the opportunity? Because I did not think that near clouds are big consumers of storage exabytes. So any color on that would be helpful, then I have a follow-up.

George Kurian: We you know, I do not wanna comment about their environment. This is a large, meaning top 5 U.S. Neo cloud. Where they were looking to expand their offering especially to serve high performance use cases for enterprise AI. And we were fortunate to be chosen to be the platform to do so. Our experience in architecting solutions for hyperscale is playing out to our advantage when we speak with Neo Cloud as they begin to broaden the set of use cases and offerings that they have for the enterprise.

Krish Sankar: Got it. Got it. Very helpful. And then maybe the question for either George or Wissam. When I look at your product revenues, is there a way to pass it out by what percentage of the product revenue is actually Gen AI related?

Wissam G. Jabre: Yeah. I mean, look. We do not we do not break it up to that, not, Krish. We know that there is obviously the activity and the number of wins we mentioned generate revenue for us. We just do not break it out to that level of detail. The other thing I would say is, as you noticed, perhaps over the quarters, the few quarters that we have been disclosing the number of wins, these number of wins have been increasing. And so you could assume that it is becoming a sort of growing portion of our revenue, but it is not broken out to that level of detail.

Operator: Your next question comes from the line of Paramveer Singh with Oppenheimer. Please go ahead.

Paramveer Singh: Yes. Hi. Thank you for taking my question. I had a couple. 1, I wanted to understand the incremental revenue opportunity from AIDE. And do you view this as something that will help you gain share in the traditional market, or is that an add on module that you can sell and expand into addressing more AI workloads? How do you think about that, and how do you think about quantifying how would you monetize that in terms of percentage of revenue and so on so forth?

Operator: there is 2 use cases Thank you for your question.

George Kurian: there is 2 use cases that you correctly said. 1 for our installed base, it creates a very sticky competitive moat where we are able to give them a huge amount of value for their existing infrastructure We can choose to monetize that as either standalone you know, software subscription or as part of a broader offering you know, a fuller solution including storage. And then I think with regard to the net new environment, as I said, you know, I was particularly pleased with the fact that a very large percentage of our AI wins were from customers who we are not the incumbent you know, data infrastructure provider.

And there, what we are able to do is combine AIDE together with our storage so that they can build a really good data lake or a data prep environment. And we saw momentum on that this past quarter.

Paramveer Singh: And on that second part, George, how do you think about pricing your product for that? I mean, is it, you know, does the ASP go by 10%, 15%? Or is it, you know, something related to the type of workload you are running? How are you thinking about monetizing it?

George Kurian: It really depends on, you know, volume of data and the type of data and services that we are offering. Broadly speaking, it is tied to the infrastructure the size of the dataset, and the value that we are offering the customer related to the type of data use cases that they are using with AID.

Operator: Your next question comes from the line of Katherine Murphy with Goldman Sachs. Please go ahead.

Katherine Murphy: Thank you for the question. Lou talked about investing in additional sales resources against this AI opportunity that you have highlighted. Is there anything you could share about how NetApp's go to market strategy is evolving as you go after more of these Neo Cloud and sovereign opportunities in addition to your base enterprise customer set. Thank you.

George Kurian: Yeah. We have built out a specialist team to pursue AI opportunities, both those that are focused on completely new segments like Neo and Sovereign Cloud, or to help our frontline team to drive AI wins in the enterprise We have also expanded coverage of accounts because we feel good about our opportunity to gain share So we have added more accounts to our directly managed coverage resources. And it is a sign of confidence. We have seen momentum building in our business through the course of this year. And our outlook for next year feels really robust.

Operator: Your next question comes from the line of Simon Leopold with Raymond James. Please go ahead.

Simon Leopold: Thanks for taking the question. I guess, I am sort of looking at the midpoint of the guidance for Q1 as well as the midpoint for the full fiscal year. And I think this implies relatively little sequential growth through the year, and I get the extra week adds some complication. But it seems as if you are sort of suggesting that the year could have less than seasonal patterns Could you help me understand what you are thinking here?

Wissam G. Jabre: Yeah. Yeah, let me address that. So, when you look at the first half versus second half for the year, as George said, we are expecting a seasonal pattern, the typical first half, second half. When adjusting for the for the extra week in Q1. In other words, we take out the extra week in Q1, which is approximately 65 million. And you do the math, you will end up with roughly similar type of seasonality first half, second half. And so that is that is part of it.

And then when you sort of look at the midpoint of the guide for Q1 and then midpoint of the guide for the fiscal year and sort of look at the Q2 through Q4, it gets you still in the sort of mid single digit percent growth. Over the same time period in fiscal 26.

Simon Leopold: Great. And just as my follow-up, we obviously understand the memory issues, NAND and hard drives, DRAM. Just wondering what you have observed or experienced in terms of other supply chain constraints and how you might see those risks relative to the memory challenges. Thank you.

George Kurian: Yeah. Listen. I think that we work with multiple suppliers for pretty much every component of our, you know, silicon of silicon lineup. We are cognizant that there could be constraints in other parts of the ecosystem And I think this is why we have a broad range of offerings as well. Lou know, I think 1 of the things that we have seen clients talk to us about is on HDDs. We have always believed that HDDs were an important part of customers overall lineup. And we have a strong set of solutions for that. At this point, given where we are in the year, I wanna just say 2 things. 1 is listen.

We feel really good about the momentum in our business. Lou know, we are early in the year. We will tell you more about how it plays out through the course of the year. Second, at this time, we believe we can source adequate supply to meet our outlook for the year.

Operator: Your next question comes from the line of Ananda Baruah with Loop Capital Markets. Please go ahead.

Ananda Baruah: Yeah. Thanks, guys. Really appreciate you taking the question. I guess I will just quickly ask 2 in 1 part here. You guys have mentioned that you expect next year public cloud, xSpot, to see accelerating revenue growth Any view on over time what normalized growth rate could look like. Or should we expect growth rate acceleration for the foreseeable future? And then can you just remind us Wissam, how to think about the sort of the mechanics underlying the gross margin expansion Sounds like there is some mix component going on but the margin has been expanding for a while now. So if there is anything in addition to mix, that would be helpful as well to know about.

Thanks, guys.

George Kurian: Listen. Maybe I will just tell you at a high level. Right? Providing specific guidance numbers and so on. I think what we see is continued strength in our 1 p and marketplace cloud storage services Those have grown consistently above the overall cloud storage cloud business. And are now a much bigger part of the cloud business than they were a year ago. And so our view of how the cloud portfolio evolves over the next year is essentially if you remove spot, from the compare to last year, we just see the same trend continuing through the next year.

But because cloud storage is a bigger part of the mix, you can do the math on what that does to the overall cloud storage cloud business.

Wissam G. Jabre: Yeah. And with respect to the margin, question, look. The target margin for the public cloud business is 80 to 85%, and we have been operating at sort of higher end of that range. And so as the business continues to grow faster than the rest of the company, it does give us a bit of nice margin tailwind.

Operator: We have time for 1 more question, and that question comes from Nehal Chokshi with Northland Capital. Please go ahead.

Nehal Chokshi: Thank you. Congrats on the execution and realized acceleration that you talked about here. And it sounds like a lot of this is coming from AI related demand. Lou are giving these metrics in terms of number of deals. But still do not have a good sense as far as, like, what percent of bookings or revenue that is. Can you help us out a little bit on that front?

Wissam G. Jabre: Yeah. Thanks for the question, Nehal. We do not break it out. As I mentioned earlier on, I think, previous question, we only talk about we quantify the number of opportunities or activity, let's say, wins in the in the on prem business but we do not break out bookings or revenue per for AI.

Nehal Chokshi: It sounds like, though, that the revenue per deal has gone up significantly in this past quarter? And it does sound like some of these large deals that came to fruition are in that AI category of deals that is in that 500 there. Is that correct or no?

Wissam G. Jabre: Yeah. Look. I--there is a wide range of sizes. I would not wanna venture any sort of anything that may not be--that may or may not be correct. So I will leave it at that.

Nehal Chokshi: Alright. Well, thank you, Nehal.

George Kurian: I am gonna hand it over to George for some closing comments. Thank you, Kris. FY 2026 was a record year for NetApp. Reflecting strong execution and accelerating demand for AI and cloud solutions. Our hybrid cloud intelligent data infrastructure platform is at the center of customers' data driven transformation. Delivering secure, real time, zero copy data activation for AI. Our broad portfolio allows us to deliver the right balance of cost and performance for our customers strengthening our resilience in a dynamic market. Continued innovation and strategic partnerships, are expanding our opportunities and driving sustainable growth. And strong financial results and disciplined capital allocation enable us to invest in the future and return value to shareholders.

As we look to FY 2027, we are confident our strategy and our ability to deliver ongoing growth and leadership in AI and cloud. Thank you.

Operator: Ladies and gentlemen, this does conclude today's conference call. Thank you for your participation and you may now disconnect.