NetApp at Morgan Stanley Conference: Strategic Focus on AI and Cloud

Published 06/03/2025, 21:18
NetApp at Morgan Stanley Conference: Strategic Focus on AI and Cloud

On Wednesday, 05 March 2025, NetApp Inc. (NASDAQ: NTAP) participated in the Morgan Stanley Technology, Media & Telecom Conference. The company discussed its strategic positioning amidst short-term challenges and long-term growth opportunities. While recent deal slippages in Europe and foreign exchange headwinds presented hurdles, NetApp remains optimistic about its future, driven by AI and cloud adoption.

Key Takeaways

  • NetApp faced Q3 deal slippages in Europe due to economic uncertainty but closed most deals in Q4.
  • Q4 outlook is cautious due to foreign exchange impacts and U.S. public sector uncertainties.
  • Strong performance in flash storage and cloud business, with cloud growth exceeding 20%.
  • AI is a major focus, with over 100 AI-specific wins each quarter.
  • Long-term targets include mid-to-upper single-digit revenue growth and double-digit EPS growth.

Financial Results

  • Q3 Weakness: Economic uncertainty and government transitions in Europe led to deal slippages.
  • Deal Closure: Most slipped deals were finalized in Q4.
  • Q4 Outlook: Anticipates $17 million foreign exchange impact and $15 million from Spot divestiture.
  • Flash Business: Achieved a 21% year-over-year increase, targeting mid-teens growth.
  • Gross Margins: Expected to trough in Q4, with support margins stable above 90% and cloud margins at 76%.

Operational Updates

  • Sales Execution: Improved inspection and closing plans with war rooms for tracking customer pipelines.
  • U.S. Public Sector: Represents 10%-13% of revenue, with caution in the civilian sector due to administration changes.
  • AI Traction: Over 100 AI-specific use case wins each quarter, with projects moving to production soon.
  • Keystone Growth: Storage as a service business grew approximately 60% in Q1 and over 50% in Q2 and Q3.

Future Outlook

  • Secular Drivers: Focus on flash storage and AI.
  • Company-Specific Drivers: Emphasis on cloud and block storage growth.
  • Cloud Growth: Excluding Spot, cloud business is growing north of 20%.
  • AI Strategy: Aims to unify data, ensure security, and build hybrid cloud architectures.
  • Public Cloud: Collaborates with the top three hyperscalers to expand customer segments.
  • Sovereign Cloud: Working with Google Cloud on deploying sovereign and private cloud solutions.

Q&A Highlights

  • Hyperscale Opportunity: Collaborations with hyperscalers for IT and proprietary applications.
  • Internal AI Usage: AI is used to enhance products and operational efficiency.
  • Customer Adoption of Keystone: Growing interest in both cloud and on-premises as-a-service models.

In conclusion, NetApp remains committed to leveraging AI and cloud technologies for sustained growth. For a deeper dive into the conference details, please refer to the full transcript below.

Full transcript - Morgan Stanley Technology, Media & Telecom Conference:

Nina Marshall, Analyst, Morgan Stanley: All right. Welcome, everybody. For Morgan Stanley Research Disclosures, please check out morganfamily.com/researchdisclosure or talk to your sales representative. I’m also going to read the NetApp Safe Harbor, which is that NetApp has asked me to read their Safe Harbor. Today’s discussions may include forward looking statements, including NetApp’s performance, which are subject to risks and uncertainty.

Actual risks may differ materially from statements made today for a variety of reasons described in NetApp’s most recent 10 K and 10 q filed with the SEC and available on their website at netapp.com. NetApp disclosures aim or disclaims any obligation to update information and any forward looking statements for any reason. So now that we’ve gotten the exciting part out of the way, I’m Nina Marshall. I cover hardware here or storage here at Morgan Stanley. We’re delighted to have NetApp and NetApp’s CEO, George Kurian, here with us today.

Thanks so much for being here, George. Thank you. All right. So maybe let’s just kick off talking about the fiscal Q results and then we can jump into the longer term story. You saw some weakness at the end of the quarter on deal slippage, but also just some kind of weakness out of Europe.

Can you just break down how to think about kind of the various areas where you saw weakness and how much was execution versus market? In Q3, we saw some weakness in some of the countries in Europe,

George Kurian, CEO, NetApp: UK, France and Germany, where their economic outlook was muted as well as they’ve had government transitions, and so we saw some weakness there. However, we were on track to meet our Q3 outlook till the last couple of weeks of the quarter when several deals that we had in the pipeline pushed out. These were large deals, 7 or 8 figure deals, mostly in The Americas and in Europe. And we have subsequently closed those transactions in Q4. So when I look at the performance relative to our guide in Q3, it was sales execution.

Nina Marshall, Analyst, Morgan Stanley: Okay. All right. And so just what are some of the you mentioned a lot of those deals have now closed. What are some of the actions that you’re taking around kind of the execution issues?

George Kurian, CEO, NetApp: Yes. These are all fundamentals, right? Better inspection, better closing plans. We have war rooms set up to make sure that we know exactly where customers stand relative to their procurement pipeline with us. And we have taken some people actions as

Nina Marshall, Analyst, Morgan Stanley: a result of that. I mean, is any of that just a result of you’re going through a CFO transition? Or is this all just kind of execution? This is field execution. Okay.

All right. Perfect. You on the fiscal Q4 guide, you had noted that many of these deals had closed, but that you were betting some level of caution on FX or public sector. You also had the a portion just due to the divestiture of spot. You just gave a sense of kind of fiscal Q3.

But in terms of as we think about the guide, was there any execution embedded into the guide or just kind of how to think about what were the reasons for the guide maybe being a little weaker than expected? We expect Q4, our sales execution to be back on track. With regard to the Q4 outlook that we provided, there were three areas that we provided additional commentary on. The first was FX

George Kurian, CEO, NetApp: is about a $17,000,000 headwind in the quarter. Second, we have closed the transaction, the divestiture of Spot, which would impact us for about $15,000,000 in the quarter. And then we had provided some incremental caution with regard to U. S. Public sector.

Okay.

Nina Marshall, Analyst, Morgan Stanley: I think one of the questions that investors have had is that we’ve seen a relatively strong server and networking data center refresh to kind of start that started over the past couple of quarters. Just where do you think the market is and an appetite for kind of a larger storage upgrade similar to what we’ve seen on the server or networking side?

George Kurian, CEO, NetApp: Storage refreshes typically follow a few quarters after networking and computing refreshes. We have seen some customers do that. Obviously, all customers don’t do it at the same time. In general, we see utilization rates of our equipments to be high, which is a precursor to when they have to buy additional equipment and capacity. And we’re well positioned.

Our flash business has performed well. I think if you do the math, even last quarter, if we had met our targets, we would have been up mid teens in flash, coming off a year on a compare, which was up 21% year on year. So we’ve got a great portfolio. I feel strongly about our competitive position.

Nina Marshall, Analyst, Morgan Stanley: You mentioned kind of the third reason on the outlook was U. S. Federal. Just can you remind folks of what that exposure is and just if there’s any departmental kind of concentration to be mindful of? Yes.

George Kurian, CEO, NetApp: Our U. S. Public sector business is about 10% to 13% of our total business and Fed is about 70% to 80% of that business, the rest being state and local and in higher education. So of that 75% to 80% of the total U. S.

Public sector business, we are relatively split evenly across civilian, DoD and intel. And so far, we’ve seen the caution that we’ve applied to is really around civilian, where some of the changes with the new administration is causing more inspection of deals. We haven’t seen cancellations, but we’ve seen it taking longer to get approvals.

Nina Marshall, Analyst, Morgan Stanley: Okay. Got it. Gross margins were also a little bit weaker in fiscal Q3 and into Q4 or in from your Q4 outlook, just largely based on kind of the volume of flash. But just how should we be thinking about gross margins of the business kind of after this quarter?

George Kurian, CEO, NetApp: Yes. Fiscal Q4, as we said, would be the trough in terms of product gross margins. Fiscal Q4 also historically has, due to our seasonality, a higher mix of product versus service and support. So I think that if you look at the mix of the business, product margins, we should be at the low point in fiscal Q4. Support is pretty stable at north of 90% margins.

And then cloud has continued to tick up in terms of both of our business as well as the margin profile of that business. We had 76% margins in the last quarter and we expect it to tick up towards the higher end of 75% to 80% exiting this fiscal year.

Nina Marshall, Analyst, Morgan Stanley: Okay. Just stepping out of the quarter, just how does it make you think about kind of the achievability of the long term targets you laid out at the Analyst Day of mid to upper single digit revenue growth and kind of double digit EPS growth?

George Kurian, CEO, NetApp: Yes. We feel very good about our long term model, which is exactly like you said, mid to upper single digit revenue growth as well as double digit EPS growth. We have a portfolio that’s fully refreshed to address the growth areas of the market. We have four secular drivers that we are driving against Flash and AI being secular, cloud and block being company specific drivers. Our cloud business, once you remove spot from the mix, has been growing north of 20%.

And so you should see that continuing to be a strong driver of growth at high margins for NetApp. And then we have a disciplined approach to running the business, which allows us to deliver leverage in terms of operating margin profile.

Nina Marshall, Analyst, Morgan Stanley: Okay. NetApp has seen meaningful share gains over the past year in particular. Just how has NetApp’s value proposition evolved?

George Kurian, CEO, NetApp: I think our value proposition is embedded in the software that we have running our systems, and we deliver value in three ways. First is we allow customers to simplify their operating environment so that they don’t have to learn multiple different system architectures and manage a lot of different environments, which is particularly helpful in times of constrained IT resources. The second is which is becoming even more apparent with the growth of AI is the idea that you want to unify your data of all of your different data types and you want to unify it across on prem and cloud. And the third is the series of services that allow you to manage your data, protect it, secure it in unique ways to be able to understand how to optimize your environment as well as to deploy data intensive workloads much more easily on our infrastructure. And that value proposition is resonating with our clients.

Got it.

Nina Marshall, Analyst, Morgan Stanley: C Series has been a huge success for you guys. You were ahead of the market or kind of ahead of Dell and HPE in introducing that product. Just as that competitive set starts to fill out right now kind of with Dell in the coming years with HPE, just how do you see kind of that market for C Series and your ability to continue to differentiate that?

George Kurian, CEO, NetApp: The differentiation is really in the software and our ability to allow clients to unify their data, unify their operating environment, unify on prem and cloud, nobody else in the industry has that capability. Okay. Got

Nina Marshall, Analyst, Morgan Stanley: it. And then we’ve gotten ten minutes in. We haven’t talked about AI yet. So let’s dive right in. How are you positioning yourselves to capitalize on enterprise AI adoption?

And just can you provide an example of kind of where what use cases you’re starting to see customers leverage NetApp?

George Kurian, CEO, NetApp: Yes. We’ve always said that AI is a combination of algorithms, meaning things like large language models and data, where the value or the applicability of AI to an organization’s business is really driven by the combination of those two. We are the stewards of data. There’s a lot of people working on models, but what we’ve always believed and what is being proven in the market is that having the ability to unify your data and use your data easily and well with the models is super important to generating better outcomes with AI. We allow we enable clients to do that in three ways.

The first is clients need to unify data across multiple types to get better results. You look at models, the more value of the higher fidelity outcomes come from better quality data and wider scope of data, meaning you can unify data across multiple types. We have amazing tools that allow people to do that. The second is people want to be able to apply a variety of mechanisms to both ensure the security of their data to allow for model versioning and data versioning to allow for things like traceability of the data so that you can provide assurances that you’re applying AI responsibly to your clients. We have an awesome range of tools that allow data scientists and data engineering teams to be able to do that.

And then the last and perhaps the most commonly used is hybrid. Many clients we have are using public cloud models with their data and we are able to allow them to use their on prem data very easily with public cloud or they want to stand up a private model, but take the data that exists on the public cloud and bring it to their private environment. And so those are the three. We have awesome infrastructure to unify your data to allow it to be used with models, to accelerate the use of tools for responsible AI and then to build hybrid cloud architectures that are very commonly used for AI.

Nina Marshall, Analyst, Morgan Stanley: I mean given that you’re really at the front lines of seeing what customers are doing, just what are you seeing in terms of trends of customers using public cloud versus on premise for how they’re thinking about AI?

George Kurian, CEO, NetApp: I think we’ve seen a mix of patterns. I think broadly based public cloud is where clients are starting their experiments. But what we have also seen and what we have coached clients to deal with is it’s much easier to bring AI to your data than copy all your data to where your AI model is. It’s much more cumbersome to do that. And so our approach allows you to start on cloud and then scale on prem, which is what a lot of people are doing in regulated industries, which are, for example, health care and life sciences, some of the public sector environments or some parts of financial services where the data is already well established and well kind of structured, we are seeing the adoption rates be higher and they are mostly doing stuff in private AI environments.

Got it.

Nina Marshall, Analyst, Morgan Stanley: I mean, what is the time line? You just mentioned kind of regulated industries maybe moving first, but just what are you seeing as the time line of AI projects moving from proof of concept to production deployment? And what does that pipeline and revenue opportunity kind of look like for NetApp?

George Kurian, CEO, NetApp: With regard to the proof of concepts and things moving into production, we are starting to see the early phases of the enterprise AI opportunity unlocked. We’ve shared that over the last few quarters, we’ve had each quarter in excess of 100 wins of AI specific use cases where people are putting together the data infrastructure to enable the use of AI applications. Those continue to be kind of a steady pipeline and we’re starting to see that consistently in our business. We’re also seeing a growing number of AI as a service providers who are building landscapes to enable enterprises to use their platforms for AI. And our expectation, as we said consistently, is the compute build will go first, The data infrastructure gets built out following compute.

And we see these projects going from kind

Nina Marshall, Analyst, Morgan Stanley: of proof of concepts into production second half of this calendar year to first half of next year. So it’ll grow over time.

George Kurian, CEO, NetApp: Are there ways do

Nina Marshall, Analyst, Morgan Stanley: you think that you can be you’ve mentioned kind of the three buckets that you can help them where you can kind of help them quicker go from proof of concept to deployment?

George Kurian, CEO, NetApp: Yes. I mean, especially if you have your data on a NetApp system, you can run an AI project on there exceptionally quickly, yes. Okay.

Nina Marshall, Analyst, Morgan Stanley: Your public cloud business is another differentiator for NetApp. How do you see the relationships evolving? And are there differences between what a public cloud customer for NetApp looks like versus your traditional customers?

George Kurian, CEO, NetApp: Yes. Public cloud has been a source of net new customer acquisition, a strong source of that. If you think about our enterprise business, we have a certain percentage of the market and the majority of the market we don’t control. And when you look at public cloud, the fact that we work with the three largest hyperscalers who control probably north of 80% of the public cloud market, it gives us a chance to penetrate a whole range of net new customers, which is what’s proven out. Our first party cloud storage portfolio has grown really strongly for many quarters now.

And as we shared, cloud storage is about 80% of the total cloud business and our first party storage is about 70% of the total business. So it’s a strong growth trajectory for us. We continue to bring more and more and more innovation every quarter. And not only in the public cloud environment across price points and workloads and capabilities, that’s an ever expanding opportunity for us. But we also, for example, talked about how we are working with Google Cloud on sovereign clouds and private clouds where the stack that we’ve built with them in the public cloud now is getting deployed in various sovereign environments.

Nina Marshall, Analyst, Morgan Stanley: Got it. Just you noted kind of the first place marketplace services are now 70% of the public cloud business continuing to demonstrate strong growth. Kind of what how should we think about what the remainder of that public cloud business? And just how should we think about those pieces as a piece of the portfolio?

George Kurian, CEO, NetApp: Yes. So we have two or three other elements to our cloud portfolio after having divested Spot. There’s operational services called data infrastructure insights, which is complementary to our cloud storage portfolio. It allows the client to see what storage they’ve deployed, how is it performing, can I optimize the use of that environment and so on? We also have workload services like Instacluster that allows customers to deploy more applications faster on that cloud storage platform.

And so those are really kind of value adds to our cloud storage portfolio. And then we’ve got some subscription storage services, which are a very small percentage of the total number, which we are moving as we said, we continue to move them towards the consumption business, and that’s a small part of the total number.

Nina Marshall, Analyst, Morgan Stanley: Got it. You mentioned just now kind of Google and the opportunity with Sovereign Cloud. Just can you maybe give a context for the different relationships you have with the different clouds and how you see those kind of evolving?

George Kurian, CEO, NetApp: So all of them have their own approach to the customer base in terms of the industries, the applications that they’re driving. And so we work with each of them around their priority vertical markets. We work with each of them around their priority application sets. And there are some that are common, right? So VMware is common across all of them.

SAP is common across all of them. But there are things that we are working on, for example, with AI that’s different, for example, in what we do with Amazon versus Google versus Microsoft. And so our belief is that by working closely with each of them, we enable them to drive their business by bringing more clients and more workloads to their cloud footprints. But by working with each of them around their priorities, we also cover the market extraordinarily completely.

Nina Marshall, Analyst, Morgan Stanley: Okay. Got it. Another area of wanted to ask about is just the customer adoption of Keystone or your kind of as a service offerings. Just what are where are you seeing these kind of be adopted by customers?

George Kurian, CEO, NetApp: We offer clients the ability to buy our technology in a broad range of ways. We want them to be able to have the flexibility to consume it whichever way they want. The as a service model actually grew in the cloud first, right? And so our entire cloud portfolio is an as a service business. And when we talk to clients about true as a service, we say, hey, you should go and use the cloud.

You can spin up something and spin it down whenever you want. In the on premises world, we have seen clients get more interested in an as a service model. Some of them have learned from the cloud and they want to use it more on premises. Our keystone, which is our storage as a service business, has done well. We grew 60% approximately in Q1 and north of 50%, like 55% in Q2 and Q3.

So it’s on a good trajectory.

Nina Marshall, Analyst, Morgan Stanley: Got it. I wanted to open it up to see if there are any questions from the audience. All right, perfect. I’ll continue. A question that we sometimes get from investors is just clearly you do business with the public cloud.

Is there any kind of hyperscale opportunity you see kind of on their own workloads? On their own workloads? Or just on their within their own environments versus kind of services that they’re offering to customers?

George Kurian, CEO, NetApp: They have we work with each of them around their own IT landscapes and we have applications that their internal organizations use that run on our footprint. And then we are working with them for better integration with some of their proprietary applications. Like for example, we announced some of the integrations with Vertex and with BigQuery from Google. So you’ll see more of those kinds of applications coming over time.

Nina Marshall, Analyst, Morgan Stanley: Okay. Great. Another question that we’re just kind of asking frequently at the conference is just how are you guys using AI internally kind of within NetApp?

George Kurian, CEO, NetApp: We use AI in three ways. The first is to build products and solutions for AI. These are all the things that we talked about, right? Data infrastructure, high performance storage, all of these data services that allow our customers to use AI more efficiently with their data. The second is AI capabilities embedded in our products and services, so that you can make it much more easy for a client to use our technology.

These could be advanced security mechanisms like ransomware protection mechanisms, ways for our clients to access tools that allow them to see how their systems perform and things like that, which are all getting AI smart. And then the third is to use AI to make our operations more efficient. So we’ve got a huge percentage of engineering teams using AI tools to make their development much more productive. We use it in customer support and in various parts of our back office.

Nina Marshall, Analyst, Morgan Stanley: Got it. Just kind of as a last question, just what are you most excited about for NetApp for the next couple of years? And just is it AI? Just kind of can you lay out kind of what you’re most excited about going forward?

George Kurian, CEO, NetApp: Maybe I can answer that in a couple of ways, right? I think one is from an external trend perspective, listen, we have two strong things that we bet on a long time ago that are paying off. I think the first was we’ve always believed that you want to unify your data because having a more unified view of your data gives you more intelligence into how your business operates. That is proving true with AI. And Gen AI in particular allows you to analyze and monetize the giant amount of unstructured data in the world and we hold a huge part of that.

So that sets us up really well. The second is we’ve said hybrid cloud or public cloud becomes a really integrated part of your architecture. That is proving true with especially with the use of AI, right? And so I think those two long term trends we said we’ve played out are playing out in our favor. And then in terms of our portfolio and competitiveness, listen, we’ve got a fully refreshed portfolio.

We are gaining net new logos both with cloud and our on premises portfolio. And I feel like, hey, we are in a really strong position in the market. Great. All

Nina Marshall, Analyst, Morgan Stanley: right. Well, George, thank you so much for being here today.

George Kurian, CEO, NetApp: Thank you. Thank you so much.

This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

Latest comments

Risk Disclosure: Trading in financial instruments and/or cryptocurrencies involves high risks including the risk of losing some, or all, of your investment amount, and may not be suitable for all investors. Prices of cryptocurrencies are extremely volatile and may be affected by external factors such as financial, regulatory or political events. Trading on margin increases the financial risks.
Before deciding to trade in financial instrument or cryptocurrencies you should be fully informed of the risks and costs associated with trading the financial markets, carefully consider your investment objectives, level of experience, and risk appetite, and seek professional advice where needed.
Fusion Media would like to remind you that the data contained in this website is not necessarily real-time nor accurate. The data and prices on the website are not necessarily provided by any market or exchange, but may be provided by market makers, and so prices may not be accurate and may differ from the actual price at any given market, meaning prices are indicative and not appropriate for trading purposes. Fusion Media and any provider of the data contained in this website will not accept liability for any loss or damage as a result of your trading, or your reliance on the information contained within this website.
It is prohibited to use, store, reproduce, display, modify, transmit or distribute the data contained in this website without the explicit prior written permission of Fusion Media and/or the data provider. All intellectual property rights are reserved by the providers and/or the exchange providing the data contained in this website.
Fusion Media may be compensated by the advertisers that appear on the website, based on your interaction with the advertisements or advertisers
© 2007-2025 - Fusion Media Limited. All Rights Reserved.