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美国网存公司 (NTAP.US) 2026财年第二季度业绩电话会
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会议摘要
NetApp reports robust Q2 fiscal 2026 earnings, attributing success to AI, all-flash, and cloud solutions. Despite macroeconomic uncertainties, the company forecasts continued market outperformance, bolstered by strategic innovations and customer demand, with fiscal year 2026 revenue guidance raised.
会议速览
NetApp's Q2 FY2026 Earnings Call: Listen-Only Mode with Q&A Opportunity
NetApp's Q2 FY2026 earnings call is now underway with participants in listen-only mode. Assistance is available by pressing star then zero. Following the presentation, there will be a Q&A session, and the event is being recorded.
NetApp's Strong Q3 Performance and AI Innovations Drive Growth and Profitability
NetApp reported a strong Q3 with $1.71 billion in revenue, driven by growth in all-flash and public cloud services. The company highlighted its AI solutions, cloud storage, and all-flash offerings, achieving record gross margins and surpassing profitability expectations. Key innovations included the launch of Afx, an AI-powered storage platform, and the Nara AI data engine, simplifying AI data pipelines and enhancing cyber resilience. These advancements, alongside successful AI infrastructure deals, underscore NetApp's commitment to innovation and operational efficiency, supporting its success in the evolving data landscape.
NetApp's Unified Data Platform: Driving Enterprise AI, Cyber Resilience, and Cloud Storage Innovation
NetApp's hybrid multi-cloud data platform and advanced AI capabilities enable enterprises to securely manage and leverage vast data sets across on-premises and cloud environments, enhancing AI workloads and data security. The company's recent innovations, including enhanced cyber resilience services and expanded cloud storage support, have driven significant revenue growth and customer acquisition, positioning NetApp as a leader in intelligent data infrastructure.
Strong Q2 Financial Performance: Revenue Growth, Improved Margins, and Capital Returns
In the fiscal second quarter, the company achieved strong results with total revenue exceeding guidance, driven by hybrid cloud and public cloud growth. Gross margins improved, operating expenses remained flat, and earnings per share surpassed the high end of guidance. The company returned $353 million to shareholders and ended the quarter with a net cash position of $528 million.
Q1 Revenue & Fiscal Year 26 Guidance Highlighted with Revised Margins & EPS Projections
Discussed Q1 revenue of $1.69B, gross margin of 70.3%-73.3%, and operating margin of 30.0%-30.5%, projecting fiscal year 26 revenue between $6.625B-$6.875B, with revised gross and operating margins and raised EPS range to $7.75-$8.05.
Component Pricing and Supply Chain Management Amid Potential Volatility
Discussed strategies for managing component pricing volatility, emphasizing proactive measures, supply chain efficiency, and potential pricing adjustments to mitigate impacts, while highlighting growth in cloud and Keystone services to offset commodity cost increases.
Analysis of Gross Margin Drivers and Sustainability in Product Margins
A discussion on the factors influencing current product gross margins, including mix, pricing, and cost stability, with insights on the sustainability and potential expansion of margins in the future, emphasizing long-term targets and operational discipline.
AI-Driven Transaction Growth and Feedback on Afx Solution in Q2
Discussed acceleration in AI-related transactions, stable mix of data prep, training, and inference, strong early interest in Afx platform, pending customer qualifications, and anticipated impact on future deals.
Analysis of Q3 Revenue Decline Due to Macro Dynamics and Public Sector Challenges
The dialogue discusses the factors contributing to a below-average Q3 revenue growth, attributing it to macroeconomic dynamics and headwinds in the public sector, particularly the impact of a recent government shutdown, which is expected to be temporary.
Aligning Inventory with Demand Growth for Future Business Expansion
Discusses aligning inventory and purchase commitments with anticipated demand growth, emphasizing acceleration in non-US public sectors and AI-related spending, while ensuring supply security for future fiscal health.
Dynamic Supply Chain Management and Strategic Purchasing Philosophy
The dialogue emphasizes the importance of a dynamic approach to purchasing decisions and supply chain management, highlighting the company's readiness to act swiftly to secure favorable prices and protect supply chains. The speaker reassures of a robust balance sheet and a proactive strategy to navigate market conditions effectively.
AI Deal Sizes & Enterprise Adoption Trends: A Look into Future Growth and Industry Adoption
Discussed the variability in AI deal sizes, emphasizing the importance of data preparation and fine-tuning in AI adoption. Highlighted strong growth in first-party hyperscale services, noting a 32% year-on-year increase, and explored industry-specific AI adoption trends, particularly in life sciences and financial services, with a focus on advanced use cases and future projections to 2026.
Addressing Supply Commitment Concerns Amidst Shortages
A discussion on securing supply commitments and pricing through the fiscal year, emphasizing actions to ensure supply availability and mitigate risks of shortages impacting demand.
Sustainability of Pricing Strategies Amid Rising Component Costs
Discusses the industry's historic pattern of sharing price increases with customers due to rising component and commodity prices, emphasizing the importance of a broad supplier ecosystem and experience in managing price points to maintain market sustainability.
Impact of NAND, QLC, and Hybrid Technologies on HDD Demand and Cloud Revenue Growth
The dialogue discusses the impact of QLC and hybrid technologies on HDD demand, emphasizing the coexistence of different storage solutions. It also highlights the strong growth in cloud revenues, driven by new offerings and the focus on scaling AI and data-intensive workloads, with a target to maintain a high teens growth rate.
Expanding Opportunities with Sovereign and Neo Clouds in AI Landscape
Discussion focused on strategic opportunities with sovereign and Neo Clouds, emphasizing AI solutions and security advantages, with upcoming innovations and momentum from Afx solution introduction.
Analysis of Financial Performance and Caution on Public Sector Recovery
A discussion on achieving a significant quarterly earnings beat, with a focus on large deals offsetting declines in the U.S. public sector. Guidance for the second half indicates year-over-year acceleration, tempered by uncertainty in public sector recovery. Supply chain concerns are not factored into current guidance, with emphasis on cautious outlook due to delayed government procurement and spending.
Inflection Point in Storage as a Service: A Growing Trend in Enterprise Infrastructure
The dialogue discusses the increasing strength and maturity of the storage as a service model, highlighting its growth driven by both the offerings' maturity and customers' familiarity with consumption-based models. It predicts that this trend will continue to expand within the enterprise infrastructure market, albeit not overnight, but at a faster pace than the rest of the market.
AI-Driven Video and Unstructured Data Analysis Trends, and Storage Demand in the Tech Industry
The dialogue covers emerging trends in video and unstructured data analysis using AI, highlighting applications in content production and multimodal analytics. It also discusses customer demand for higher aerial density in hard drives and the delayed impact of AI on storage growth compared to compute and network. Insights on enterprise AI adoption by sector and the role of data lakes in AI infrastructure are also shared.
Market Share Growth & Cloud Business Insights
Discussion covered strategies for capturing market share through pricing flexibility and advanced data management. Cloud gross margin range and cash flow concerns were addressed, highlighting seasonal impacts and tax-related payments.
AI-Driven Growth and Customer Acquisition Strategies
Discusses AI differentiation in winning new and existing customers, emphasizing unified data management, hybrid cloud, and compliance solutions. Highlights the impact of AI inferencing workloads, Keystone acceleration, and increasing public cloud mix on revenue growth.
Acceleration in Business Growth Due to Cloud, AI, and All Flash Components
Discussion highlights the increasing contribution of Cloud Keystone, AI, and All Flash to business growth, predicting acceleration as these components become more significant. The speaker expresses gratitude for the insights and guidance provided.
Analysis of Large Deal Activity and Opex Trends in Business Operations
The dialogue discusses the factors behind an increase in large deal activity, attributing it to effective execution rather than supply chain issues. It also addresses Opex trends, noting a year-over-year decrease due to timing, with expectations for slight increases in the second half to support business growth.
Q2 Financials, Growth Drivers, and Future Outlook in AI and Public Cloud
A company discussed its Q2 financial performance, attributing growth to AI and portfolio refreshes, while guiding on future growth in public cloud and margins, emphasizing AI, all-flash, and cloud strategies for sustained market outperformance.
要点回答
Q:What were the financial results for NetApp's second quarter of fiscal year 2026?
A:NetApp's second quarter of fiscal year 2026 delivered revenue of $1.71 billion, up year over year. Excluding the divested spot business, total revenue was up, driven by all-flash and public cloud growth. Gross margin set a record, exceeding the guidance range, while both operating margin and EPS surpassed expectations and marked all-time highs.
Q:What is the significance of the AFX and On-Tap data platforms for NetApp?
A:The AFX and On-Tap data platforms are significant for NetApp as they represent major advancements to the company's enterprise-grade data platform, offering enhanced AI workload capabilities, stronger cyber resilience, and deeper AI integrations. These platforms are designed to fuel success in the face of the ongoing macro environment and support AI initiatives.
Q:What recent AI modernization deals has NetApp closed?
A:In the second quarter, NetApp closed approximately $400 million in infrastructure and data lake modernization deals across various geographies, industries, and use cases.
Q:What are the advantages of NetApp's hybrid multi-cloud data visibility and operational efficiency for AI workloads?
A:The advantages of NetApp's hybrid multi-cloud data visibility and operational efficiency for AI workloads include a unified view of corporate knowledge across millions of documents and data sets, faster and more accurate access to institutional knowledge, and the ability to create a single searchable view.
Q:How does NetApp's On-Tap storage platform integrate with public cloud services?
A:NetApp's On-Tap storage platform integrates with public cloud services to enable customers to leverage major AI models without the complexities of moving data in the quarter. This includes native integration in the public cloud with services like Azure, Google Cloud, and AWS, allowing for flexible deployment of AI workloads.
Q:What were the results of the latest customer acquisition and retention efforts?
A:Recent customer acquisition and retention efforts led to a strong quarter with a leading cloud-based media production company choosing NetApp for its Fsx N storage, and a major Asian life insurance company selecting NetApp for its mission-critical private cloud environment, due to strong cyber resilience for critical workloads.
Q:How did NetApp enhance its data security and cyber resilience in the second quarter?
A:NetApp enhanced its data security and cyber resilience by launching the Nara ransomware resilience service for both structured and unstructured data. This service is designed to stop cyber threats before they cause extensive damage by proactively detecting data breaches and providing isolated environments for clean recovery.
Q:How did the macro environment and competitive landscape affect NetApp's second quarter results?
A:Despite an unsettled macro environment and near-term U.S. GAAP headwinds, NetApp remains confident in its visionary approach to a data-driven future and is focused on growing markets like all-flash public cloud and AI, which are expected to enable top-line growth and outgrowth of the market.
Q:What were the non-GAAP financial results for NetApp's second quarter?
A:The non-GAAP financial results for NetApp's second quarter showed total revenue of ed ed billion dollars, up year over year. Non GAAP earnings per share was Ed dollars and Ed cents, and deferred revenue balance was Ly $45 billion, up year over year. Unbid RPO, a key indicator of future Keystone revenue, was $456 million, up script year over year.
Q:What were the operating expenses and operating income for the second quarter?
A:Operating expenses were $707 million, and operating income was $530 million.
Q:What is the expected revenue growth and margins for the upcoming quarter?
A:For the upcoming quarter, the expected revenue is $1.69 billion plus or minus $75 million at the midpoint, implying year-over-year growth. The expected gross margin is between 70.3% and 73.3%, operating margin is anticipated to be in the range of 30.0% to 30.5%, and the expected EPS is between $2.01 and $2.11.
Q:What are the revenue expectations and growth for the full fiscal year 2026?
A:For the full fiscal year 2026, the expected revenue is between $6.625 and $6.875 billion, which at the midpoint reflects 3% growth year over year, excluding Spot. The company has raised its expectations for gross margin to be in the range of 71.7% to 72.7%, operating margin to pose at least 33.5%, and has increased its EPS range to $7.75 to $8.50.
Q:How is the company managing through the current component environment?
A:The company has locked in some prices and has visibility at least until the end of this fiscal year. They have a capable supply chain team managing past cycles of state supply and rising cost environments, focusing on maintaining supply continuity and input costs. They have not seen any disruptions and have not passed any cost increases through as of yet.
Q:What is the current focus regarding the company's total gross margin?
A:The company's focus is on maintaining and growing total gross margin, which depends on the components of revenue and their mix. They expect product gross margin to be relatively stable and note that if certain commodity prices continue at current levels, there could be a headwind in fiscal Q3. However, they expect high growth in the cloud business and continued good growth in Keystone, which is favorable for the mix.
Q:What are the current drivers of product gross margin expansion?
A:The drivers of product gross margin expansion are primarily a combination of cost differences and product mix, with some pricing tailwinds. Cost is nearly flat year on year, and any differences are driven by the mix and pricing. Looking forward, the drivers are expected to remain consistent with a focus on maintaining and improving product margins.
Q:What trends are being seen in AI-related transactions?
A:The company is seeing a fairly stable mix of transactions with growth in volume and a stable mix. Data prep and data modernization account for about 45% of the mix, training and fine-tuning account for 25% to 30%, and the rest is related to inferencing. The pace of wins has increased from about 100 a year ago to approximately 200 now, indicating an acceleration in the number of AI-related transactions.
Q:What are the main factors contributing to the projected revenue performance?
A:The projected revenue performance is affected by a dynamic macro environment with public sector headwinds, particularly in the U.S. However, the company expects the business to return to normal levels in the long term. Despite U.S. public sector challenges, non-U.S. public sector segments had strong results in Q2, and the flash business has shown acceleration. The faster-growing parts of the business, such as Cloud and Flash, now constitute 70% of the overall number, and the company believes this will drive strong future results.
Q:How does the company plan to manage purchasing commitments and inventory in light of the forecasted revenue and potential supply chain disruptions?
A:The company has good visibility till the end of the fiscal year and will continue to be opportunistic. They plan to secure necessary supply in advance and take appropriate actions to protect their business and ensure supply needs are met, especially for critical items. The company will be very dynamic, making fast decisions and relying on their capable supply chain team to monitor commodities and take necessary actions. The strategy will depend on the specific purchase and timing, and the company will not hesitate to protect their supply or lock in good prices.
Q:What are the average deal sizes for the 200 AI deals closed in the quarter and how do you foresee the adoption of AI progressing over the next few years?
A:The average deal size was not disclosed due to the varying sizes of the deals, ranging from smaller proof of concept deployments to larger scale deployments. Data lakes and data prep are typically前期 to scale deployments, being preparatory steps for using AI. The adoption of AI is varied across industries, with life sciences, financial services, and some parts of manufacturing and public sectors showing advanced use cases. The specific adoption use cases vary by industry.
Q:What was the year-over-year growth in the first-party hyperscale services business?
A:The first-party hyperscale services business grew 32% year on year.
Q:Is there a risk that the lack of supply will impact overall demand for the company's products?
A:The company has secured supply commitments and pricing through the end of the fiscal year and will take appropriate actions to guarantee supply across a broad ecosystem of suppliers through the next fiscal year. They do not suggest any supply shortages and believe the pricing strategies will ensure sustainability in the marketplace.
Q:What is the impact of moving towards QLC (Quadruple Level Cell) over hybrid or TLC (Triple Level Cell) in the business?
A:The company believes that having a range of technologies like QLC, TLC, and HDDs is beneficial for different use cases within the business. They do not foresee one type of technology completely replacing another as each has its specific use cases.
Q:Can the strong growth rate of the company's first-party and marketplace cloud services business (above 30%) be maintained, and how are new offerings impacting this growth?
A:The company is positive about the growth of their first-party and marketplace cloud services business, which has been robust, growing north of 30% and representing strong customer demand. The Q2 quarter-on-quarter growth was the highest in the history of the cloud business. The company is particularly excited about capturing AI and data-intensive workloads on the cloud, which they believe will drive further growth.
Q:What opportunities does the company see in winning business with sovereign or Neo Clouds that are building their own storage solutions?
A:The company sees opportunities in winning business with sovereign or Neo Clouds that are building their own storage solutions, and these will fit into their strategy. However, specific details on the opportunities identified so far were not provided in the transcript.
Q:What are the competitive advantages of the speaker's company in the AI landscape?
A:The speaker's company has competitive advantages due to the value proposition related to security, multi-tenancy data protection, and hybrid landscape capabilities. These strengths are playing to their advantage as they participate in the broader range of footprints within the software and AI clouds.
Q:Why did the company not fully capitalize on the beat in the quarter?
A:The company did not fully capitalize on the beat in the quarter because they experienced a steep decline in the U.S. public sector business, which was not anticipated in their guidance. They are being cautious due to the prolonged shutdown and the time it takes for governmental agencies to resume procurement and spending.
Q:What does the speaker think about the growth of the storage as a service model?
A:The speaker believes that the storage as a service model is a new way for customers to buy infrastructure, driven by the maturity of these offerings and customers' experience with cloud-based consumption models. The speaker anticipates that this segment of the business will grow as a part of the larger enterprise infrastructure market and is excited to leverage this trend.
Q:What are some recent notable trends or use cases in unstructured data and video analytics?
A:Recent notable trends and use cases include semiconductor manufacturers bringing together millions of documents for better understanding and optimization of their business processes, content production houses using AI to enhance experiences for digital clients, growth in multimodal applications, and the use of video analytics in weather forecasting.
Q:Is the demand from customers for higher memory densities consistent with the company's product roadmap?
A:Yes, the demand from customers for higher memory densities aligns with the company's product roadmap. The company follows customer demand and looks at the supply ecosystem's feedback. Performance, cost, and density are the key drivers of new silicon adoption.
Q:What is the expected impact of AI on storage demand?
A:As AI becomes a bigger part of the overall technology landscape, there will be an increase in storage consumption. The speaker notes that 80% of the current storage use is from AI-related activities, and as inferencing becomes more prevalent, more storage will be utilized.
Q:How does the company plan to capture market share and what factors are considered in this strategy?
A:The company plans to capture market share by focusing on the software and data platform that customers sign up for, differentiating with cloud, cyber, and advanced data management capabilities, and having a flexible set of tools for services like Keystone or subscription-based services.
Q:What is the potential natural ceiling for the public cloud gross margin business?
A:The company feels comfortable operating within the current target range for cloud gross margin and sees no significant upward bias at this time. The potential natural ceiling for the business is within the range that was published last quarter.
Q:What factors influenced the company's cash flow in the second quarter?
A:The factors influencing the company's cash flow in the second quarter include seasonality, Q2 being typically lower, and the last installment of the tax payment related to the transition tax from the enacted law in the previous year.
Q:What are the key sources of wins in the enterprise storage business?
A:The key sources of wins in the enterprise storage business include unified data management, hybrid cloud deployment options, and an increasing number of customers due to built-in compliance, cyber resilience solutions.
Q:How does the company feel about its position in the enterprise AI market?
A:The company feels really strong about its position in the enterprise AI market, highlighting its integrated solutions and an enormous set advantage due to holding all the data.
Q:What are the expectations for revenue growth in the current fiscal year and the next?
A:While the company does not specify exact numbers, it is suggested to expect acceleration into the next year, with a guide provided for fiscal year 27 indicating growth coming from components of the business like Cloud, Keystone, and AI.
Q:What factors drove the uptick in large deal activity in the quarter?
A:The uptick in large deal activity is attributed to execution, with the company having a good pipeline and closing deals as expected, without being impacted by supply chain shortages.
Q:What is the reason for the decrease in Opex on a year-over-year basis and how sustainable is it?
A:The decrease in Opex is a matter of timing, expected to be potentially slightly higher from the current point, as the company continues to invest in the growth of the business for the second half.
Q:What was the driver behind the strong performance in the AI workload area?
A:The strong performance in the AI workload area was driven by the refresh of the full set of systems last year, which customers had qualified and started using, resulting in strong results, especially in the high-performance area.
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