Snowflake (SNOW.US) 2026财年第三季度业绩电话会
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会议摘要
Snowflake reports 29% YoY product revenue growth, exceeding Q3 expectations, with strong Q4 guidance. The company highlights rapid adoption of Snowflake Intelligence, driving AI use cases and customer base expansion. Strategic focus on AI capabilities, consumption model, and operational efficiency supports future growth, with plans for sales and marketing investments. Snowflake reaffirms leadership in enterprise AI, innovation, and customer success, raising FY 26 revenue guidance to $4.446 billion, 28% YoY growth.
会议速览
The earnings call moderator welcomes participants, introduces the CFO and CEO, and outlines the agenda, including Q3 FY2026 financial review and Q4/FY2026 guidance. Forward-looking statements are noted, emphasizing potential risks.
Snowflake highlights robust Q3 financials, including 29% year-over-year product revenue growth, and reiterates its focus on AI innovation and customer partnerships, setting higher annual growth expectations.
Snowflake's AI data cloud, with its focus on customer needs, is transforming businesses by providing intuitive, secure, and collaborative data solutions. More than 7,300 accounts use Snowflake's AI capabilities weekly, and the general availability of Snowflake Intelligence has led to the fastest product adoption in company history, with 1,000 customers harnessing next-generation agentic AI for real business impact at scale.
Snowflake Intelligence propels global SaaS platforms and enterprises with AI capabilities, enhancing data management, decision-making, and customer engagement. Achieving $100M AI revenue run rate, strengthening customer ties, and expanding partnerships with tech giants, Snowflake ensures reliability and innovation, driving business growth and operational efficiency.
Snowflake's global community engagement soared with record-breaking participation in events, underscoring the company's relentless innovation and AI focus. Key initiatives include the Snowflake Intelligence platform, partnerships with Google Cloud, and acquisitions enhancing data migration and cataloging, all aimed at delivering a scalable, performant data platform.
Snowflake reports a robust Q3 with accelerating RPO growth, healthy customer retention, and strategic partnerships. The company surpassed $2 billion in AWS Marketplace sales, launched a business group with Accenture, and signed record-large deals, showcasing strong financials and market momentum.
Achieved robust non-GAAP margins and cash flow, expanded customer base, and forecasted increased product revenue and margins for Q4 and FY26, reflecting disciplined financial management and strategic hiring.
Impressed by Snowflake's team energy and finance depth, customer loyalty, and product release velocity, the speaker highlights these as key factors for future growth, emphasizing alignment across finance, go-to-market, and product teams for efficient scaling.
A discussion on Snowflake's impressive product revenue growth and guidance, focusing on AI product adoption and customer use cases, as well as Cortex AI adoption.
Despite a $1-2 million revenue impact from hyperscale, the company delivered 29% year-over-year revenue growth in Q3. Guidance for the fiscal year was increased by $51 million to $4.446 billion, reflecting robust customer behavior trends into Q4.
Snowflake Intelligence transforms data access, enabling non-analysts to utilize complex data sets directly from their devices. By creating specialized data agents for various functions, it provides immediate answers to queries, replacing the need for complex dashboards. This democratization of data access, showcased through real-world examples and high-level interest, drives widespread adoption across companies, unlocking new possibilities for business users.
Discusses how Snowflake leverages AI, particularly Snowflake Intelligence, to demonstrate value to new customers, expanding its product offerings from core data warehousing to include AI, ML, and tools like OpenFlow for a comprehensive data lifecycle management solution.
The dialogue highlights the company's focus on accelerating go-lives for AI-driven use cases, leveraging AI to speed up implementation. This strategy is expected to reinforce optimism and contribute significantly to the forecasted growth in the latter half of the year, with a strong emphasis on consumption trends and winning new use cases.
The dialogue discusses a significant $200 million investment in Anthropic, highlighting the strategic importance of AI in driving future revenue. It emphasizes the confidence in AI's role, the inclusion of both purchase commitments and market expansion strategies, and the projected acceleration of business growth through partnerships.
The dialogue discusses the impact of migrations on product revenue, highlighting the early stage of migrations and their positive effect on Snowflake. It also touches on the role of AI in accelerating migrations and the benefits of strategic acquisitions. Additionally, it provides insights into Q4 operating margins, noting a slight decrease from previous guidance and invites further unpacking of factors influencing margin adjustments.
The dialogue discusses how zero-copy agreements facilitate smoother data sharing among SaaS vendors, enhancing Snowflake's role as a central data hub. These agreements, seen with companies like ServiceNow, Salesforce, and Workday, simplify data collaboration, supporting Snowflake's mission and potentially increasing data value for customers, especially in the context of agentic AI systems.
The dialogue highlights Snowflake's pivotal role in customers' AI strategies, with investments increasingly tied to AI budgets. It discusses Snowflake's ecosystem, including Cortex Analyst, Cortex search, and Snowflake Intelligence, which help structure data for AI agents, ensuring reliability and performance. The conversation underscores Snowflake's partnerships with major model providers and its expertise in data and modeling, positioning it as a central player in enterprise AI, driving value from data through AI integration.
The dialogue highlights Snowflake's pivotal role in facilitating rapid AI integration among its customers, attributing this success to its comprehensive data platform. It discusses how Snowflake intelligence and partnerships expand capabilities, suggesting a trend towards market standardization around a select few platforms for data management.
Discusses Snowflake's easy AI integration, driving broad customer adoption and value expansion. Highlights the impact of large deals on revenue timing, noting their varying occurrence affects quarter-to-quarter revenue patterns.
Discusses the impact of large deals on quarterly revenue, emphasizing long-term trends and AI product suite advancements. Highlights 100 million consumption threshold, AI readiness of data, and Snowflake Intelligence's role in accelerating data migration and engineering workloads.
The dialogue discusses the company's strategy to balance significant sales and marketing investments with margin expansion, emphasizing the maturation of teams and efficiency gains as key factors for sustainable growth.
The dialogue discusses the factors behind Snowflake's Q3 revenue beat, emphasizing the variability in large customer migrations and the company's guidance philosophy. It reassures stakeholders that the guidance philosophy remains consistent, focusing on annual growth rather than quarterly fluctuations.
The dialogue underscores Snowflake's impressive $100 million AI revenue, driven by the Cortex product suite, including Snowflake Intelligence. It discusses the growing adoption of AI solutions, the integration of PostgreSQL for enhanced data management, and the significance of large-scale customer deals. Snowflake's focus on AI and data innovation is highlighted, with expectations of continued growth and margin expansion.
要点回答
Q:What are the financial results for Snowflake's Q3 fiscal 2026?
A:Snowflake's Q3 product revenue was $1.16 billion, up 29% year over year. The remaining performance obligations totaled $7.88 billion, with year-over-year growth accelerating to 37%. The net revenue retention remains stable at a very healthy 125%, and they added a record 615 new customers this quarter.
Q:How is Snowflake's mission and progress toward it described?
A:Snowflake's mission is to empower every enterprise to achieve its full potential through data and AI. They continue to double down on what makes Snowflake unique, delivering an AI data cloud that is enterprise-ready with a radical focus on customers.
Q:What are the new capabilities and integrations announced by Snowflake?
A:New capabilities include the general availability of Snowflake Intelligence, setting the tone for enterprise-grade AI, and partnerships with Workday, Splunk, Palantir, UiPath, and more. These partnerships are aimed at enabling secure and seamless data access across systems and unblocking new innovations like agent-to-agent collaboration. A landmark partnership with SAP was also announced, integrating mission-critical business data with the Snowflake AI Data Cloud.
Q:What is Snowflake Intelligence and how is it being utilized by customers?
A:Snowflake Intelligence is transforming how businesses interact with their data by turning natural language into real-time actionable intelligence. It is used by customers like Coca-Cola and consolidated PayPal to manage and query data, make faster trading and risk management decisions, and automate customer case resolution, among other uses.
Q:What recent achievements in AI adoption and partnerships has Snowflake made?
A:Recent achievements include achieving a $100 million AI revenue run rate one quarter earlier than anticipated, landing a record number of new logos, and AI influencing 50% of the bookings signed in the quarter. They also partnered with AstraZeneca to access and analyze real-time data.
Q:How is Snowflake's disaster recovery capability described?
A:Snowflake's disaster recovery capability was highlighted for seamlessly transferring more than 300 mission-critical workloads to backup systems during a major cloud service provider outage, ensuring business continuity for customers when it mattered the most.
Q:What recent events and community engagement has Snowflake experienced?
A:During Snowflake's annual World Tour, over 40,000 customers, partners, and prospects joined across 23 events, representing a year-over-year increase of more than 40%. The annual Build Developer Summit saw a 43% increase in attendance year over year, signifying growing excitement and engagement.
Q:What recent acquisitions have been made by Snowflake and what are their purposes?
A:Snowflake acquired the technology behind the Tectum software migration solution to help customers move to Snowflake at lower cost and with minimal disruption. It also agreed to acquire certain assets to enhance its data catalog and provide a more complete view of an enterprise's data state.
Q:What recent achievements have been made in terms of sales and partnerships?
A:Snowflake has surpassed $2 billion in sales through AWS Marketplace in a single calendar year and was recognized with 14 AWS Partner Awards. It has also announced a commitment from Accenture to train over 5000 professionals on Snowflake solutions to help customers realize AI value faster.
Q:What is the impact of Snowflake's strategic partnerships?
A:Strategic partnerships with leading cloud service providers, AI model developers, SaaS providers, and global system integrators are unlocking new levels of performance, accessibility, and AI-driven insight for customers while expanding the value and impact of the Snowflake platform across industries.
Q:What were the key financial highlights for Q3?
A:In Q3, revenue grew 29% year over year, with product revenue up 29%, driven by global growth in the core business and expansion into data engineering and AI workloads. Non-GAAP product gross margins were 75.9%, and non-GAAP operating margin expanded more than 450 basis points year over year to 11%. The company also achieved strong booking results, signed record number of large deals, and maintained financial discipline with healthy margins and non-GAAP adjusted free cash flow margin of 11%.
Q:What is the financial outlook for Q4 and the fiscal year 2026?
A:For Q4, product revenue is expected to be between $1.195 and $1.2 billion, representing a 27% year-over-year growth. The expected non-GAAP operating margin is 7%. For fiscal year 2026, the company raised the product revenue guidance to approximately $4.446 billion, representing 28% growth, and updated the margin targets to expect non-GAAP product gross margin of 75%, non-GAAP operating margin of 9%, and non-GAAP adjusted free cash flow margin of 25%.
Q:What is the impact of migrations on product revenue this quarter compared to last quarter?
A:Migrations are positive for Snowflake, with the CEO indicating that the company is 15% to 20% of the way through legacy migrations. This is beneficial as the data within Snowflake becomes more valuable and is expected to drive business more effectively. AI, specifically products like Snowflake Intelligence, is also seen as a powerful pull factor, enhancing the data's value. Migrations are being closely watched throughout the use case lifecycle with a goal to accelerate the process.
Q:How will zero copy agreements impact Snowflake's adoption and ability to monetize data?
A:Zero copy agreements facilitate data sharing in a faster and more efficient manner, which is beneficial for both Snowflake and its customers. These agreements are particularly relevant for SaaS vendors under pressure to share data with their customers. The process of data collaboration becomes easier, and it helps to make data flow more smoothly. This is seen as a big step forward for everyone involved, especially customers, and is expected to drive Snowflake's mission to be at the center of all of the data needs for their customers.
Q:Is Snowflake becoming a central part of customers' AI and data strategies, and how are customers committing to this?
A:Yes, Snowflake is becoming increasingly central to customers' AI and data strategies, as indicated by a Fortune 150 customer describing Snowflake as the most important piece of their strategy and tying their Snowflake budget to AI investments. They are broadening their adoption of products on the Snowflake platform. This trend is supported by the company's efforts to be a genuine player in enterprise AI, which involves building on earlier products and creating an ecosystem that provides value to customers.
Q:What is the Snowflake AI stack comprised of?
A:The Snowflake AI stack consists of the product suite which includes Cortex AI and AI SQL, accessible from SQL and as a rest API. Additionally, it includes the Cortex Search and Cortex Analyst for unstructured data products, and Snowflake Intelligence which builds on the foundational building blocks to provide an agentic solution for data products.
Q:What does Snowflake plan to focus on besides making all data in Snowflake AI consumable?
A:Besides making all data in Snowflake AI consumable, Snowflake plans to focus on migrating from legacy systems, bringing data into Snowflake, using products like OpenFlow, and enabling data engineering workloads using their coding agents to accelerate value for customers and business potential.
Q:How does Snowflake plan to balance investment in sales and marketing with the goal of driving margin expansion?
A:Snowflake plans to balance investment in sales and marketing with driving margin expansion by continuing to invest in these teams while also upskilling their labor force, including engineers and solution engineers. The company expects to aid substantially from the maturation of their current team investments and aims to increase efficiency within the company. They plan to continue investing in the business and see substantial gains in operational efficiency and effectiveness, targeting both healthy expansions in operating margin and SBC year over year improvements.
Q:Is there a change in the guidance philosophy at Snowflake?
A:There has been no change in the guidance philosophy at Snowflake. The company cautions that large migrations are lumpy and not easy to predict. They use the same guidance philosophy as before, which involves cautious forecasting and updating guidance based on actual results and performance.
Q:What can be said about the $100 million AI run rate and future growth potential?
A:The $100 million AI run rate is impressive and expected to continue growing well into the future. While specific growth rates are not disclosed, early conversations indicate that customers are welcoming PostgreSQL within Snowflake and see it as a robust and reliable data platform. This will be important for certain use cases like agentic solutions. Further discussions and confirmations from the company suggest that the growth will be driven by the adoption of the Cortex product suite and Snowflake Intelligence.
Q:What is the impact of the recent RPO bookings and how is the company positioned for future performance?
A:RPO bookings of roughly a billion dollars in the quarter are indicative of customers' future spending plans. The focus is on product revenue as the best indicator of collective customer spending on Snowflake. The upcoming fiscal year's guidance will be based on consumption behavior post-holiday season, which will be closely observed in January and February to ensure accurate forecasting. Snowflake remains focused on the enterprise AI revolution, with a strong product revenue growth and a positive outlook for the remainder of fiscal 26, indicating durable, high growth, and continued margin expansion opportunities.

Snowflake, Inc. Class A
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