Snowflake (NYSE:SNOW) Q3 2026 Earnings Call December 03, 2025 05:00 PM ET Company ParticipantsBrian Robins - CFOKatherine McCracken - Head of Investor RelationsMatt Hedberg - Head of Global TIMT Research and Director of ResearchSanjit Singh - Executive DirectorKirk Materne - Managing Director and Equity ResearchSridhar Ramaswamy - CEOMike Cikos - Managing Director and Equity ResearchConference Call ParticipantsPatrick Colville - Vice President and Equity Research AnalystNone - Analyst 2Brad Reback - Managin ...

Snowflake (NYSE:SNOW) Q3 2026 Earnings Call December 03, 2025 05:00 PM ET Company ParticipantsBrian Robins - CFOSridhar Ramaswamy - CEOKatherine McCracken - Head of Investor RelationsModeratorGood afternoon. Thank you for attending today's Snowflake Q3, fiscal year 2026, earnings call. My name is Jayla, and I'll be your moderator for today. All lines will be muted during the presentation portion of the call, with an opportunity for questions and answers at the end. At this time, I'd like to pass the confere ...

Financial Data and Key Metrics Changes - Product revenue in Q3 was $1.16 billion, up 29% year over year [4] - Remaining performance obligations totaled $7.88 billion, with year-over-year growth accelerating to 37% [5] - Net revenue retention remained stable at 125% [5] - Non-GAAP product gross margins were 75.9% [18] - Non-GAAP operating margin expanded more than 450 basis points year-over-year to 11% [18] - For Q4, product revenue is expected between $1.195 and $1.2 billion, representing 27% year-over-year growth [19] - FY26 product revenue guidance raised to approximately $4.446 billion, representing 28% year-over-year growth [19] Business Line Data and Key Metrics Changes - Financial services and technology verticals led growth in Q3 [17] - 28% of all use cases deployed during the quarter incorporated AI [9] - 50% of the bookings signed in Q3 were influenced by AI [8] Market Data and Key Metrics Changes - Over 7,300 accounts are using Snowflake's AI capabilities weekly [6] - The company added a record 615 new customers in Q3 [5] - Snowflake surpassed $2 billion in sales through AWS Marketplace in a single calendar year [15] Company Strategy and Development Direction - Snowflake aims to empower enterprises through data and AI, focusing on operational rigor and product innovation [4] - The company is expanding partnerships with major cloud providers and AI model developers to enhance its offerings [16] - New partnerships with companies like SAP and Anthropic are designed to deepen integrations and accelerate enterprise AI adoption [10][14] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the company's growth trajectory, emphasizing the importance of AI in driving customer relationships and revenue [8][19] - The company is focused on efficient growth while maintaining financial discipline [21] - Management highlighted the strong demand for Snowflake's AI data cloud and the transformative impact on customer businesses [20] Other Important Information - The company achieved a major milestone of $100 million in AI revenue run rate, one quarter earlier than anticipated [8] - Snowflake maintained a rapid pace of innovation, bringing total GA product capabilities to 370 year-to-date, a 35% increase over last year [11] Q&A Session Summary Question: Growth rates on product revenue and Q4 guidance - Management noted a 29% year-over-year revenue growth and raised FY guidance by $51 million to $4.446 billion, indicating strong underlying customer behavior [22][24] Question: Types of customers using AI products - Management highlighted various customers leveraging Snowflake Intelligence, including the USA Bobsled team and Fanatics, showcasing the product's ability to unlock data access and drive business value [25][27] Question: Go-to-market strategy and new customer wins - Management indicated that Snowflake Intelligence plays a key role in customer acquisition, allowing for hyper-customized demos that demonstrate the platform's value [29] Question: Impact of migrations on product revenue - Management stated that they are still early in the migration process and expect AI to accelerate these migrations, enhancing product value [35] Question: Zero Copy agreements and their impact - Management explained that Zero Copy agreements facilitate smoother data sharing and collaboration, enhancing the overall value proposition for customers [37][38] Question: Customers tying Snowflake investments to AI budgets - Management confirmed that many customers are increasingly linking their Snowflake investments to AI initiatives, leading to larger and longer-term contracts [40] Question: Growth of AI revenue and future milestones - Management indicated that the $100 million AI revenue run rate is primarily driven by the Cortex product suite and expects continued growth in AI adoption [50][59]

Key Takeaways Snowflake expects Q3 product revenues of $1.125-$1.13B, up 25%-26% year over year. Strong AI capabilities and a broad partner base continue to boost Snowflake's customer growth. Snowflake added 533 net new customers in Q2, with 6,100 using its AI and ML tools weekly. Snowflake (SNOW) is set to release third-quarter fiscal 2026 results on Dec. 3.The Zacks Consensus Estimate for earnings has remained steady at 31 cents per share over the past 30 days, indicating year-over-year growth of 55%. The ...

Core Insights - Investing in stocks with improving fundamentals and increasing exposure to enterprise AI is a smart strategy for long-term investors [1] - Snowflake's shares have gained nearly 60% in 2025 but remain 39% below their peak in November 2021 [1][2] Company Evolution - Snowflake has transitioned from a data warehousing company to an AI-powered data platform, positioning itself as a vital layer in the AI ecosystem [2] - The company’s revenue model is based on platform usage, which aligns interests but can lead to revenue volatility [4] Financial Performance - In Q2 of fiscal 2026, Snowflake's revenue increased by 32% year over year to $1.1 billion, with remaining performance obligations rising by 33% to $6.9 billion [7][8] - The company is not yet profitable on a GAAP basis but has shown a decline in losses, with a non-GAAP operating margin improvement of six percentage points to 11% [8] Customer Growth and AI Integration - Snowflake's AI Data Cloud is utilized by over 12,000 customers, including major technology enterprises [9] - The company added 533 customers in Q2, including 15 Global 2000 companies, and has 654 high-value customers contributing over $1 million [10] Innovations and Features - New features like Snowflake Intelligence and Cortex AI SQL enhance data management and insights generation [11][12] - Snowflake OpenFlow targets the $17 billion data integration market, enabling seamless data handling [14] Market Position and Valuation - Snowflake's shares trade at 20.4 times sales, justified by its critical role in AI infrastructure [17] - Analysts project revenue growth of 27.1% to $4.6 billion in fiscal 2026 and 23.8% to $5.7 billion in fiscal 2027 [19] Future Outlook - The partnership with Palantir Technology enhances data interoperability and accelerates enterprise AI development [18] - Analysts expect significant market capitalization growth, potentially reaching $116.28 billion by the end of fiscal 2027, indicating a 38% gain [20]

Core Insights - Snowflake (SNOW) and Amazon (AMZN) are significant players in the cloud data and analytics market, with Snowflake focusing on cloud data warehousing and analytics, while Amazon offers solutions through AWS, including Amazon Redshift and SageMaker [1][2] Market Overview - The global cloud analytics market was valued at $35.39 billion in 2024 and is projected to reach $130.63 billion by 2030, with a CAGR of 25.5% from 2025 to 2030, indicating strong growth potential for both Snowflake and Amazon [2] Snowflake (SNOW) Performance - Snowflake reported a net revenue retention rate of 125% in Q2 of fiscal 2026, with a 19% year-over-year increase in customer count, reaching 12,062 [3][11] - The company launched around 250 new capabilities in the first half of fiscal 2026, enhancing data management and AI-driven insights [4] - Recent launches include Cortex AI for Financial Services, allowing secure deployment of AI models within Snowflake's AI Data Cloud [5] - Collaborations with OpenAI, Anthropic, and Microsoft Azure have expanded Snowflake's reach, with Azure showing 40% year-over-year growth in Q2 of fiscal 2026 [6] Amazon (AMZN) Performance - Amazon's AWS reported revenues of $30.9 billion in Q2 of 2025, a 17.5% year-over-year increase, with a strong demand for cloud services driven by enterprise migration to the cloud [8][11] - AWS has secured agreements with major companies like PepsiCo and Airbnb, indicating robust enterprise adoption [9] Stock Performance and Valuation - Year-to-date, SNOW shares have increased by 52.3%, outperforming AMZN's 0.1% increase, driven by Snowflake's strong portfolio and expanding partnerships [12] - Both stocks are considered overvalued, with SNOW trading at a forward Price/Sales ratio of 15.04X compared to AMZN's 3.07X [14] - Earnings estimates show SNOW's fiscal 2026 earnings at $1.17 per share (40.96% increase year-over-year) and AMZN's 2025 earnings at $6.76 per share (22.24% increase year-over-year) [17] Conclusion - Both Snowflake and Amazon are well-positioned to benefit from the growing cloud data and analytics market, but Amazon's diversified AWS ecosystem and strong revenue growth provide a more sustainable growth edge [18]

Core Insights - Snowflake (SNOW) is experiencing significant growth driven by its focus on the AI Data Cloud, which is becoming a key growth catalyst for the company [1] Financial Performance - In Q2 of fiscal 2026, Snowflake reported product revenues of $1.09 billion, marking a 32% year-over-year increase, indicating strong demand for its AI Data Cloud [2][10] - Approximately 50% of new customer acquisitions in Q2 were influenced by AI, with 25% of all deployed use cases involving AI [2] - The consensus estimate for SNOW's fiscal 2026 earnings is $1.08 per share, reflecting a 30.12% year-over-year increase [13] Strategic Partnerships - Snowflake has partnered with Siemens to integrate its AI Data Cloud with Siemens Industrial Edge, enhancing data connectivity for manufacturers [3] - Collaborations with OpenAI, Anthropic, and Microsoft Azure are expanding Snowflake's reach and AI capabilities, with Azure showing a 40% year-over-year growth in Q2 [4] Product Development - The company launched approximately 250 new capabilities in the first half of fiscal 2026, including Snowflake Intelligence and Cortex AI SQL, which enhance data management and AI-driven insights [5][10] Competitive Landscape - Snowflake faces strong competition from Amazon (AWS) and Alphabet (Google Cloud), which offer similar AI Data Cloud solutions [6][7] - Amazon's AWS and Alphabet's Google Cloud leverage their extensive ecosystems to attract enterprises, posing challenges for Snowflake's market dominance [6][7] Stock Performance and Valuation - Snowflake's shares have appreciated 51.3% year to date, outperforming the broader Zacks Computer & Technology sector and the Zacks Internet Software industry [8] - The stock is trading at a premium with a forward 12-month Price/Sales ratio of 15.02X compared to the industry's 5.68X [11]

Financial Data and Key Metrics Changes - Product revenue for Q2 was $1,090 million, up 32% year over year, indicating an acceleration in growth from the previous quarter [7] - Remaining performance obligations totaled $6,900 million with year-over-year growth of 33% [7] - Net revenue retention rate was 125%, reflecting strong customer loyalty [7] - Non-GAAP operating margin increased to 11%, showcasing a focus on efficiency and operational growth [7][22] - The company ended the quarter with $4,600 million in cash and investments [24] Business Line Data and Key Metrics Changes - New customer additions increased by 21% year over year, with 50 customers crossing the $1 million in trailing twelve-month revenue, totaling 654 such customers [21][22] - Non-GAAP product gross margin was 76.4% [22] - Non-GAAP adjusted free cash flow margin was 6% [23] Market Data and Key Metrics Changes - Azure was the fastest-growing cloud platform for the company, growing 40% year over year [36] - The company added 533 customers in the quarter, including 15 Global 2000 companies [18] Company Strategy and Development Direction - The company is focused on empowering enterprises through data and AI, with a commitment to product innovation and operational efficiency [6] - The introduction of Snowflake Intelligence and other AI-driven products is central to the company's strategy, aiming to enhance customer experience and operational efficiency [10][11] - The company is expanding its reach into the $17 billion data integration market with Snowflake OpenFlow [12] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the ongoing data modernization efforts among Fortune 500 and Global 2000 companies, viewing it as a long-term growth opportunity [29] - The company anticipates continued strong demand for AI capabilities, with nearly 50% of new logos won in Q2 influenced by AI [15] - Management expects product revenue for Q3 to be between $1,125 million and $1,130 million, representing 25% to 26% year-over-year growth [25] Other Important Information - The company launched approximately 250 new capabilities in the first half of the year, demonstrating a strong pace of innovation [13] - The company is making progress on its CFO transition and will announce details once available [26] Q&A Session Summary Question: Insights on data infrastructure modernization among Fortune 500 companies - Management believes data modernization is just the beginning, driven by the need for scalable systems and AI readiness [29] Question: Contribution from European market - Europe is still developing but contributing, with groundwork being laid for new customer acquisition [33] Question: Performance on Azure - Azure is the fastest-growing cloud platform for the company, with significant alignment and collaboration with Microsoft [36] Question: Drivers of upside in Q2 - The upside was driven by large customer migrations and new product contributions, with core business performance being strong [71] Question: Competitive environment and customer preferences - Management believes Snowflake stands out as the best AI data platform, with increasing recognition of its product quality and capabilities [75] Question: Professional services growth - Growth in professional services was driven by a large customer milestone, with most services being performed by partners [80] Question: AI adoption and monetization strategy - The company has seen broad adoption of AI products without massive sales efforts, focusing on ease of use and value delivery [111] Question: Cortex AI usage and primary use cases - Primary use cases for Cortex AI involve combining structured and unstructured data for flexible access and actionable insights [117]