Financial Data and Key Metrics Changes - Product revenue in Q4 grew 30% year-over-year to reach $1.23 billion [8] - Remaining performance obligations totaled $9.77 billion, with year-over-year growth accelerating to 42% [8] - Net revenue retention was at a healthy 125% [8] - Fiscal 2026 non-GAAP operating margin reached 10.5%, expanding more than 400 basis points year-over-year [8][9] - Stock-based compensation declined from 41% of revenue in fiscal 2025 to 34% in fiscal 2026, with expectations to further decrease to 27% in fiscal 2027 [9] Business Line Data and Key Metrics Changes - The company added 2,332 net new customers this year, bringing the total to over 13,300 [9] - 740 net new customers were added in Q4, up 40% year-over-year [21] - 733 customers are now spending more than $1 million on a trailing-twelve-month basis, growing 27% year-over-year [21] - A record number of customers crossed $10 million in trailing-twelve-month spend, totaling 56 customers, growing 56% year-over-year [21] Market Data and Key Metrics Changes - The company signed the largest deal in its history, greater than $400 million in total contract value, and signed 7 nine-figure contracts in Q4 [20] - The AI product offerings have seen significant adoption, with over 9,100 accounts using AI by the end of the quarter [10] Company Strategy and Development Direction - The company is positioned at the center of the enterprise AI revolution, focusing on delivering a platform that combines trusted enterprise data with AI capabilities [5][6] - The acquisition of Observe is expected to unlock new expansion opportunities within the customer base and is reflected in the company's outlook [22] - The company aims to continue innovating rapidly, having launched over 430 product capabilities this year [13] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the durability of growth, citing stable growth in the core business and increasing contributions from AI workloads [30] - The company anticipates product revenue growth of approximately 27% year-over-year for FY 2027, with expectations for non-GAAP operating margin to reach 12.5% [24] - Management emphasized the importance of delivering value to customers and maintaining a predictable consumption model to avoid "sticker shock" [59] Other Important Information - The company is focused on operational efficiency, with AI driving improvements in service delivery and project margins [16] - The integration of observability with data and AI products is expected to enhance operational reliability and reduce complexity [14] Q&A Session Summary Question: Durability of 27% growth guidance for FY 2027 - Management indicated that the guidance is based on observed customer behavior and stable growth in the core business, along with contributions from AI workloads [30] Question: Momentum with areas outside the core business - Management highlighted that products like Snowflake Intelligence are major growth drivers, with significant customer adoption [31] Question: Details on the $400 million deal - The deal was with an existing customer and reflects trust in the company's product roadmap and AI strategy [39] Question: Changes in sales strategy under new leadership - Management noted positive influences from the new sales leadership and excitement about product offerings, particularly Cortex Code [45] Question: Observability market and acquisition rationale - Management explained that the acquisition of Observe is a natural extension of their role as a data platform, providing significant efficiency improvements for customers [54] Question: Managing customer consumption and pricing predictability - Management is implementing features to provide price predictability while maintaining a consumption-based model [59] Question: Platform usage predictability compared to last year - Management stated that they have sophisticated systems for consumption prediction and are continuously improving their models [78]

Financial Data and Key Metrics Changes - Product revenue in Q4 grew 30% year-over-year to reach $1.23 billion [8] - Remaining performance obligations totaled $9.77 billion, with year-over-year growth accelerating to 42% [8] - Net revenue retention was at a healthy 125% [8] - Fiscal 2026 non-GAAP operating margin reached 10.5%, expanding more than 400 basis points year-over-year [8][9] - Stock-based compensation declined from 41% of revenue in fiscal 2025 to 34% in fiscal 2026, with expectations to further decrease to 27% in fiscal 2027 [9] Business Line Data and Key Metrics Changes - The company added 2,332 net new customers this year, totaling over 13,300 customers [9] - 740 net new customers were added in Q4, up 40% year-over-year [21] - 733 customers are now spending more than $1 million on a trailing-twelve-month basis, growing 27% year-over-year [21] - A record number of customers crossed $10 million in trailing-twelve-month spend, totaling 56 customers, growing 56% year-over-year [21] Market Data and Key Metrics Changes - The company signed the largest deal in its history, greater than $400 million in total contract value, and signed 7 nine-figure contracts in Q4 [20] - The AI product offerings have seen significant adoption, with over 9,100 accounts using AI by the end of the quarter [10] Company Strategy and Development Direction - The company is positioned at the center of the enterprise AI revolution, focusing on delivering a platform that combines trusted enterprise data with AI capabilities [5][6] - The acquisition of Observe is expected to unlock new expansion opportunities within the customer base and is reflected in the company's outlook [22] - The company aims to continue innovating rapidly, having launched over 430 product capabilities this year [13] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in sustaining growth around 27% for fiscal year 2027, driven by stable growth in the core business and contributions from AI workloads [30][24] - The company is focused on ensuring stability and ongoing excellence in its go-to-market strategy [23] - Management highlighted the transformative impact of AI on their business and customer operations, emphasizing the importance of Snowflake Intelligence and Cortex Code [31][12] Other Important Information - The company plans to host an Investor Day in conjunction with its Summit conference in June [24] - The company is working on features to provide price predictability for customers using Snowflake Intelligence, including a per-user cap [59] Q&A Session Questions and Answers Question: Durability of 27% growth guidance for fiscal year 2027 - The guidance is based on observed customer behavior and reflects high, stable growth in the core business and growing contributions from AI workloads [30] Question: Momentum with areas of the business outside of the core - Products like Snowflake Intelligence are seen as major growth drivers, with significant customer adoption [31] Question: Description of the $400 million deal and sustainable drivers for bookings - The $400 million deal was with an existing customer, indicating trust in the company's product roadmap and AI strategy [39] Question: Observability market and integration of Observe - The observability market is large, and integrating Observe is expected to provide significant value to Snowflake customers [54] Question: Managing customer consumption and potential sticker shock - The company is focused on providing predictable pricing models and ensuring that products deliver value immediately [58]

Core Viewpoint - Snowflake is expanding its AI coding agent, Cortex Code CLI, to support a wider range of data sources beyond its native workflows, enhancing developer capabilities in data engineering environments [1] Group 1: Product Expansion - Cortex Code CLI will now support any data source across systems, starting with dbt and Apache Airflow, which are now generally available [1] - This expansion allows developers to access secure, context-aware AI assistance within their preferred data engineering systems [1]

Core Insights - Experian has launched its Aperture Data Studio integration with Snowflake, enhancing data quality capabilities for organizations [1] - The integration allows organizations to profile, transform, and validate data directly within the Snowflake platform [1] - This collaboration aims to mobilize global data to assist organizations in their data management efforts [1]

Core Viewpoint - Snowflake, an AI Data Cloud company, is set to release its financial results for the fourth quarter and full year of fiscal year 2026 on February 25, 2026, after U.S. market close [1] Group 1: Financial Results Announcement - The financial results will cover the fourth quarter and full year of fiscal year 2026, which ended on January 31, 2026 [1] - A conference call will be held to discuss these financial results [1] Group 2: Conference Call Details - The conference call is scheduled to begin at 3 p.m. Mountain Time on February 25, 2026 [2] - Participants can join the call by dialing (833) 470-1428 with the access code 084430, and international participants can find global dial-in numbers [2] - The call will also be available via a live webcast on the Snowflake Investor Relations website [2] Group 3: Audio Replay Information - An audio replay of the conference call will be accessible two hours after its completion and will remain available for 30 days on the Snowflake Investor Relations website [3] Group 4: Company Overview - Snowflake is positioned as a platform for the AI era, facilitating faster innovation and greater value extraction from data for enterprises [4] - The company serves over 12,600 customers globally, including many of the world's largest companies, utilizing its AI Data Cloud for data, applications, and AI [4]

Core Insights - Snowflake has transformed from a data infrastructure-focused company to an AI-driven AI Data Cloud, significantly enhancing its value proposition in the enterprise data platform space [2][3][9] - AI has contributed to 50% of Snowflake's new customers and accounted for 25% of all use cases, driving a 32% year-over-year increase in product revenue [2][3] Transformation and Strategy - The transition to AI is seen as a critical step in Snowflake's strategic evolution, with a focus on amplifying the value of existing data [3][4] - The new CEO, Sridhar Ramaswamy, has implemented tactical adjustments to improve accountability and streamline operations, emphasizing faster iteration and customer feedback [9][10] - Snowflake Intelligence, set to launch in November 2024, aims to provide natural language querying and semantic search capabilities, enhancing user interaction with data [10][13] Product Development and AI Integration - Snowflake's AI strategy focuses on leveraging existing data rather than competing directly with major AI model developers like OpenAI [13][14] - The company has integrated a unified sales data platform called Raven, which consolidates various sales dashboards into a single interface for better data exploration [14][15] - Snowflake Intelligence is designed to be user-friendly, allowing employees at all technical levels to access and utilize data without needing SQL skills [15][16] Competitive Landscape and Market Position - Snowflake positions itself as a data platform innovator, differentiating from traditional cloud service providers by emphasizing data-first solutions [26][30] - The company recognizes the importance of partnerships with major software vendors like SAP to enhance its market reach and collaborative value creation [31][33] - Continuous innovation is deemed essential for maintaining competitiveness against larger cloud service providers, which possess vast resources [28][29] AI ROI and Business Impact - Coding agents are identified as a high ROI area, enabling faster project execution and lowering technical barriers for businesses [36][37] - The company advocates for a gradual approach to AI investment, encouraging clients to start with small-scale projects to demonstrate value before scaling up [37][38] - Snowflake's role in the data ecosystem is crucial for shortening the time from investment to value realization, especially compared to developing in-house AI solutions [38][39]

Core Insights - Snowflake (SNOW) is experiencing robust growth due to its leadership in cloud-based data analytics and AI-driven solutions, with product revenues reaching $1.09 billion, a 32% increase year over year in Q2 of fiscal 2026 [1][11] Company Performance - The company reported a net revenue retention rate of 125% in Q2 of fiscal 2026, indicating strong customer adoption and usage [2] - The customer base grew by 19% year over year, reaching 12,062 customers in Q2 of fiscal 2026, with 654 customers generating over $1 million in trailing 12-month product revenues [2][11] - Snowflake's partnerships with major cloud providers, particularly Microsoft Azure, contributed to growth, with Azure experiencing a 40% year-over-year growth in Q2 of fiscal 2026 [4][11] AI Integration and Collaborations - Snowflake's focus on AI integration, including products like Cortex AI SQL and Snowflake Intelligence, enhances its analytics capabilities, allowing enterprises to gain deeper insights and automate workflows [3] - A recent collaboration with Siemens aims to connect operational technology (OT) and information technology (IT) data, leveraging AI-driven insights to improve operational efficiency [5] Competitive Landscape - Snowflake faces significant competition from companies like Alphabet (GOOGL) and Datadog (DDOG), both of which are expanding their presence in the cloud analytics market [6] - Alphabet's Google Cloud revenues grew by 31.7% year over year, reaching $13.62 billion in Q2 of fiscal 2025, indicating strong competition in the sector [7] - Datadog reported an increase in its customer base, with 3,850 customers generating an annualized run rate of $100,000 or more, reflecting strong demand for its offerings [8] Stock Performance and Valuation - Snowflake's stock has appreciated by 48.7% year to date, outperforming the broader Zacks Computer & Technology sector's return of 22.4% and the Zacks Internet Software industry's increase of 26.5% [9] - The stock is trading at a premium, with a forward 12-month Price/Sales ratio of 14.79X compared to the Internet Software industry's 6.01X [12] - The consensus estimate for SNOW's fiscal 2026 earnings is $1.17 per share, reflecting a 40.96% year-over-year increase [14]

Core Insights - Yuki has launched the Yuki Optimization Platform as a Snowflake Native App, aimed at enhancing compute operations and workload efficiency for joint customers [1][6] - The platform automates warehouse operations and dynamically adjusts compute resources in near real-time, allowing data teams to optimize resource usage without altering queries or infrastructure [2][3] Company Overview - Yuki is positioned as a real-time optimization platform specifically designed for Snowflake environments, targeting high-scale data teams [7] - The integration with Snowflake allows Yuki to deliver its optimization engine directly within customers' Snowflake instances, ensuring data governance and security [3][6] Industry Context - The partnership between Yuki and Snowflake is expected to empower organizations to scale their operations confidently and innovate on the AI Data Cloud [4][6] - The Yuki Optimization Platform is now available on Snowflake Marketplace, facilitating easier access for joint customers to enhance efficiency and accelerate various use cases [6]

This presentation includes certain non-GAAP financial measures, which have not been prepared in accordance with generally accepted accounting principles in the United States (GAAP). These non-GAAP financial measures are in addition to, and not as a substitute for, or superior to, financial measures calculated in accordance with GAAP. There are a number of limitations related to the use of these non-GAAP financial measures versus their nearest GAAP equivalents. For example, other companies may calculate non- ...

Financial Performance - Snowflake's product revenue reached $996.813 million in Q1 FY26, representing a year-over-year growth of 26%[36, 86] - The company's net revenue retention rate was 124% in Q1 FY26[36, 61] - Snowflake had 606 customers with over $1 million in product revenue as of Q1 FY26, a 27% year-over-year increase[36, 58] - Non-GAAP product gross margin was 76% in Q1 FY26[36, 64] - Non-GAAP operating margin was 9% in Q1 FY26[64, 91] - Non-GAAP adjusted free cash flow margin was 20% in Q1 FY26[64, 96] - Remaining Performance Obligations (RPO) reached $6.687 billion, with 50% expected to be recognized as revenue in the next twelve months[49, 50] Market and Customer Growth - Snowflake estimates its platform TAM to be $342 billion[34] - The company had 11,578 total customers in Q1 FY26[52] - Snowflake had 754 Forbes Global 2000 customers in Q1 FY26[54] AI Data Cloud Metrics - 39% of Snowflake's customers have at least one stable edge for data sharing[72, 79] - There were 3,098 Marketplace listings, a 21% year-over-year growth[72] Fiscal Year 2026 Guidance - Snowflake projects product revenue of $4.325 billion for FY26[74] - The company anticipates a 25% year-over-year product revenue growth for FY26[74] - Snowflake expects a non-GAAP product gross margin of 75% and a non-GAAP operating margin of 8% for FY26[74] - The company forecasts a non-GAAP adjusted free cash flow margin of 25% for FY26[74]