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 a strong portfolio of innovative products and services, with approximately 250 new capabilities launched in the first half of fiscal 2026 [1][2] Customer Growth and Adoption - In Q2 FY26, Snowflake added 533 new customers, including 15 Global 2000 companies, raising the total customer count to over 12,000 [3][10] - A record 50 customers surpassed the $1 million mark in trailing 12-month revenue, bringing the total of $1 million-plus customers to 654 [3] AI-Driven Solutions - Nearly 50% of new customers in Q2 FY26 were influenced by AI-driven solutions, with 25% of all deployed use cases including AI [4][10] - Over 6,100 accounts utilize Snowflake's AI features weekly [4] Strategic Partnerships - Snowflake's partnerships with OpenAI, Anthropic, and Microsoft Azure are enhancing its AI capabilities and expanding its market reach [5] Competitive Landscape - Snowflake faces strong competition from Microsoft and ServiceNow, both of which are enhancing their AI-driven solutions [6][7] - Microsoft is integrating OpenAI into its Azure Synapse and Fabric offerings, positioning itself as a formidable competitor [6] Financial Performance - Snowflake shares have appreciated 46.2% year to date, outperforming the broader Zacks Computer & Technology sector's return of 18.8% and the Zacks Internet Software industry's increase of 22.2% [8] - The forward 12-month Price/Sales ratio for Snowflake is 14.60X, significantly higher than the industry's 5.82X [11] Earnings Estimates - The consensus estimate for Snowflake's fiscal 2026 earnings is $1.15 per share, reflecting a 38.55% year-over-year increase and a 7.47% rise over the past 30 days [13]

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]

Investment Rating - The report does not explicitly state an investment rating for Snowflake, but the overall performance and growth indicators suggest a positive outlook for the company. Core Insights - Snowflake's total revenue for FY2Q26 reached $1.145 billion, marking a year-on-year growth of 32%, with product revenue also growing by 32%, surpassing market expectations of approximately 30% growth [1][5] - The Non-GAAP product gross margin was reported at 76%, slightly above the expected 75%, while the Non-GAAP operating margin increased to 11%, significantly higher than the market expectation of 9% [1][5] - The acceleration of AI capabilities commercialization and the strengthening of platform lock-in effects are identified as core driving forces for growth [2][6] Summary by Sections Financial Performance - Snowflake's FY2Q26 total revenue was $1.145 billion, with product revenue at $1.09 billion, both reflecting a 32% year-on-year increase [1][5] - The company raised its FY2026 product revenue growth guidance from 26% to 27%, targeting $4.395 billion [3][10] Product Innovations - Over 250 new features were launched in the first half of the year, expanding the enterprise-level AI ecosystem [2][9] - Key AI products include Snowflake Intelligence, Cortex AI SQL, and Gen2 warehouse, which provide significant performance improvements and resource optimization [2][9] Customer Metrics - The number of million-dollar customers increased to 654, with a net revenue retention rate of 125%, indicating existing customers are increasing their investments [4][7] - The company added 533 new customers globally, with a 21% year-on-year growth in net new customers [4][7] Market Position - AWS remains the largest deployment platform for Snowflake, while Microsoft Azure has achieved a 40% year-on-year growth, becoming the fastest-growing cloud environment [4][8]

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]

Core Insights - Snowflake announced the acquisition of Crunchy Data and the launch of Snowflake Postgres, a new type of Postgres database designed for enterprise-level, large-scale, mission-critical AI and transactional systems [1] Group 1 - The new Snowflake Postgres aims to accelerate AI Agent deployment and simplify data management [1] - The database solution is tailored for various industries, including Fortune 500 financial institutions, large-scale SaaS companies, and federal agencies [1]

Core Viewpoint - The acquisition of Crunchy Data by Snowflake, valued at approximately $250 million, is part of a broader trend among tech giants to enhance their database capabilities to support AI agents [1][2]. Group 1: Acquisition Details - Snowflake announced the acquisition of Crunchy Data, a partner specializing in Postgres databases, to strengthen its database offerings for AI applications [1]. - The transaction is estimated at $250 million, although specific terms were not disclosed [1]. - Crunchy Data provides essential tools for enterprises based on Postgres, a popular open-source relational database management system [1]. Group 2: Strategic Implications - This acquisition will enable Snowflake to enhance its Snowflake Postgres capabilities, providing enterprise-level PostgreSQL database services to its clients and partners [2]. - Snowflake aims to address a significant market opportunity valued at $350 billion, focusing on integrating Postgres into its AI data cloud [2]. - The company has previously made strategic acquisitions, including Datavolo, to bolster its data management capabilities [2].

Core Insights - Snowflake plans to acquire Crunchy Data to enhance its capabilities in building and deploying AI agents and applications [1] - The acquisition will integrate Crunchy Data's open-source Postgres technology into Snowflake's AI Data Cloud [1][2] - The deal is subject to regulatory approvals and customary closing conditions [1] Company Developments - The acquisition will introduce a PostgreSQL database called Snowflake Postgres to the AI Data Cloud, which is widely used by developers [2] - Snowflake Postgres aims to improve operational efficiency and speed for users of PostgreSQL [3] - The market opportunity for this integration is estimated at $350 billion, addressing customer needs for Postgres within the Snowflake platform [3] Strategic Partnerships - Crunchy Data is recognized for its security and compliance, making it a trusted partner for organizations in regulated industries [4] - The collaboration is expected to enhance the ability of Snowflake's customers to run mission-critical workloads with increased security [4] Industry Context - Snowflake is establishing a new AI hub in Silicon Valley to support developers and startups in AI initiatives [5] - Databricks is also expanding its AI capabilities by acquiring Neon, a database startup designed for developer workflows [5]