Snowflake to Release Q1 FY2027 Financial Results
Written by Emily J. Thompson, Senior Investment Analyst
Updated: May 04 2026
0mins
Source: Newsfilter
- Earnings Release Schedule: Snowflake will announce its financial results for Q1 FY2027 on May 27, 2026, after U.S. market close, reflecting the company's ongoing growth in the AI data cloud sector.
- Conference Call Details: Following the earnings release, Snowflake will host a conference call at 2 p.m. Pacific Time, allowing investors to dial in at 1-800-330-6730 (domestic) or 1-646-769-9500 (international), ensuring transparent communication of financial performance.
- Webcast and Replay: The conference call will be webcast live on Snowflake's Investor Relations website, with an audio replay available two hours post-call and accessible for 30 days, enhancing investor engagement and information accessibility.
- Customer Base and Market Position: With over 13,300 customers, including many of the world's largest companies, Snowflake demonstrates a strong market position in the AI data cloud platform, driving enterprise innovation and maximizing data value.
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Analyst Views on SNOW
Wall Street analysts forecast SNOW stock price to fall
33 Analyst Rating
30 Buy
3 Hold
0 Sell
Strong Buy
Current: 280.160
Low
237.00
Averages
278.19
High
312.00
Current: 280.160
Low
237.00
Averages
278.19
High
312.00
About SNOW
Snowflake Inc. is an artificial intelligence (AI) data cloud company. The Company provides a platform which powers the AI data cloud, enabling customers to consolidate data into a single source of truth to drive insights, apply AI to solve business problems, build data applications, and share data and data products. Its cloud-native architecture includes three independently scalable but logically integrated layers across storage, compute, and cloud services. The storage layer ingests massive amounts and varieties of structured, semi-structured, and unstructured data. The compute layer provides dedicated resources to enable users to simultaneously access common data sets for many use cases with minimal latency. The cloud services layer enables users to securely use AI within applications, tools, and processes. Its platform supports a wide range of product categories for customers’ business objectives, including analytics, data engineering, AI, applications and collaboration.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
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- Price Target Upgrade: Wedbush Securities raised its price target for Snowflake from $270 to $280 while maintaining an outperform rating, emphasizing the critical phase of AI monetization, which further boosts market confidence in the stock.
- Deepened Strategic Partnership: Snowflake announced a $6 billion multi-year infrastructure commitment with Amazon Web Services, including the use of AWS's custom AI chips, solidifying its relationship with a key go-to-market partner and signaling confidence in future workload volumes.
- Positive Market Reaction: Snowflake's shares have risen 29.3% year-to-date, reaching a new 52-week high of $280.17, indicating strong investor optimism about the company's growth prospects, despite significant volatility over the past year.
See More
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- Accelerated Enterprise Adoption: The partnership between Snowflake and Anthropic is driving rapid enterprise adoption of AI, with clients like Basis, Block, and Carvana indicating a growing market demand for governed, production-ready AI, thereby enhancing both companies' market positions in the AI sector.
- Cortex AI Innovation: Snowflake Cortex AI integrates Claude models, enabling enterprises to apply AI directly on their governed data, enhancing data security and observability, which helps clients transition faster from AI experimentation to production, increasing trust and willingness to use.
- Deep Co-Innovation: Snowflake and Anthropic are deepening their collaboration within Cortex AI, with Claude supporting various business scenarios including cybersecurity and financial analysis, facilitating AI applications in complex workflows and further solidifying their competitive advantage in the market.
- Strong Market Demand: As enterprises operationalize AI across critical workflows, Snowflake and Anthropic's solutions are widely applied in customer support, life sciences research, and other fields, demonstrating the importance and potential of AI across industries, driving tangible business outcomes.
See More
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- Partnership Drives AI Adoption: The collaboration between Snowflake and Anthropic is enhancing the adoption of Claude among enterprises through Snowflake Cortex AI, reflecting a significant shift in enterprise expectations for AI, particularly the desire for AI that can work directly with governed data rather than in isolated systems.
- Significant User Growth: Snowflake Cortex Code has surpassed 7,100 users, making it the fastest-growing product in the company's history, indicating strong demand for AI solutions, with clients including Basis, Block, and Carvana.
- Data Governance Advantage: Snowflake provides the governed data environment that enterprises rely on, while Claude offers the reasoning capabilities to leverage that data, enabling organizations to easily utilize trusted AI for critical business data, thereby enhancing decision-making efficiency.
- Optimistic Market Outlook: With robust demand for AI products, Snowflake's market performance is rebounding, and analysts believe the company's potential in the AI sector remains undervalued, suggesting it will continue to attract more enterprise clients in the future.
See More
Thomson Reuters Partners with Snowflake to Accelerate AI Development
- Governed Data Foundation: Since selecting Snowflake in 2021, Thomson Reuters has established a single trusted data source with over 37,500 governed tables and 350 data sources, enhancing data governance and security while enabling internal teams to build and share trusted data products.
- Accelerated AI Innovation: Utilizing Snowflake Cortex, Thomson Reuters transforms complex regulatory data into real-time insights, significantly speeding up intelligent app development, with key workloads running up to 3.4 times faster, allowing teams to shift from static reporting to near real-time insights.
- Modernization Transformation: Thomson Reuters also employs Snowflake CoCo to accelerate modernization, helping teams efficiently transition legacy systems to Snowflake, simplifying development processes while ensuring security and compliance are maintained.
- Enterprise AI Standards: By building on Snowflake's governed data foundation, Thomson Reuters demonstrates how to scale AI and governance together on a single platform, setting a new standard for enterprise innovation in regulated industries, ensuring reliable AI solutions in high-stakes environments.
See More
Sanofi Reinvents Drug Development with AI on Snowflake
- AI-Driven Drug Development: Sanofi aims to become the first biopharma company powered by AI at scale by deploying AI on the Snowflake platform, enhancing efficiency across R&D, manufacturing, and commercial decision-making processes.
- Sales Rep Support Tool: The newly launched 'Concierge for Field' AI agent generates pre-call plans for sales representatives in seconds, significantly reducing the manual research time from hours to mere seconds, thereby boosting sales team productivity.
- Data Unification and Application: By collaborating with Elementum, Sanofi has unified its data and leveraged Snowflake Cortex AI, eliminating the friction and costs associated with traditional enterprise software, enabling AI workflows to run directly on Snowflake and enhancing data utilization.
- Future Outlook: Sanofi's digital transformation not only accelerates drug development but also sets a new standard for the life sciences industry, demonstrating how building AI directly on trusted enterprise data can lead to measurable business impacts.
See More
Snowflake Advances New Era of Data Interoperability
- Interoperability by Design: Snowflake enables seamless data interoperability through support for Apache Iceberg v3® and Snowflake Storage for Apache Iceberg Tables, allowing enterprises to work efficiently across different clouds and tools, thereby reducing data movement costs and enhancing data utilization efficiency.
- Centralized Governance Capabilities: With Snowflake Horizon Catalog, organizations can consistently apply governance features across all data platforms, ensuring data security and compliance, which enhances trust and transparency in data management.
- Enterprise Application Examples: Companies like Affirm, Indeed, and Samsung Ads are leveraging Snowflake to simplify their data architectures and build AI on a trusted data foundation, improving decision-making speed and accuracy, thus gaining a competitive edge.
- Future Growth Potential: Snowflake's innovative capabilities enable organizations to access and govern distributed data without adding complexity, accelerating AI project implementation and ensuring that businesses remain at the forefront of digital transformation.
See More
