Earnings summaries and quarterly performance for Snowflake.
Executive leadership at Snowflake.
Board of directors at Snowflake.
Frank Slootman
Chairman of the Board
Jayshree Ullal
Director
Jeremy Burton
Director
Kelly Kramer
Director
Mark Garrett
Director
Mark McLaughlin
Director
Michael Speiser
Lead Independent Director
Teresa Briggs
Director
William Scannell
Director
Research analysts who have asked questions during Snowflake earnings calls.
Raimo Lenschow
Barclays
7 questions for SNOW
Brent Thill
Jefferies
5 questions for SNOW
Mark Murphy
JPMorgan Chase & Co.
5 questions for SNOW
Sanjit Singh
Morgan Stanley
5 questions for SNOW
Tyler Radke
Citigroup Inc.
5 questions for SNOW
Aleksandr Zukin
Wolfe Research
4 questions for SNOW
Brad Reback
Stifel
4 questions for SNOW
Brad Zelnick
Credit Suisse
4 questions for SNOW
Patrick Colville
Scotiabank
4 questions for SNOW
S. Kirk Materne
Evercore ISI
4 questions for SNOW
Alex Zukin
Wolfe Research LLC
3 questions for SNOW
Joel Fishbein
Truist Securities
3 questions for SNOW
Karl Keirstead
UBS
3 questions for SNOW
Kash Rangan
Goldman Sachs
3 questions for SNOW
Michael Turrin
Wells Fargo
3 questions for SNOW
Mike Cikos
Needham & Company, LLC
3 questions for SNOW
Bradley Sills
Bank of America
2 questions for SNOW
Brent Bracelin
Piper Sandler Companies
2 questions for SNOW
Kasthuri Rangan
Goldman Sachs
2 questions for SNOW
Keith Weiss
Morgan Stanley
2 questions for SNOW
Kirk Materne
Evercore Partners
2 questions for SNOW
Matt Hedberg
RBC
2 questions for SNOW
Matthew Martino
Goldman Sachs
2 questions for SNOW
Arti
JPMorgan Chase & Co.
1 question for SNOW
Bo Yin
Jefferies
1 question for SNOW
Dan
HC Wainwright
1 question for SNOW
Gregg Moskowitz
Mizuho
1 question for SNOW
Joe Vandrick
Scotiabank
1 question for SNOW
John DiFucci
Guggenheim Securities
1 question for SNOW
Matthew Calitri
Needham & Company
1 question for SNOW
Matthew Hedberg
RBC Capital Markets
1 question for SNOW
Michael Cikos
Needham & Company
1 question for SNOW
Michael Richards
RBC Capital Markets
1 question for SNOW
Patrick Walravens
Citizens JMP
1 question for SNOW
Recent press releases and 8-K filings for SNOW.
- Snowflake announced new AI innovations, including the general availability of Semantic View Autopilot, an AI-powered service designed to automate semantic view creation and governance, aiming to deliver consistent and trustworthy AI outcomes.
- The company also introduced new capabilities such as Snowflake Notebooks (now generally available) for ML development, Cortex Code (generally available soon) for automating ML pipelines, and Cortex Agent Evaluations (generally available soon) to ensure traceable and auditable AI agent behavior.
- These innovations are intended to accelerate time-to-insight, reduce manual effort, and provide expanded cost governance through Cortex AI Functions (now generally available).
- Snowflake has unveiled Cortex Code, a new Snowflake-native AI coding agent designed to automate and accelerate end-to-end enterprise development by understanding enterprise data context.
- Cortex Code enables customers, including Braze, Decile, dentsu, FYUL, LendingTree, Shelter Mutual Insurance, TextNow, United Rentals, and WHOOP, to perform complex data engineering, analytics, machine learning, and agent-building tasks using natural language.
- The agent aims to increase productivity for data teams, allowing them to build data pipelines, analytics, and AI apps faster with enterprise-grade security and governance.
- Cortex Code CLI is now generally available for local development workflows, and Cortex Code in Snowsight will be generally available soon.
- Snowflake also announced new capabilities, including an integration with v0 by Vercel (generally available soon) for AI app creation and agentic web search by Brave Search (in public preview) for real-time web knowledge within Snowflake.
- Snowflake announced advancements to make enterprise data AI-ready, including the upcoming general availability of Snowflake Postgres, which unifies transactional, analytical, and AI use cases on a single, secure platform.
- Snowflake Postgres aims to eliminate complex data pipelines, allowing companies to move existing applications onto Snowflake without code changes.
- Key enhancements include Snowflake Horizon Catalog for data access and governance, Open Format Data Sharing for secure data sharing across formats like Apache Iceberg and Delta Lake, and a new integration with Microsoft OneLake.
- Snowflake Backups are now generally available, strengthening data resilience and protecting business-critical data.
- Snowflake announced a multiyear, $200 million partnership with OpenAI to natively integrate OpenAI’s frontier models into Snowflake Cortex AI across AWS, Azure, and Google Cloud.
- This integration will enable customers to build AI applications and enterprise agents that can query and analyze text, images, and audio with SQL, without moving data outside Snowflake’s secure platform.
- The collaboration will make OpenAI’s latest models, including GPT-5.2, available to Snowflake’s global customer base, which includes 12,600 customers with 688 spending over $1 million annually.
- Snowflake and OpenAI have forged a multi-year partnership agreement valued at $200 million to deliver advanced AI model capabilities to enterprise customers.
- This collaboration will make OpenAI models, including GPT-5.2, natively available to Snowflake's 12,600 global customers within Snowflake Cortex AI across all three major clouds.
- The partnership aims to accelerate agentic AI adoption across global enterprises, enabling customers like Canva and WHOOP to build and deploy AI agents on their proprietary data.
- Snowflake launched Energy Solutions, an AI Data Cloud offering that unifies IT, OT, and IoT data with governance and partner-built applications for power, utilities, and oil & gas firms.
- The rollout includes a partnership with SAP and over 30 partner solutions, already being used by customers such as ExxonMobil, PG&E, Powerex, and Sunrun.
- For investors, this vertical push and deeper ecosystem integrations could expand distribution and recurring-revenue opportunities, though the financial upside will depend on customer adoption, pricing, differentiation, and Snowflake’s broader profitability dynamics.
- Snowflake announced a collaboration with Innovaccer to accelerate enterprise AI adoption across the healthcare sector.
- Innovaccer's Gravity Healthcare Intelligence Platform will operate on Snowflake's AI Data Cloud for Healthcare & Life Sciences and Snowflake Cortex AI services.
- This partnership aims to enable healthcare organizations to rapidly build and deploy AI workflows, with joint customers already seeing benefits such as reduced data integration timelines by nearly 30% and 20% to 25% infrastructure cost savings.
- Snowflake announced its intent to acquire Observe, a leader in AI-powered observability, to expand its capabilities in the $51.7 billion IT operations management software market.
- The acquisition will integrate Observe's platform directly into Snowflake's AI Data Cloud, enabling enterprises to ingest and retain 100% of their telemetry data at lower cost.
- This integration is expected to facilitate a shift from reactive monitoring to proactive, automated troubleshooting, potentially resolving production issues up to 10 times faster.
- The combined solution will leverage an open-standard architecture based on Apache Iceberg and OpenTelemetry, designed for scalable AI agents and applications.
- Snowflake has expanded its collaboration with Google Cloud, integrating Google's Gemini 3 large language models (LLMs) natively into Snowflake Cortex AI.
- This integration allows customers to develop, deploy, and scale generative AI applications, including intelligent Data Agents, directly within Snowflake's secure environment without moving data.
- The partnership also deepens go-to-market alignment, featuring joint customer engagements, new co-sell opportunities, and transaction capabilities through the Google Cloud Marketplace.
- Snowflake is launching on Google Cloud in Saudi Arabia and will launch in Melbourne, Australia in early 2026 to support growing customer demand.
- Snowflake Ventures announced a strategic investment in Ataccama, an agentic data trust company, to deepen their existing partnership.
- The investment aims to deliver trusted, explainable data for enterprise AI, advanced analytics, and regulatory compliance across the Snowflake AI Data Cloud.
- Customers are expected to benefit from deeper integration with Snowflake-native data quality features and enhanced trust signals in Snowflake Cortex AI workflows.
- Ataccama has demonstrated strong growth, achieving a 30% CAGR over the past three years, with Fortune 500 organizations spending an average of more than $500,000 annually on its platform.
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