Snowflake Sets February 25 Release Date for Q4 and Full-Year 2026 Results

SNOWSNOW

Snowflake will release its fiscal fourth-quarter and full-year 2026 results after market close on February 25, 2026. The company will host a conference call at 3 p.m. Mountain Time (access code 084430) to review results, with a replay available for 30 days.

1. Snowflake Enters $200 Million AI Partnership with OpenAI

Snowflake announced a multi-year, $200 million collaboration with OpenAI to embed advanced generative AI models directly into its cloud data platform. Under the agreement, Snowflake will integrate OpenAI’s GPT-4 and future model releases into its data cloud, enabling enterprises to deploy AI agents for tasks such as automated reporting, natural-language queries and predictive analytics. The partnership includes joint go-to-market strategies, co-innovation initiatives and shared technical roadmaps, with Snowflake providing secure data access and governance controls while OpenAI supplies model fine-tuning and optimization for enterprise workloads.

2. Snowflake Schedules Q4 and Full-Year Fiscal 2026 Results Release

Snowflake will report its fourth quarter and full-year fiscal 2026 financial results, covering the period ended January 31, 2026, on February 25, 2026, immediately after U.S. market close. The company will host a live conference call at 3 p.m. Mountain Time (833-470-1428, access code 084430) and webcast the event on its investor relations website. An audio replay will be available two hours post-call for 30 days. As of the period end, Snowflake serves over 12,600 customers globally, including hundreds of Fortune 500 firms, positioning the firm to discuss subscription revenue growth trends and operating margin improvements for the year.

3. Snowflake Highlights Customer Adoption and Platform Innovations

In conjunction with its upcoming results, Snowflake is emphasizing key product and customer milestones from the quarter. The company reported a 45% year-over-year increase in active accounts using its AI Data Cloud, driven by demand in financial services, healthcare and manufacturing. Recent platform enhancements include native support for vector search workloads, expanded multi-cloud replication features and general availability of workload-specific materialized views. These innovations aim to reduce query latency by up to 70% and help clients accelerate time to insight for AI-driven use cases.

Sources

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