Snowflake's trading volume on February 11th was $1.109 billion, a decrease of 35.59% compared to the previous trading day.

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On February 11, 2026, internet services and infrastructure company Snowflake (SNOW) had a trading volume of $1.109 billion, ranking 115th among U.S. stocks for the day. Its trading volume decreased by 35.59% compared to the previous day, with a daily trading volume of 6.2318 million shares.

Snowflake (SNOW) fell 2.05% on February 11, 2026, closing at $178.83. The stock increased by 8.19% over the past five trading days, declined 7.20% for the entire month of February, is down 18.48% since the beginning of the year, and has decreased 2.57% over the past 52 weeks.

*If the company has been listed for less than 52 weeks, the 52-week change is calculated from the listing date to the present (this also applies to companies listed for less than one month or fewer than five trading days).

Snowflake (SNOW) Trading Volume / USD Change in Trading Volume from Previous Day Trading Volume
February 11, 2026 1.109 billion -35.59% 6.2318 million
February 10, 2026 1.722 billion 12.05% 9.4005 million
February 9, 2026 1.537 billion -4.79% 8.8288 million
February 6, 2026 1.614 billion 24.81% 9.6193 million
February 5, 2026 1.293 billion -54.83% 8.0894 million

Snowflake released its third-quarter fiscal year 2026 (cumulative) financial report on December 5, 2025. From February 1, 2025, to October 31, 2025, revenue was $3.4 billion, up 28.80% year-over-year, with a net loss of $1.019 billion, an increase of 5.81% compared to the previous year.

On February 11, 2026, Goldman Sachs maintained a “Buy” rating for Snowflake with a target price of $246.

Snowflake Inc. was founded on July 23, 2012, in Delaware. The company’s Cloud Data Platform is an innovative technology powering the Data Cloud. The platform enables customers to consolidate data into a single source of truth to drive meaningful business insights, build data-driven applications, and share data. Its cloud-native architecture consists of three independent, scalable layers across storage, compute, and cloud services. The storage layer ingests large volumes of structured and semi-structured data to create a unified data record. The compute layer provides dedicated resources, allowing users to access common datasets for many use cases without latency. The cloud services layer intelligently optimizes performance requirements for each use case without management. This architecture is deployed across three major public clouds spanning 22 regions worldwide. These deployments are interconnected to create the company’s single Cloud Data Platform, providing a consistent global user experience. The platform supports a wide range of use cases that achieve customers’ most important business goals, including data engineering, data lakes, data warehouses, data science, data applications, and data sharing.

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