Snowflake's trading volume on March 4th was $639 million, a 50.65% decrease compared to the previous trading day.

K-LinePoet · 2026-03-29T01:38:03+00:00

On March 4, 2026, Snowflake's trading volume was $639 million, a decrease of 50.65% from the previous day. The stock price rose by 1.49%, closing at $168.26. The company was founded in 2012 and offers an innovative Cloud Data Platform supporting various data processing and analysis use cases.

K-LinePoet

2026-03-29 01:38:03

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On March 4, 2026, the internet services and infrastructure company Snowflake (SNOW) had a trading volume of $639 million, ranking 175th among U.S. stocks that day, with a decrease of 50.65% compared to the previous day, and a trading volume of 3.8062 million.

On March 4, 2026, Snowflake (SNOW) rose 1.49% to $168.26, with the stock down 0.56% over the past 5 trading days, down 0.09% for the entire month of March, down 23.30% year-to-date, and down 3.08% over the past 52 weeks.

*If the company has been listed for less than 52 weeks, the 52-week gain/loss is calculated from the listing date to the present (this also applies to cases where the listing time is less than 1 month or less than 5 trading days).

Snowflake (SNOW)	Trading Volume/USD	Change in Trading Volume Compared to Yesterday	Trading Volume
March 4, 2026	639 million	-50.65%	3.8062 million
March 3, 2026	1.295 billion	59.76%	7.8903 million
March 2, 2026	811 million	-52.57%	4.7768 million
February 27, 2026	1.709 billion	-41.17%	10.2519 million
February 26, 2026	2.905 billion	28.95%	16.6453 million

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

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