Daily Turnover | The turnover of Snowflake on 7/17 was $567.80 Million, Ranking 197

Thursday, Jul 17, 2025 6:00 pm ET1min read

The turnover of Snowflake on 7/17/2025 was $567.80 million, ranking 197 in today's market, the Volume is 2.68 million.

Snowflake(SNOW) shares closed at $211.58, down 0.17% on 7/17/2025, down 1.32% in the last 5 trading days, down 5.45% this month, up 37.02% year-to-date and up 62.95% in the last 52 weeks.
*If the company has been listed for less than 52 weeks, the 52-week gain is the gain since the listing.
(The same applies for less than 1 month, or less than 5 trading days)

【History Turnover】

DateTurnoverVolumePricePerformance
7/17/2025$567.80 million2.68 million$211.58-0.17%
7/16/2025$590.66 million2.79 million$211.94-0.40%
7/15/2025$693.78 million3.25 million$212.79-0.34%
7/14/2025$610.87 million2.86 million$213.521.27%
7/11/2025$819.46 million3.87 million$210.84-1.67%

【Company Profile】
Snowflake Inc. was incorporated in the state of Delaware on July 23, 2012. The company's Cloud Data Platform is the innovative technology that powers the Data Cloud. The company's platform enables customers to consolidate 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 independently scalable layers across storage, compute, and cloud services. The storage layer ingests massive amounts and varieties of structured and semi-structured data to create a unified data record. The compute layer provides dedicated resources to enable users to simultaneously access common data sets for many use cases without latency. The cloud services layer intelligently optimizes each use case's performance requirements with no administration. This architecture is built on three major public clouds across 22 regional deployments around the world. These deployments are interconnected to create the company's single Cloud Data Platform, delivering a consistent, global user experience.The company's platform supports a wide range of use cases that enable its customers'most important business objectives, including data engineering, data lake, data warehousing, data science, data applications, and data sharing.

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