Key Dates and Disclosure Events for Snowflake Shareholders
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Mar 19 2026
0mins
Source: Newsfilter
- Significant Stock Drop: Snowflake's shares fell by $41.72, an 18.14% decline, after the company disclosed consumption headwinds and withdrew its $10 billion product revenue target, severely impacting investor confidence and potentially leading to further stock price declines.
- Investor Day Optimism: On June 27, 2023, Snowflake reaffirmed its confidence in reaching $10 billion in product revenue by 2029 during its Investor Day, stating that consumption was back to expected levels; however, the omission of risks related to efficiency gains potentially misleading investors about future prospects.
- Dismal Earnings Outlook: During the November 29, 2023 earnings call, management reported strong consumption from large customers but failed to disclose that tiered storage pricing had begun affecting revenue, which could lead investors to misjudge the company's financial health.
- Corrective Disclosure Impact: On February 28, 2024, Snowflake disclosed Q4 and full fiscal year 2024 results, acknowledging increased revenue headwinds from efficiency gains and tiered storage pricing, lowering FY 2025 product revenue guidance to 22% growth, significantly below the market expectation of 30%.
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Analyst Views on SNOW
Wall Street analysts forecast SNOW stock price to rise
33 Analyst Rating
30 Buy
3 Hold
0 Sell
Strong Buy
Current: 239.660
Low
237.00
Averages
278.19
High
312.00
Current: 239.660
Low
237.00
Averages
278.19
High
312.00
About SNOW
Snowflake Inc. is an artificial intelligence (AI) data cloud company. The Company provides a platform which powers the AI data cloud, enabling customers to consolidate data into a single source of truth to drive insights, apply AI to solve business problems, build data applications, and share data and data products. Its cloud-native architecture includes three independently scalable but logically integrated layers across storage, compute, and cloud services. The storage layer ingests massive amounts and varieties of structured, semi-structured, and unstructured data. The compute layer provides dedicated resources to enable users to simultaneously access common data sets for many use cases with minimal latency. The cloud services layer enables users to securely use AI within applications, tools, and processes. Its platform supports a wide range of product categories for customers’ business objectives, including analytics, data engineering, AI, applications and collaboration.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
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