Snowflake Reports Reduced Losses in Q3
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Dec 03 2025
0mins
Source: NASDAQ.COM
Financial Performance: Snowflake, Inc. reported a net loss of $293.9 million for Q3 fiscal 2026, an improvement from a loss of $324.2 million in the previous year, with total revenue reaching $1.21 billion, a 29% increase year-over-year.
Customer Growth: The company experienced strong customer adoption of its AI-ready Data Cloud platform, resulting in a net revenue retention rate of 125% and 688 customers generating over $1 million in product revenue over the last 12 months.
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Analyst Views on SNOW
Wall Street analysts forecast SNOW stock price to rise over the next 12 months. According to Wall Street analysts, the average 1-year price target for SNOW is 285.29 USD with a low forecast of 237.00 USD and a high forecast of 325.00 USD. However, analyst price targets are subjective and often lag stock prices, so investors should focus on the objective reasons behind analyst rating changes, which better reflect the company's fundamentals.
34 Analyst Rating
32 Buy
2 Hold
0 Sell
Strong Buy
Current: 216.000
Low
237.00
Averages
285.29
High
325.00
Current: 216.000
Low
237.00
Averages
285.29
High
325.00
About SNOW
Snowflake Inc. is a data cloud and artificial intelligence company. Its platform is the technology that powers the AI Data Cloud, enabling customers to consolidate data into a single source of truth to drive meaningful insights, apply artificial intelligence (AI) to solve business problems, build data applications, and share data and data products. It provides its platform through a customer-centric, and consumption-based business model. Its cloud-native architecture consists of three independently scalable but logically integrated layers across compute, storage, and cloud services. The compute layer provides dedicated resources to enable users to simultaneously access common data sets for many use cases with minimal latency. The storage layer ingests massive amounts and varieties of structured, semi-structured, and unstructured data to create a unified data record. Its ClearQuery platform allows users to rapidly search, explore, and analyze their data using natural language queries.
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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