Snowflake Inc. stock drops 7.94% amid market weakness
Written by Emily J. Thompson, Senior Investment Analyst
Updated: 04 Dec 25
Source: Yahoo Finance
Snowflake Inc. shares fell by 7.94% in pre-market trading, crossing down the 5-day SMA, reflecting a negative sentiment in the market.
The decline comes despite the company reporting strong Q3 revenue of $1.21 billion, exceeding analysts' expectations and showcasing robust demand for its data analytics services. Analysts have expressed optimism about Snowflake's future performance following the earnings report.
However, the overall market sentiment remains weak, with the Nasdaq-100 slightly down, which may have contributed to the stock's decline despite its strong fundamentals.
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: 211.270
Low
237.00
Averages
285.29
High
325.00
Current: 211.270
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.
