Snowflake Shares Rise in After-Hours Trading: Here's the Reason
Written by Emily J. Thompson, Senior Investment Analyst
Source: Benzinga
Updated: Aug 26 20250mins
Snowflake Inc. Stock Movement: Snowflake Inc. shares rose 3.83% in after-hours trading, influenced by MongoDB's strong financial results.
MongoDB's Financial Performance: MongoDB reported better-than-expected second-quarter earnings with revenue of $591.4 million and adjusted earnings per share of $1, surpassing analyst estimates.
Customer Growth and AI Focus: MongoDB added over 5,000 customers this year, emphasizing its role in AI applications, which has contributed to its rising stock price.
Analyst Expectations for Snowflake: Analysts anticipate positive earnings from Snowflake, expecting it to report earnings of 27 cents per share and revenue of $1.09 billion, following a trend of beating estimates in previous quarters.
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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 274.58 USD with a low forecast of 221.00 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
31 Buy
3 Hold
0 Sell
Strong Buy
Current: 220.510
Low
221.00
Averages
274.58
High
325.00
Current: 220.510
Low
221.00
Averages
274.58
High
325.00
Citi
Buy
downgrade
$310 -> $300
2025-12-08
New
Reason
Citi
Price Target
$310 -> $300
2025-12-08
New
downgrade
Buy
Reason
Citi lowered the firm's price target on Snowflake to $300 from $310 and keeps a Buy rating on the shares. The company reported a lower fiscal Q3 beat relative to expectations but issued strong Q4 sales guidance, the analyst tells investors in a research note.
JPMorgan
Mark Murphy
Overweight
maintain
$255 -> $268
2025-12-04
Reason
JPMorgan
Mark Murphy
Price Target
$255 -> $268
2025-12-04
maintain
Overweight
Reason
JPMorgan analyst Mark Murphy raised the firm's price target on Snowflake to $268 from $255 and keeps an Overweight rating on the shares. The company's Q3 product revenue showed less magnitude of upside compared to the "outsized" Q2 upside and dipped below 30% growth, the analyst tells investors in a research note. However, JPMorgan believes Snowflake is seeing broad-based momentum across its business, which should offset the "near-term expectations mismatch."
Morgan Stanley
Overweight
maintain
$272 -> $299
2025-12-04
Reason
Morgan Stanley
Price Target
$272 -> $299
2025-12-04
maintain
Overweight
Reason
Morgan Stanley raised the firm's price target on Snowflake to $299 from $272 and keeps an Overweight rating on the shares. Product revenue growth that slowed to 29% off a tough quarter-over-quarter comparison fell short of investor expectations, but strong bookings and a "robust" Q4 outlook suggests demand "remains healthy," the analyst says following earnings.
Baird
NULL -> Outperform
maintain
$260 -> $270
2025-12-04
Reason
Baird
Price Target
$260 -> $270
2025-12-04
maintain
NULL -> Outperform
Reason
Baird raised the firm's price target on Snowflake to $270 from $260 and keeps an Outperform rating on the shares. The firm updated its model following quarterly results and the firm is positive on its building of AI traction and RPO boost.
See All Ratings
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
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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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