Palantir's Revenue Growth Accelerates in Q3
Written by Emily J. Thompson, Senior Investment Analyst
Updated: 4h ago
0mins
Source: NASDAQ.COM
- Accelerated Revenue Growth: Palantir's revenue grew 63% year-over-year in Q3 2023, a significant acceleration from 48% in Q2, indicating strong market performance and customer enthusiasm for its AI platform.
- Strong Commercial Revenue: U.S. commercial revenue surged 121% year-over-year in Q3, up from 93% in Q2, demonstrating Palantir's success in diversifying away from heavy reliance on government contracts.
- Valuation Risks Emerge: Despite impressive growth rates, Palantir's forward P/E ratio of 167 suggests high market expectations for future growth, and any signs of deceleration could shake investor confidence and impact stock prices.
- Optimistic Future Outlook: The company’s guidance for Q4 2024 implies a year-over-year growth rate exceeding 60%, and given Palantir's history of beating guidance, this could support its stock price in the short term.
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.








