Palantir technologies inc. PLTR.US Overview
PLTR AI Analysis & Strategy
Analysis Conclusion
The stock has received the highest rating for its value, but its dividend score is below 2. If the company starts distributing dividends, it may yield even better investment results.
PLTR Current Performance
1.27%
Palantir technologies inc.
0.50%
Avg of Sector
-0.03%
S&P500
PLTR Key Information
PLTR Financial Forecast
Unit : USD
PLTR Earnings Table
Unit : USD
| QTR | Non-GAAP EPS | EPS YoY | EPS Surprise % | Sales | Sales YoY | Sales Surprise % | NPM |
|---|---|---|---|---|---|---|---|
| Current | 0.13 | 62.5% | 0% | 883.86M | 39.3% | -1.7% | 9.5% |
| 2024Q3 | 0.14 | 75% | 27.3% | 827.52M | 36% | -4.8% | 19.8% |
| 2024Q2 | 0.1 | 42.9% | 10.3% | 725.52M | 30% | 2.9% | 19.8% |
| 2024Q1 | 0.09 | 80% | 11.8% | 678.13M | 27.2% | 3.8% | 16.6% |
| 2023Q4 | 0.08 | 60% | 3.5% | 634.34M | 20.8% | 3.1% | 15.4% |
PLTR Profile
Palantir Technologies Inc. builds and deploys software platforms for the intelligence community to assist in counterterrorism investigations and operations in the United States, the United Kingdom, and internationally. The company provides Palantir Gotham, a software platform which enables users to identify patterns hidden deep within datasets, ranging from signals intelligence sources to reports from confidential informants, as well as facilitates the handoff between analysts and operational users, helping operators plan and execute real-world responses to threats that have been identified within the platform. It also offers Palantir Foundry, a platform that transforms the ways organizations operate by creating a central operating system for their data; and allows individual users to integrate and analyze the data they need in one place. In addition, it provides Palantir Apollo, a software that delivers software and updates across the business, as well as enables customers to deploy their software virtually in any environment; and Palantir Artificial Intelligence Platform (AIP) that provides unified access to open-source, self-hosted, and commercial large language models (LLM) that can transform structured and unstructured data into LLM-understandable objects and can turn organizations' actions and processes into tools for humans and LLM-driven agents. The company was incorporated in 2003 and is headquartered in Denver, Colorado.