Palantir Technologies Inc.
PLTR scores 54.9 on the Conservative profile, blending a fundamental score (80% weight, emphasizing quality and stability (84% of fundamental weight)) with a machine-learning signal (20% weight) trained on 82 features across 30 years of data.
Minor adjustments (0.0 points) applied. PLTR's rank of #431 primarily reflects its factor profile relative to the conservative weight vector.
These features are direct inputs to the machine learning model. The model was trained on these signals alongside 100 features (including 12 momentum/technical indicators) to produce the ML percentile score.
No risk factors identified.
| Stock | Score | P/E | Rev Growth | Margin | Mkt Cap |
|---|---|---|---|---|---|
| PLTR | 54.9 | 208.6 | 28.8% | 16.1% | $313.2B |
| MPWR | 84.8 | 91.7 | 21.2% | 81.0% | $57.1B |
| ZM | 84.2 | 18.0 | 3.1% | 21.7% | $27.7B |
| NVDA | 80.6 | 45.2 | 114.2% | 55.8% | $4.5T |
| CRUS | 79.7 | 19.1 | 6.0% | 17.5% | $7.4B |
| ASML | 77.8 | 48.1 | 15.6% | 29.4% | $546.0B |
| IDCC | 77.4 | 31.8 | -4.0% | 48.8% | $9.7B |
| CSCO | 77.1 | 27.6 | 5.3% | 18.0% | $303.6B |
| RMBS | 75.5 | 48.3 | 20.7% | 32.3% | $11.0B |
| DBX | 75.3 | 13.9 | 1.9% | 17.7% | $6.4B |
| FSLR | 75.0 | 17.3 | 26.7% | 30.7% | $24.2B |
| SIMO | 74.7 | 9.2 | 10.2% | 13.8% | $4.5B |
| ADI | 74.3 | 74.1 | 16.9% | 20.6% | $165.1B |
| AAPL | 72.5 | 33.1 | 6.4% | 27.0% | $3.9T |
| OLED | 72.5 | 27.0 | 12.4% | 34.3% | $5.9B |
| AMAT | 72.3 | 36.4 | 4.4% | 24.7% | $281.7B |
| Sector Average | 47.4 | 87.8 | 14.8% | -110.0% | โ |
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.
Stock is in a downtrend below the 200-day moving average. Price is below both the 50-day and 200-day SMAs, indicating sustained selling pressure.
| Metric | Q4 2025 | Q3 2025 | Q2 2025 | Q1 2025 |
|---|---|---|---|---|
| Revenue | $1.4B | $1.2B | $1.0B | $884M |
| Gross Profit | $1.2B | $974M | $811M | $711M |
| Operating Income | $575M | $393M | $269M | $176M |
| Net Income | $609M | $476M | $327M | $214M |
| EPS (Diluted) | $0.24 | $0.19 | $0.13 | $0.08 |
| Gross Margin | 84.6% | 82.4% | 80.8% | 80.4% |
| Operating Margin | 40.9% | 33.3% | 26.8% | 19.9% |
| Net Margin | 43.3% | 40.3% | 32.6% | 24.2% |
| Year | Low | High | Range | Status |
|---|---|---|---|---|
| 2021 | $17.06 | $29.29 | 52.8% | Wide |
| 2022 | $5.92 | $18.84 | 104.4% | Wide |
| 2023 | $5.84 | $21.85 | 115.6% | Wide |
| 2024 | $15.66 | $84.80 | 137.6% | Wide |
| 2025 | $63.40 | $207.52 | 106.4% | Wide |
Growth estimates have been dampened based on technical and fundamental signals. This is a post-hoc adjustment to prevent overly optimistic projections for stocks showing declining momentum or deteriorating fundamentals.
Scores are generated by a multi-stage ML pipeline combining fundamental analysis, ensemble predictions, and structural risk signals. All data is for research purposes only and does not constitute financial advice. Past performance does not guarantee future results.