Compare PLTR & NVDA Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
Current Price
| Metric | PLTR | NVDA |
|---|---|---|
| Founded | 2003 | 1993 |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Retail: Computer Software & Peripheral Equipment | Semiconductors |
| Sector | Technology | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 324.9B | 4.7T |
| IPO Year | 2020 | 1998 |
| Metric | PLTR | NVDA |
|---|---|---|
| Price | $132.16 | $203.25 |
| Analyst Decision | Buy | Strong Buy |
| Analyst Count | 23 | 38 |
| Target Price | $192.83 | ★ $266.24 |
| AVG Volume (30 Days) | 38.3M | ★ 107.4M |
| Earning Date | 05-04-2026 | 05-20-2026 |
| Dividend Yield | N/A | ★ 0.02% |
| EPS Growth | ★ 231.58 | 66.67 |
| EPS | 0.34 | ★ 2.39 |
| Revenue | $4,475,446,000.00 | ★ $215,938,000,000.00 |
| Revenue This Year | $65.66 | $73.22 |
| Revenue Next Year | $42.35 | $31.16 |
| P/E Ratio | $396.54 | ★ $86.40 |
| Revenue Growth | 56.18 | ★ 65.47 |
| 52 Week Low | $106.37 | $164.07 |
| 52 Week High | $207.46 | $236.54 |
| Indicator | PLTR | NVDA |
|---|---|---|
| Relative Strength Index (RSI) | 52.43 | 48.28 |
| Support Level | $127.13 | $194.63 |
| Resistance Level | $137.50 | $214.24 |
| Average True Range (ATR) | 6.24 | 7.08 |
| MACD | 1.50 | 1.15 |
| Stochastic Oscillator | 71.24 | 55.10 |
Palantir is an artificial intelligence, analytics, and automated decision-making company that leverages data to drive efficiency across its clients' organizations. The firm serves commercial and government clients via its Foundry and Gotham platforms, respectively. Palantir works only with entities in Western-allied nations and reserves the right not to work with anyone that is antithetical to Western values. The company was founded in 2003 and went public in 2020.
Nvidia is a leading developer of graphics processing units. Traditionally, GPUs were used to enhance the experience on computing platforms, most notably in gaming applications on PCs. GPU use cases have since emerged as important semiconductors used in artificial intelligence to run large language models. Nvidia not only offers AI GPUs, but also a software platform, Cuda, used for AI model development and training. Nvidia is also expanding its data center networking solutions, helping to tie GPUs together to handle complex workloads.