Compare UNH & NVDA Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
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| Metric | UNH | NVDA |
|---|---|---|
| Founded | 1977 | 1993 |
| Country | United States | United States |
| Employees | 390000 | N/A |
| Industry | Medical Specialities | Semiconductors |
| Sector | Health Care | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 338.3B | 4.9T |
| IPO Year | 2010 | 1998 |
| Metric | UNH | NVDA |
|---|---|---|
| Price | $373.90 | $229.14 |
| Analyst Decision | Buy | Strong Buy |
| Analyst Count | 26 | 38 |
| Target Price | ★ $384.50 | $266.24 |
| AVG Volume (30 Days) | 4.0M | ★ 110.2M |
| Earning Date | 04-21-2026 | 05-20-2026 |
| Dividend Yield | ★ 2.38% | 0.02% |
| EPS Growth | N/A | ★ 66.67 |
| EPS | ★ 12.94 | 4.85 |
| Revenue | ★ $447,567,000,000.00 | $215,938,000,000.00 |
| Revenue This Year | N/A | $73.22 |
| Revenue Next Year | $3.64 | $31.16 |
| P/E Ratio | ★ $29.18 | $46.86 |
| Revenue Growth | 11.81 | ★ 65.47 |
| 52 Week Low | $255.97 | $164.27 |
| 52 Week High | $461.62 | $236.54 |
| Indicator | UNH | NVDA |
|---|---|---|
| Relative Strength Index (RSI) | 40.87 | 58.74 |
| Support Level | $358.25 | $208.32 |
| Resistance Level | $405.64 | $232.39 |
| Average True Range (ATR) | 9.45 | 4.55 |
| MACD | -0.61 | 0.29 |
| Stochastic Oscillator | 23.20 | 73.42 |
UnitedHealth Group is one of the largest private health insurers and provides medical benefits to about 51 million members globally, including 1 million outside the US as of December 2025. As a leader in employer-sponsored, self-directed, and government-backed insurance plans, UnitedHealth has obtained massive scale in medical insurance. Along with its insurance assets, UnitedHealth's Optum franchises help create a healthcare services colossus that spans everything from pharmaceutical benefits to providing outpatient care and analytics to affiliates and third parties.
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.