Compare GILD & NVDA Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
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| Metric | GILD | NVDA |
|---|---|---|
| Founded | 1987 | 1993 |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Biotechnology: Biological Products (No Diagnostic Substances) | Semiconductors |
| Sector | Health Care | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 187.5B | 4.5T |
| IPO Year | 2000 | 1998 |
| Metric | GILD | NVDA |
|---|---|---|
| Price | $145.95 | $181.84 |
| Analyst Decision | Strong Buy | Strong Buy |
| Analyst Count | 18 | 38 |
| Target Price | $143.50 | ★ $263.29 |
| AVG Volume (30 Days) | 6.3M | ★ 144.9M |
| Earning Date | 05-13-2026 | 01-01-0001 |
| Dividend Yield | ★ 2.28% | 0.02% |
| EPS Growth | ★ 1684.21 | 66.67 |
| EPS | ★ 6.78 | 4.90 |
| Revenue | $24,689,000,000.00 | ★ $215,938,000,000.00 |
| Revenue This Year | $4.68 | $67.04 |
| Revenue Next Year | $6.10 | $29.67 |
| P/E Ratio | ★ $21.23 | $36.38 |
| Revenue Growth | 9.98 | ★ 65.47 |
| 52 Week Low | $95.30 | $86.63 |
| 52 Week High | $157.29 | $212.19 |
| Indicator | GILD | NVDA |
|---|---|---|
| Relative Strength Index (RSI) | 50.89 | 46.85 |
| Support Level | $143.09 | $177.57 |
| Resistance Level | $157.29 | $184.36 |
| Average True Range (ATR) | 3.27 | 5.32 |
| MACD | -1.43 | -0.84 |
| Stochastic Oscillator | 24.02 | 31.38 |
Gilead Sciences develops and markets therapies to treat and prevent life-threatening infectious diseases, with the core of its portfolio focused on HIV and hepatitis B and C. Gilead's acquisition of Pharmasset brought rights to hepatitis C drug Sovaldi, which is also part of newer combination regimens that remain standards of care. Gilead is also growing its presence in the oncology market via acquisitions, led by CAR-T cell therapy Yescarta/Tecartus (from Kite) and breast and bladder cancer therapy Trodelvy (from Immunomedics).
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.