Compare DELL & NVDA Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
Current Price
| Metric | DELL | NVDA |
|---|---|---|
| Founded | 1984 | 1993 |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Computer Manufacturing | Semiconductors |
| Sector | Technology | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 191.7B | 5.1T |
| IPO Year | 2013 | 1998 |
| Metric | DELL | NVDA |
|---|---|---|
| Price | $393.04 | $194.47 |
| Analyst Decision | Buy | Strong Buy |
| Analyst Count | 17 | 38 |
| Target Price | $181.63 | ★ $266.24 |
| AVG Volume (30 Days) | 10.0M | ★ 133.4M |
| Earning Date | 05-28-2026 | 05-20-2026 |
| Dividend Yield | ★ 1.23% | 0.02% |
| EPS Growth | 36.05 | ★ 66.67 |
| EPS | ★ 5.24 | 2.39 |
| Revenue | $113,538,000,000.00 | ★ $215,938,000,000.00 |
| Revenue This Year | $26.19 | $73.22 |
| Revenue Next Year | $8.60 | $31.16 |
| P/E Ratio | ★ $78.02 | $81.76 |
| Revenue Growth | 18.80 | ★ 65.47 |
| 52 Week Low | $110.22 | $151.49 |
| 52 Week High | $469.47 | $236.54 |
| Indicator | DELL | NVDA |
|---|---|---|
| Relative Strength Index (RSI) | 55.53 | 37.33 |
| Support Level | $122.88 | $178.30 |
| Resistance Level | $469.47 | $214.37 |
| Average True Range (ATR) | 28.59 | 5.73 |
| MACD | -6.80 | -1.91 |
| Stochastic Oscillator | 41.32 | 8.01 |
Dell Technologies is a broad information technology vendor, primarily supplying hardware to enterprises. It focuses on premium and commercial personal computers, as well as enterprise on-premises data center hardware. It holds top-three shares in its core markets of personal computers, peripheral displays, mainstream servers, and external storage. Dell has a robust ecosystem of component and assembly partners and also relies heavily on channel partners to fulfill its sales.
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.