Compare JPM & NVDA Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
| Metric | JPM | NVDA |
|---|---|---|
| Founded | 1799 | 1993 |
| Country | United States | United States |
| Employees | 320079 | N/A |
| Industry | Major Banks | Semiconductors |
| Sector | Finance | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 900.8B | 4.9T |
| IPO Year | N/A | 1998 |
| Metric | JPM | NVDA |
|---|---|---|
| Price | $359.16 | $217.94 |
| Analyst Decision | Buy | Strong Buy |
| Analyst Count | 15 | 38 |
| Target Price | ★ $331.93 | $266.24 |
| AVG Volume (30 Days) | 7.2M | ★ 110.9M |
| Earning Date | 04-14-2026 | 05-20-2026 |
| Dividend Yield | ★ 1.94% | 0.02% |
| EPS Growth | N/A | ★ 66.67 |
| EPS | N/A | ★ 2.39 |
| Revenue | N/A | ★ $215,938,000,000.00 |
| Revenue This Year | $18.51 | $73.22 |
| Revenue Next Year | $4.11 | $31.16 |
| P/E Ratio | ★ $15.42 | $93.66 |
| Revenue Growth | N/A | ★ 65.47 |
| 52 Week Low | $279.10 | $164.07 |
| 52 Week High | $363.00 | $236.54 |
| Indicator | JPM | NVDA |
|---|---|---|
| Relative Strength Index (RSI) | 64.49 | 58.38 |
| Support Level | $323.83 | $194.35 |
| Resistance Level | N/A | $234.41 |
| Average True Range (ATR) | 6.20 | 7.18 |
| MACD | -0.11 | 2.32 |
| Stochastic Oscillator | 80.02 | 80.44 |
JPMorgan is a leading global financial services firm with operations in 66 countries and over 318,000 employees as of year-end 2025. Under the JPMorgan brands, the bank holding company boasts a $4.9 trillion balance sheet and $2.68 trillion in deposits, as of March 2026. The firm generates its revenue across three core operating segments: consumer and community banking, the commercial and investment bank, and asset and wealth management. It maintains the top global ranking in investment banking fees with an 8.4% market share, serves millions of consumers through its network of over 5,000 US branches, and manages over $7.1 trillion in client assets within its wealth and asset management franchise.
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.