Compare WFC & NVDA Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
| Metric | WFC | NVDA |
|---|---|---|
| Founded | 1852 | 1993 |
| Country | United States | United States |
| Employees | 200999 | N/A |
| Industry | Major Banks | Semiconductors |
| Sector | Finance | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 224.7B | 5.1T |
| IPO Year | N/A | 1998 |
| Metric | WFC | NVDA |
|---|---|---|
| Price | $83.49 | $211.82 |
| Analyst Decision | Buy | Strong Buy |
| Analyst Count | 18 | 38 |
| Target Price | $96.59 | ★ $266.24 |
| AVG Volume (30 Days) | 12.0M | ★ 137.8M |
| Earning Date | 04-14-2026 | 05-20-2026 |
| Dividend Yield | ★ 2.21% | 0.02% |
| EPS Growth | N/A | ★ 66.67 |
| EPS | N/A | ★ 2.39 |
| Revenue | N/A | ★ $215,938,000,000.00 |
| Revenue This Year | $11.08 | $73.22 |
| Revenue Next Year | $4.76 | $31.16 |
| P/E Ratio | ★ $14.15 | $88.77 |
| Revenue Growth | N/A | ★ 65.47 |
| 52 Week Low | $72.59 | $142.03 |
| 52 Week High | $97.76 | $236.54 |
| Indicator | WFC | NVDA |
|---|---|---|
| Relative Strength Index (RSI) | 64.60 | 50.83 |
| Support Level | $78.04 | $208.78 |
| Resistance Level | $87.59 | $214.37 |
| Average True Range (ATR) | 1.84 | 7.30 |
| MACD | 0.70 | -1.73 |
| Stochastic Oscillator | 84.26 | 38.13 |
Wells Fargo is a premier, North American-focused banking titan that commands a $2.2 trillion balance sheet and the third-highest deposit market share in the United States. The bank uses a dense, expansive network of 4,093 branches to champion retail consumers and the middle market, where the firm has built a particularly strong reputation. Following the removal of its federal asset cap in 2025, the firm is set to deploy its legacy excess liquidity to expand each of its four segments: consumer & business lending, commercial banking, corporate & investment banking, and wealth & investment management.
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.