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WELL vs NVDA Comparison
Compare WELL & NVDA Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
Current Price
Company Overview
Basic Information| Metric | WELL | NVDA |
|---|---|---|
| Founded | 1970 | 1993 |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Real Estate Investment Trusts | Semiconductors |
| Sector | Real Estate | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 170.7B | 4.9T |
| IPO Year | 1994 | 1998 |
Fundamental Metrics
Financial Performance| Metric | WELL | NVDA |
|---|---|---|
| Price | $241.73 | $210.30 |
| Analyst Decision | Buy | Strong Buy |
| Analyst Count | 13 | 38 |
| Target Price | $224.38 | ★ $266.24 |
| AVG Volume (30 Days) | 2.4M | ★ 103.8M |
| Earning Date | 04-28-2026 | 05-20-2026 |
| Dividend Yield | ★ 1.40% | 0.02% |
| EPS Growth | N/A | ★ 66.67 |
| EPS | 1.02 | ★ 2.39 |
| Revenue | $10,838,034,000.00 | ★ $215,938,000,000.00 |
| Revenue This Year | $28.56 | $73.22 |
| Revenue Next Year | $6.97 | $31.16 |
| P/E Ratio | $236.44 | ★ $89.11 |
| Revenue Growth | 35.63 | ★ 65.47 |
| 52 Week Low | $163.75 | $164.07 |
| 52 Week High | $255.20 | $236.54 |
Technical Indicators
Market Signals| Indicator | WELL | NVDA |
|---|---|---|
| Relative Strength Index (RSI) | 60.42 | 48.21 |
| Support Level | $226.67 | $208.78 |
| Resistance Level | $255.20 | $214.98 |
| Average True Range (ATR) | 4.11 | 4.66 |
| MACD | 0.55 | -1.40 |
| Stochastic Oscillator | 96.80 | 21.53 |
Price Performance
Historical ComparisonAbout WELL Welltower Inc.
Welltower owns a diversified healthcare portfolio of 2,800 in-place properties spread across the senior housing, medical office, and skilled nursing/postacute care sectors. The portfolio includes over 900 properties in Canada and the United Kingdom as the company looks for additional investment opportunities in countries with mature healthcare systems that operate similarly to that of the United States.
About NVDA NVIDIA Corporation
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.