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AMZN vs NVDA Comparison
Compare AMZN & NVDA Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
Current Price
Company Overview
Basic Information| Metric | AMZN | NVDA |
|---|---|---|
| Founded | 1994 | 1993 |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Catalog/Specialty Distribution | Semiconductors |
| Sector | Consumer Discretionary | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 2.6T | 4.9T |
| IPO Year | 1997 | 1998 |
Fundamental Metrics
Financial Performance| Metric | AMZN | NVDA |
|---|---|---|
| Price | $274.34 | $222.85 |
| Analyst Decision | Strong Buy | Strong Buy |
| Analyst Count | 42 | 38 |
| Target Price | ★ $285.88 | $266.24 |
| AVG Volume (30 Days) | 40.4M | ★ 111.8M |
| Earning Date | 04-29-2026 | 05-20-2026 |
| Dividend Yield | N/A | ★ 0.02% |
| EPS Growth | 29.66 | ★ 66.67 |
| EPS | ★ 8.53 | 2.39 |
| Revenue | ★ $716,924,000,000.00 | $215,938,000,000.00 |
| Revenue This Year | $14.63 | $73.22 |
| Revenue Next Year | $11.81 | $31.16 |
| P/E Ratio | ★ $31.94 | $91.63 |
| Revenue Growth | 12.38 | ★ 65.47 |
| 52 Week Low | $196.00 | $164.07 |
| 52 Week High | $287.20 | $236.54 |
Technical Indicators
Market Signals| Indicator | AMZN | NVDA |
|---|---|---|
| Relative Strength Index (RSI) | 63.40 | 61.27 |
| Support Level | $222.85 | $194.35 |
| Resistance Level | $276.66 | $234.41 |
| Average True Range (ATR) | 7.11 | 7.08 |
| MACD | 4.34 | 1.97 |
| Stochastic Oscillator | 76.81 | 86.27 |
Price Performance
Historical ComparisonAbout AMZN Amazon.com Inc.
Amazon is the leading online retailer and marketplace for third party sellers. Retail related revenue represents approximately 74% of total, followed by Amazon Web Services (17%), and advertising services (9%). International segments constitute 22% of Amazon's total revenue, led by Germany, the United Kingdom, and Japan.
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.