Compare META & NVDA Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
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| Metric | META | NVDA |
|---|---|---|
| Founded | 2004 | 1993 |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Computer Software: Programming Data Processing | Semiconductors |
| Sector | Technology | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 1.8T | 4.6T |
| IPO Year | 2012 | 1999 |
| Metric | META | NVDA |
|---|---|---|
| Price | $644.62 | $177.08 |
| Analyst Decision | Strong Buy | Strong Buy |
| Analyst Count | 45 | 39 |
| Target Price | ★ $820.91 | $248.26 |
| AVG Volume (30 Days) | 23.7M | ★ 216.1M |
| Earning Date | 10-29-2025 | 11-19-2025 |
| Dividend Yield | ★ 0.32% | 0.02% |
| EPS Growth | 6.88 | ★ 59.73 |
| EPS | ★ 22.63 | 4.04 |
| Revenue | ★ $189,458,000,000.00 | $187,142,000,000.00 |
| Revenue This Year | $22.94 | $61.70 |
| Revenue Next Year | $17.43 | $36.98 |
| P/E Ratio | ★ $28.63 | $43.81 |
| Revenue Growth | 21.27 | ★ 65.22 |
| 52 Week Low | $479.80 | $86.62 |
| 52 Week High | $796.25 | $212.19 |
| Indicator | META | NVDA |
|---|---|---|
| Relative Strength Index (RSI) | 50.70 | 40.54 |
| Support Level | $581.86 | $169.55 |
| Resistance Level | $606.72 | $182.91 |
| Average True Range (ATR) | 15.74 | 7.02 |
| MACD | 7.59 | -1.71 |
| Stochastic Oscillator | 98.29 | 24.25 |
Meta is the largest social media company in the world, boasting close to 4 billion monthly active users worldwide. The firm's "Family of Apps," its core business, consists of Facebook, Instagram, Messenger, and WhatsApp. End users can leverage these applications for a variety of different purposes, from keeping in touch with friends to following celebrities and running digital businesses for free. Meta packages customer data, gleaned from its application ecosystem and sells ads to digital advertisers. While the firm has been investing heavily in its Reality Labs business, it remains a very small part of Meta's overall 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.