Compare MET & CBRS Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
| Metric | MET | CBRS |
|---|---|---|
| Founded | 1863 | N/A |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Life Insurance | Semiconductors |
| Sector | Finance | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 61.0B | 52.3B |
| IPO Year | 1999 | 2024 |
| Metric | MET | CBRS |
|---|---|---|
| Price | $98.79 | $190.34 |
| Analyst Decision | Strong Buy | |
| Analyst Count | 15 | 0 |
| Target Price | ★ $93.93 | N/A |
| AVG Volume (30 Days) | 2.6M | ★ 7.1M |
| Earning Date | 05-06-2026 | N/A |
| Dividend Yield | ★ 2.88% | N/A |
| EPS Growth | N/A | ★ N/A |
| EPS | ★ 2.83 | N/A |
| Revenue | ★ $77,084,000,000.00 | N/A |
| Revenue This Year | $4.40 | N/A |
| Revenue Next Year | $4.51 | N/A |
| P/E Ratio | $34.79 | ★ N/A |
| Revenue Growth | ★ 8.59 | N/A |
| 52 Week Low | $67.33 | $160.81 |
| 52 Week High | $100.93 | $265.63 |
| Indicator | MET | CBRS |
|---|---|---|
| Relative Strength Index (RSI) | 60.50 | 45.57 |
| Support Level | $93.64 | $166.31 |
| Resistance Level | $100.93 | $225.25 |
| Average True Range (ATR) | 1.73 | 13.70 |
| MACD | -0.09 | -2.95 |
| Stochastic Oscillator | 91.42 | 20.87 |
MetLife is one of the largest life insurers in the US by assets and provides a variety of life insurance and annuity products. It is organized into six segments: Group Benefits, Retirement and Income Solutions, Asia, Latin America, Europe/Middle East/Africa (EMEA), and MetLife Holdings (products in run-off). Group Benefits and RIS are US-based, contributing to around 48% of the firm's 2024 adjusted earnings. The Asia segment contributes around 25% of earnings, mainly tied to Japan. The company also holds leading market positions in Mexico and Chile, with the Latin America segment contributing around 13% of 2024 earnings. The EMEA and MetLife Holdings segments contributed around 4% and 10% of 2024 earnings, respectively.
Cerebras Systems Inc is an AI company. It designs the world's fastest AI infrastructure for training and inference. The company builds the world's largest semiconductor as well as the AI systems to power, cool, and feed the processors data. It develops software to link these systems together into industry-leading supercomputers that are simple to use even for the most complicated AI work, using familiar ML frameworks like PyTorch. Customers use its supercomputers to train industry-leading models. The company uses these supercomputers to run inference at speeds unobtainable from alternative commercial technologies. It delivers these AI capabilities to its customers on-premise and via the cloud. The company generates the majority of its revenue from the USA.