Compare EW & CBRS Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
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| Metric | EW | CBRS |
|---|---|---|
| Founded | 1958 | N/A |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Industrial Specialties | Semiconductors |
| Sector | Health Care | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 48.9B | 40.5B |
| IPO Year | 1999 | 2026 |
| Metric | EW | CBRS |
|---|---|---|
| Price | $83.40 | $190.71 |
| Analyst Decision | Buy | |
| Analyst Count | 21 | 0 |
| Target Price | ★ $96.37 | N/A |
| AVG Volume (30 Days) | 4.9M | ★ 5.7M |
| Earning Date | 04-23-2026 | N/A |
| Dividend Yield | N/A | N/A |
| EPS Growth | N/A | ★ N/A |
| EPS | ★ 0.66 | N/A |
| Revenue | ★ $6,067,600,000.00 | N/A |
| Revenue This Year | $13.39 | N/A |
| Revenue Next Year | $9.81 | N/A |
| P/E Ratio | $125.82 | ★ N/A |
| Revenue Growth | ★ 11.55 | N/A |
| 52 Week Low | $72.30 | $160.81 |
| 52 Week High | $96.29 | $244.00 |
| Indicator | EW | CBRS |
|---|---|---|
| Relative Strength Index (RSI) | 35.80 | 44.36 |
| Support Level | $82.02 | $165.51 |
| Resistance Level | $86.49 | $229.59 |
| Average True Range (ATR) | 2.39 | 22.19 |
| MACD | -0.92 | 0.97 |
| Stochastic Oscillator | 17.78 | 33.72 |
Spun off from Baxter International in 2000, Edwards Lifesciences designs, manufactures, and markets a range of medical devices and equipment for advanced stages of structural heart disease. It has established itself as a leader across key products, including surgical tissue heart valves, transcatheter aortic valves, and transcatheter mitral and tricuspid valve technologies. The firm derives about 60% of its total sales from outside the US.
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.