Compare MCHP & CBRS Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
Current Price
| Metric | MCHP | CBRS |
|---|---|---|
| Founded | 1989 | N/A |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Semiconductors | Semiconductors |
| Sector | Technology | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 45.7B | 40.5B |
| IPO Year | 2004 | 2026 |
| Metric | MCHP | CBRS |
|---|---|---|
| Price | $85.80 | $185.39 |
| Analyst Decision | Buy | |
| Analyst Count | 22 | 0 |
| Target Price | ★ $85.59 | N/A |
| AVG Volume (30 Days) | ★ 10.6M | 7.3M |
| Earning Date | 05-07-2026 | N/A |
| Dividend Yield | ★ 2.02% | N/A |
| EPS Growth | ★ 2300.00 | N/A |
| EPS | ★ 0.22 | N/A |
| Revenue | ★ $5,349,500,000.00 | N/A |
| Revenue This Year | $8.12 | N/A |
| Revenue Next Year | $22.55 | N/A |
| P/E Ratio | $396.91 | ★ N/A |
| Revenue Growth | ★ 34.38 | N/A |
| 52 Week Low | $48.52 | $160.81 |
| 52 Week High | $105.91 | $241.68 |
| Indicator | MCHP | CBRS |
|---|---|---|
| Relative Strength Index (RSI) | 44.95 | 40.28 |
| Support Level | $83.44 | $167.09 |
| Resistance Level | $102.45 | $222.38 |
| Average True Range (ATR) | 3.85 | 20.49 |
| MACD | -0.38 | -0.13 |
| Stochastic Oscillator | 28.89 | 35.43 |
Microchip Technology became an independent company in 1989 when it was spun off from General Instrument. More than half of revenue comes from MCUs, which are used in a wide array of electronic devices from remote controls to garage door openers to power windows in autos. The company's strength lies in lower-end 8-bit MCUs that are suitable for a wider range of less technologically advanced devices, but the firm has expanded its presence in higher-end MCUs and analog chips as well.
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.