Compare TER & CBRS Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
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| Metric | TER | CBRS |
|---|---|---|
| Founded | 1960 | N/A |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Electrical Products | Semiconductors |
| Sector | Industrials | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 59.4B | 52.3B |
| IPO Year | 1994 | 2024 |
| Metric | TER | CBRS |
|---|---|---|
| Price | $357.03 | $209.60 |
| Analyst Decision | Strong Buy | |
| Analyst Count | 12 | 0 |
| Target Price | ★ $327.75 | N/A |
| AVG Volume (30 Days) | 2.2M | ★ 7.1M |
| Earning Date | 04-28-2026 | N/A |
| Dividend Yield | ★ 0.17% | N/A |
| EPS Growth | ★ 4.52 | N/A |
| EPS | ★ 4.91 | N/A |
| Revenue | ★ $3,190,024,000.00 | N/A |
| Revenue This Year | $32.19 | N/A |
| Revenue Next Year | $18.88 | N/A |
| P/E Ratio | $69.11 | ★ N/A |
| Revenue Growth | ★ 13.13 | N/A |
| 52 Week Low | $110.91 | $160.81 |
| 52 Week High | $487.91 | $265.63 |
| Indicator | TER | CBRS |
|---|---|---|
| Relative Strength Index (RSI) | 40.82 | 46.55 |
| Support Level | $334.31 | $166.31 |
| Resistance Level | $381.09 | $225.25 |
| Average True Range (ATR) | 18.47 | 13.86 |
| MACD | -5.81 | -2.77 |
| Stochastic Oscillator | 11.28 | 23.82 |
Teradyne provides testing equipment, including automated test equipment for semiconductors, system testing for hard disk drives, circuit boards, and electronics systems, and wireless testing for devices. The firm entered the industrial automation market in 2015 and sells collaborative and autonomous robots for factory applications. Teradyne serves numerous end markets and geographies, directly and indirectly, through its products, but its most significant exposure is to semiconductor testing. Teradyne serves vertically integrated, fabless, and foundry chipmakers with its equipment.
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.