Compare GRMN & CBRS Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
Current Price
| Metric | GRMN | CBRS |
|---|---|---|
| Founded | 1990 | N/A |
| Country | Switzerland | United States |
| Employees | N/A | N/A |
| Industry | Industrial Machinery/Components | Semiconductors |
| Sector | Industrials | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 49.4B | 40.5B |
| IPO Year | 2000 | 2026 |
| Metric | GRMN | CBRS |
|---|---|---|
| Price | $240.03 | $205.00 |
| Analyst Decision | Buy | |
| Analyst Count | 6 | 0 |
| Target Price | ★ $256.40 | N/A |
| AVG Volume (30 Days) | 696.3K | ★ 9.7M |
| Earning Date | 04-29-2026 | N/A |
| Dividend Yield | ★ 1.66% | N/A |
| EPS Growth | ★ 17.67 | N/A |
| EPS | ★ 2.09 | N/A |
| Revenue | ★ $7,245,519,000.00 | N/A |
| Revenue This Year | $12.15 | N/A |
| Revenue Next Year | $8.69 | N/A |
| P/E Ratio | $114.77 | ★ N/A |
| Revenue Growth | ★ 15.06 | N/A |
| 52 Week Low | $186.67 | $160.81 |
| 52 Week High | $273.32 | $241.68 |
| Indicator | GRMN | CBRS |
|---|---|---|
| Relative Strength Index (RSI) | 54.07 | 42.57 |
| Support Level | $227.95 | $160.81 |
| Resistance Level | $243.47 | N/A |
| Average True Range (ATR) | 6.49 | 24.53 |
| MACD | 0.57 | -0.15 |
| Stochastic Oscillator | 52.78 | 54.64 |
Garmin produces GPS-enabled hardware and software for five sectors: fitness, outdoors, automotive, aviation, and marine. Garmin has built a strong reputation for durable, high-precision devices through a vertically integrated design and manufacturing approach. The company's product lines include smartwatches, fitness trackers, communication equipment, and a comprehensive suite of systems for marine and aviation navigation. Garmin operates globally, with its business focused primarily on North America and Europe.
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.