Compare XEL & CBRS Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
| Metric | XEL | CBRS |
|---|---|---|
| Founded | 1909 | N/A |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Power Generation | Semiconductors |
| Sector | Utilities | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 49.9B | 52.3B |
| IPO Year | 2003 | 2024 |
| Metric | XEL | CBRS |
|---|---|---|
| Price | $77.44 | $182.21 |
| Analyst Decision | Buy | |
| Analyst Count | 12 | 0 |
| Target Price | ★ $89.00 | N/A |
| AVG Volume (30 Days) | 4.7M | ★ 6.9M |
| Earning Date | 04-30-2026 | N/A |
| Dividend Yield | ★ 2.89% | N/A |
| EPS Growth | N/A | ★ N/A |
| EPS | ★ 1.82 | N/A |
| Revenue | ★ $11,537,000,000.00 | N/A |
| Revenue This Year | $9.77 | N/A |
| Revenue Next Year | $8.32 | N/A |
| P/E Ratio | $42.49 | ★ N/A |
| Revenue Growth | N/A | N/A |
| 52 Week Low | $71.29 | $160.81 |
| 52 Week High | $84.23 | $265.63 |
| Indicator | XEL | CBRS |
|---|---|---|
| Relative Strength Index (RSI) | 43.25 | 43.36 |
| Support Level | $77.00 | $166.31 |
| Resistance Level | $82.05 | $229.94 |
| Average True Range (ATR) | 1.39 | 17.48 |
| MACD | -0.07 | -5.21 |
| Stochastic Oscillator | 27.48 | 6.16 |
Xcel Energy manages utilities serving 3.9 million electric customers and 2.2 million natural gas customers in eight states. Its utilities are Northern States Power, which serves customers in Minnesota, North Dakota, South Dakota, Wisconsin, and Michigan; Public Service Company of Colorado; and Southwestern Public Service Company, which serves customers in Texas and New Mexico. It is one of the largest renewable energy suppliers in the US, with more than half of its electricity sales coming from carbon-free energy.
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.