Compare VST & CBRS Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
| Metric | VST | CBRS |
|---|---|---|
| Founded | 1882 | 2016 |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Electric Utilities: Central | Semiconductors |
| Sector | Utilities | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 47.0B | 39.0B |
| IPO Year | 2016 | 2024 |
| Metric | VST | CBRS |
|---|---|---|
| Price | $137.23 | $107.39 |
| Analyst Decision | Strong Buy | Strong Buy |
| Analyst Count | 23 | 11 |
| Target Price | $206.86 | ★ $282.55 |
| AVG Volume (30 Days) | 6.6M | ★ 9.2M |
| Earning Date | 11-06-2026 | 11-12-2026 |
| Dividend Yield | ★ 0.65% | N/A |
| EPS Growth | N/A | ★ N/A |
| EPS | ★ 3.64 | N/A |
| Revenue | ★ $17,738,000,000.00 | N/A |
| Revenue This Year | $23.43 | $73.94 |
| Revenue Next Year | $6.52 | $232.73 |
| P/E Ratio | $38.68 | ★ N/A |
| Revenue Growth | ★ 2.98 | N/A |
| 52 Week Low | $132.66 | $105.36 |
| 52 Week High | $196.80 | $265.63 |
| Indicator | VST | CBRS |
|---|---|---|
| Relative Strength Index (RSI) | 40.87 | 30.26 |
| Support Level | $136.42 | N/A |
| Resistance Level | $169.76 | $218.25 |
| Average True Range (ATR) | 7.00 | 8.89 |
| MACD | -1.79 | -0.60 |
| Stochastic Oscillator | 3.67 | 5.61 |
Vistra Corp. is one of the largest power producers and retail energy providers in the US. It owns 44 gigawatts of generation capacity, including natural gas (27 GW), nuclear (6.5 GW), coal (8.7 GW), and solar and battery storage (1.3 GW). The Cogentrix acquisition will add 5.5 GW of gas generation. Vistra's retail electricity business serves 5 million customers in 20 states, including almost a third of all Texas electricity consumers. Vistra emerged from the Energy Future Holdings bankruptcy as a stand-alone entity in 2016.
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.