Compare CVNA & CBRS Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
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Current Price
| Metric | CVNA | CBRS |
|---|---|---|
| Founded | 2012 | 2016 |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Other Specialty Stores | Semiconductors |
| Sector | Consumer Discretionary | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 46.8B | 52.3B |
| IPO Year | 2017 | 2024 |
| Metric | CVNA | CBRS |
|---|---|---|
| Price | $64.75 | $181.98 |
| Analyst Decision | Buy | Strong Buy |
| Analyst Count | 24 | 11 |
| Target Price | $83.31 | ★ $291.64 |
| AVG Volume (30 Days) | ★ 6.2M | 4.5M |
| Earning Date | 10-28-2026 | 11-19-2026 |
| Dividend Yield | N/A | N/A |
| EPS Growth | ★ 431.45 | N/A |
| EPS | ★ 8.45 | N/A |
| Revenue | ★ $20,322,000,000.00 | N/A |
| Revenue This Year | $42.51 | $73.94 |
| Revenue Next Year | $25.48 | $232.73 |
| P/E Ratio | $7.48 | ★ N/A |
| Revenue Growth | ★ 48.63 | N/A |
| 52 Week Low | $56.12 | $160.81 |
| 52 Week High | $486.89 | $265.63 |
| Indicator | CVNA | CBRS |
|---|---|---|
| Relative Strength Index (RSI) | 44.82 | 44.73 |
| Support Level | $62.23 | $170.13 |
| Resistance Level | $74.58 | $225.40 |
| Average True Range (ATR) | 2.91 | 10.25 |
| MACD | -0.23 | -1.90 |
| Stochastic Oscillator | 46.45 | 31.18 |
Carvana Co is an e-commerce platform for buying and selling used cars. The company derives revenue from used vehicle sales, wholesale vehicle sales and other sales and revenues. The other sales and revenues include sales of loans originated and sold in securitization transactions or to financing partners, commissions received on VSCs and sales of GAP waiver coverage. The foundation of the business is retail vehicle unit sales. This drives the majority of the revenue and allows the company to capture additional revenue streams associated with financing, VSCs, auto insurance and GAP waiver coverage, as well as trade-in vehicles.
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.