Compare CBOE & CBRS Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
| Metric | CBOE | CBRS |
|---|---|---|
| Founded | 1973 | 2016 |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Investment Bankers/Brokers/Service | Semiconductors |
| Sector | Finance | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 34.2B | 39.0B |
| IPO Year | 2010 | 2024 |
| Metric | CBOE | CBRS |
|---|---|---|
| Price | $333.74 | $107.39 |
| Analyst Decision | Hold | Strong Buy |
| Analyst Count | 18 | 11 |
| Target Price | ★ $331.40 | $282.55 |
| AVG Volume (30 Days) | 1.2M | ★ 9.2M |
| Earning Date | 10-30-2026 | 11-12-2026 |
| Dividend Yield | ★ 1.09% | N/A |
| EPS Growth | ★ 44.52 | N/A |
| EPS | ★ 7.01 | N/A |
| Revenue | ★ $2,229,100,000.00 | N/A |
| Revenue This Year | N/A | $73.94 |
| Revenue Next Year | $3.22 | $232.73 |
| P/E Ratio | $44.67 | ★ N/A |
| Revenue Growth | ★ 239.31 | N/A |
| 52 Week Low | $227.15 | $105.36 |
| 52 Week High | $371.18 | $265.63 |
| Indicator | CBOE | CBRS |
|---|---|---|
| Relative Strength Index (RSI) | 63.83 | 30.26 |
| Support Level | $273.63 | N/A |
| Resistance Level | $371.18 | $218.25 |
| Average True Range (ATR) | 11.27 | 8.89 |
| MACD | 1.35 | -0.60 |
| Stochastic Oscillator | 86.25 | 5.61 |
Founded in 1973, Cboe controls the largest option exchange in the US, which provides around 60% of the firm's revenue. The company is best known for its proprietary S&P 500 and VIX index options, which it offers through an exclusive contract with S&P Global. The firm moved into US and European equities through the $3.4 billion acquisition of BATS in 2017. Cboe has continued to look to expand internationally, using acquisitions to build a presence in both Canada and Australia.
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.