Compare NDAQ & CBRS Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
| Metric | NDAQ | CBRS |
|---|---|---|
| Founded | 1971 | N/A |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Investment Bankers/Brokers/Service | Semiconductors |
| Sector | Finance | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 49.1B | 40.5B |
| IPO Year | 2001 | 2026 |
| Metric | NDAQ | CBRS |
|---|---|---|
| Price | $84.68 | $194.70 |
| Analyst Decision | Strong Buy | |
| Analyst Count | 13 | 0 |
| Target Price | ★ $105.62 | N/A |
| AVG Volume (30 Days) | 4.6M | ★ 9.8M |
| Earning Date | 04-23-2026 | N/A |
| Dividend Yield | ★ 1.36% | N/A |
| EPS Growth | ★ 60.10 | N/A |
| EPS | ★ 0.91 | N/A |
| Revenue | ★ $4,277,000,000.00 | N/A |
| Revenue This Year | $10.52 | N/A |
| Revenue Next Year | $8.17 | N/A |
| P/E Ratio | $93.03 | ★ N/A |
| Revenue Growth | ★ 7.87 | N/A |
| 52 Week Low | $76.55 | $160.81 |
| 52 Week High | $101.79 | $241.68 |
| Indicator | NDAQ | CBRS |
|---|---|---|
| Relative Strength Index (RSI) | 50.55 | 39.67 |
| Support Level | $79.79 | $160.81 |
| Resistance Level | $91.66 | $228.30 |
| Average True Range (ATR) | 3.07 | 23.60 |
| MACD | 0.26 | -0.81 |
| Stochastic Oscillator | 50.99 | 42.78 |
Founded in 1971, Nasdaq is primarily known for its equity exchange, but in addition to its trading business (about 22.5% of sales), the company sells market and financial data to investors, offers Nasdaq-branded indexes, and lists companies through its capital access segment (42.5%). Nasdaq's newest segment, financial technology, was primarily constructed through the acquisitions of Verafin and Adenza and has expanded the company into capital management, financial crime, and regulatory compliance software (35%) as it seeks to become a diversified technology company.
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.