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PYPL vs CBRS Comparison
Compare PYPL & CBRS Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
Current Price
Company Overview
Basic Information| Metric | PYPL | CBRS |
|---|---|---|
| Founded | 1998 | N/A |
| Country | United States | United States |
| Employees | N/A | N/A |
| Industry | Business Services | Semiconductors |
| Sector | Consumer Discretionary | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 39.3B | 40.5B |
| IPO Year | 2015 | 2026 |
Fundamental Metrics
Financial Performance| Metric | PYPL | CBRS |
|---|---|---|
| Price | $46.21 | $214.78 |
| Analyst Decision | Hold | |
| Analyst Count | 30 | 0 |
| Target Price | ★ $61.48 | N/A |
| AVG Volume (30 Days) | ★ 13.8M | 8.0M |
| Earning Date | 05-05-2026 | N/A |
| Dividend Yield | ★ 1.10% | N/A |
| EPS Growth | ★ 35.59 | N/A |
| EPS | ★ 1.21 | N/A |
| Revenue | ★ $33,172,000,000.00 | N/A |
| Revenue This Year | $4.78 | N/A |
| Revenue Next Year | $4.24 | N/A |
| P/E Ratio | $37.43 | ★ N/A |
| Revenue Growth | ★ 4.32 | N/A |
| 52 Week Low | $38.46 | $160.81 |
| 52 Week High | $79.50 | $241.68 |
Technical Indicators
Market Signals| Indicator | PYPL | CBRS |
|---|---|---|
| Relative Strength Index (RSI) | 60.41 | 47.40 |
| Support Level | $43.13 | $173.36 |
| Resistance Level | $48.21 | $228.30 |
| Average True Range (ATR) | 1.28 | 21.81 |
| MACD | 0.41 | -0.06 |
| Stochastic Oscillator | 95.93 | 66.09 |
Price Performance
Historical ComparisonAbout PYPL PayPal Holdings Inc.
PayPal was spun off from eBay in 2015 and provides electronic payment solutions to merchants and consumers, with a focus on online transactions. The company had 439 million active accounts at the end of 2025. The company also owns Venmo, a person-to-person payment platform.
About CBRS Cerebras Systems Inc. Class A Common Stock
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.