Compare CCEP & CBRS Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
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| Metric | CCEP | CBRS |
|---|---|---|
| Founded | 1986 | 2016 |
| Country | United Kingdom | United States |
| Employees | 41000 | N/A |
| Industry | Beverages (Production/Distribution) | Semiconductors |
| Sector | Consumer Staples | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 44.4B | 52.3B |
| IPO Year | 2015 | 2024 |
| Metric | CCEP | CBRS |
|---|---|---|
| Price | $100.71 | $169.03 |
| Analyst Decision | Buy | Strong Buy |
| Analyst Count | 13 | 11 |
| Target Price | $109.20 | ★ $291.64 |
| AVG Volume (30 Days) | 1.4M | ★ 4.7M |
| Earning Date | 08-04-2026 | 11-19-2026 |
| Dividend Yield | ★ 2.35% | N/A |
| EPS Growth | N/A | N/A |
| EPS | ★ N/A | N/A |
| Revenue | N/A | N/A |
| Revenue This Year | $3.29 | $73.94 |
| Revenue Next Year | $3.86 | $232.73 |
| P/E Ratio | $20.93 | ★ N/A |
| Revenue Growth | N/A | N/A |
| 52 Week Low | $84.66 | $160.81 |
| 52 Week High | $113.67 | $265.63 |
| Indicator | CCEP | CBRS |
|---|---|---|
| Relative Strength Index (RSI) | 41.59 | 42.70 |
| Support Level | $99.00 | $170.13 |
| Resistance Level | $109.54 | $225.40 |
| Average True Range (ATR) | 1.74 | 9.23 |
| MACD | 0.05 | -0.93 |
| Stochastic Oscillator | 27.58 | 10.08 |
CCEP is the second-largest bottling partner in the Coca-Cola system by volume, behind Coca-Cola Femsa, and primarily operates in developed Europe, Australasia, and Southeast Asia. In 2025, CCEP sold 3.9 billion unit cases of beverages, which we estimate equates to roughly 9% of the global Coke system volume.TCCC owns 19% of the equity of CCEP, Olive Partners, a holding company of bottling operations, owns a further 36%, and the remaining 45% is free float.
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.