Compare HLN & CBRS Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
Current Price
| Metric | HLN | CBRS |
|---|---|---|
| Founded | 2022 | N/A |
| Country | United Kingdom | United States |
| Employees | N/A | N/A |
| Industry | Package Goods/Cosmetics | Semiconductors |
| Sector | Consumer Discretionary | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 42.8B | 52.3B |
| IPO Year | 2021 | 2024 |
| Metric | HLN | CBRS |
|---|---|---|
| Price | $10.16 | $184.77 |
| Analyst Decision | Buy | |
| Analyst Count | 1 | 0 |
| Target Price | N/A | N/A |
| AVG Volume (30 Days) | ★ 10.2M | 6.9M |
| Earning Date | 02-26-2026 | N/A |
| Dividend Yield | ★ 1.94% | N/A |
| EPS Growth | N/A | N/A |
| EPS | ★ N/A | N/A |
| Revenue | N/A | N/A |
| Revenue This Year | $6.55 | N/A |
| Revenue Next Year | $4.42 | N/A |
| P/E Ratio | $49.05 | ★ N/A |
| Revenue Growth | N/A | N/A |
| 52 Week Low | $8.65 | $160.81 |
| 52 Week High | $11.28 | $265.63 |
| Indicator | HLN | CBRS |
|---|---|---|
| Relative Strength Index (RSI) | 60.80 | 42.41 |
| Support Level | $9.61 | $166.31 |
| Resistance Level | $10.23 | $229.94 |
| Average True Range (ATR) | 0.14 | 18.16 |
| MACD | 0.00 | -4.54 |
| Stochastic Oscillator | 90.63 | 1.44 |
Haleon is one of the largest consumer health companies in the world. Formed by a combination of consumer health divisions of GSK, Pfizer, and Novartis, Haleon separated from GSK and went public in July 2022. The firm generates 60% of sales from global power brands including Sensodyne, Advil, Centrum, and Poligrip, that play in many geographies and are often leaders in their respective categories. It also has a number of local brands, including Emergen-C, Eno, Tums, and Caltrate, that are more tailored to regional needs and have strong local brand equity. Overall, Haleon's brands tackle a variety of silos within consumer health including oral care, digestive health, pain relief, and nutrition.
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.