-
1 Comment
From a valuation standpoint, the stock is 99.8% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 2.3.
Based on the above factors, Ortho Clinical Diagnostics Holdings plc gets an overall score of 1/5.
ISIN | GB00BMDNH979 |
---|---|
Exchange | NASDAQ |
CurrencyCode | USD |
Sector | Healthcare |
Industry | Health Care Equipment & Supplies |
Dividend Yield | 0.0% |
---|---|
Beta | nan |
Market Cap | 4B |
PE Ratio | None |
Target Price | 20.96 |
Ortho Clinical Diagnostics Holdings plc provides in-vitro diagnostics solutions to the clinical laboratory and transfusion medicine communities worldwide. The company offers automated instruments; and assays, reagents, and other consumables that are used by these instruments to generate test results. Its solutions include clinical chemistry and immunoassay instruments and tests to detect and monitor disease progression across a spectrum of therapeutic areas, including COVID-19 antibody and antigen tests; and immunohematology instruments and tests for blood typing to ensure patient-donor compatibility in blood transfusions, as well as donor screening instruments and tests for blood and plasma screening for infectious diseases. The company is also involved in the provision of contract manufacturing and orthocare services. Its products are used in hospitals, laboratories, clinics, blood banks, and donor centers. Ortho Clinical Diagnostics Holdings plc was founded in 1939 and is headquartered in Raritan, New Jersey. As of May 27, 2022, Ortho Clinical Diagnostics Holdings plc operates as a subsidiary of Quidel Corporation.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for OCDX using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025