-
1 Comment
Oneview Healthcare PLC is currently in a long term uptrend where the price is trading 99.1% above its 200 day moving average.
From a valuation standpoint, the stock is 97.7% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 5.9.
Oneview Healthcare PLC's total revenue rose by 100.2% to $7M since the same quarter in the previous year.
Its net income has dropped by 14.3% to $-9M since the same quarter in the previous year.
Finally, its free cash flow grew by 67.8% to $-1M since the same quarter in the previous year.
Based on the above factors, Oneview Healthcare PLC gets an overall score of 4/5.
Exchange | AU |
---|---|
CurrencyCode | AUD |
ISIN | AU000000ONE9 |
Sector | Healthcare |
Industry | Health Information Services |
Beta | 1.1 |
---|---|
Target Price | 0.4747 |
Market Cap | 241M |
PE Ratio | None |
Dividend Yield | None |
Oneview Healthcare PLC develops and sells software services for the healthcare sector in Ireland, the United States, Australia, Ireland, the Middle East, and Asia. The company provides patient experience, care team experience, and health system and hospital solutions; and system integrations for HER/EMP/PAS, virtual care, interpretations, middleware, clinical communications, dietary, IoT: RTLS and building automation, patient education and portals, entertainment and gaming, calming and distraction, and consumer streaming and social. It offers secure software development lifecycle, data classification, and third-party penetration testing. The company was founded in 2008 and is based in Dublin, Ireland.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for ONE.AU 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