-
1 Comment
Paragon Care Limited is currently in a long term uptrend where the price is trading 18.0% above its 200 day moving average.
From a valuation standpoint, the stock is 100.0% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 0.3.
Paragon Care Limited's total revenue sank by 0.0% to $60M since the same quarter in the previous year.
Its net income has dropped by 0.0% to $700K since the same quarter in the previous year.
Finally, its free cash flow grew by 254.7% to $8M since the same quarter in the previous year.
Based on the above factors, Paragon Care Limited gets an overall score of 3/5.
| Exchange | F |
|---|---|
| CurrencyCode | EUR |
| ISIN | AU000000PGC4 |
| Sector | Healthcare |
| Industry | Medical Distribution |
| Market Cap | 415M |
|---|---|
| PE Ratio | 23.6 |
| Target Price | None |
| Beta | 1.42 |
| Dividend Yield | None |
Paragon Care Limited distributes medical equipment, devices, and consumable products in Australia, New Zealand, and Asia. It operates through two segments: ParagonCare and CH2. The company offers its for aesthetics, controlle, critical care, diagnostic and scientific, eye care, medical products and consumables, neonatal, orthopaedics service, surgical, technology & connectivity, urology, and veterinary products. It also involved in maintenance of technical medical equipment to the health, aged care, and veterinary markets; and distribution of pharmaceuticals, medical consumables, and complementary medicines to Australian healthcare market. Paragon Care Limited is based in Mount Waverley, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for PXS.F 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
