-
1 Comment
Cryosite Limited is currently in a long term uptrend where the price is trading 23.5% above its 200 day moving average.
From a valuation standpoint, the stock is 99.6% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 1.1.
Cryosite Limited's total revenue rose by 18.5% to $5M since the same quarter in the previous year.
Its net income has dropped by 77.2% to $285K since the same quarter in the previous year.
Finally, its free cash flow fell by 92.0% to $43K since the same quarter in the previous year.
Based on the above factors, Cryosite Limited gets an overall score of 3/5.
| Exchange | AU |
|---|---|
| CurrencyCode | AUD |
| Sector | Healthcare |
| Industry | Diagnostics & Research |
| ISIN | AU000000CTE1 |
| Dividend Yield | 10.% |
|---|---|
| Beta | 0.66 |
| Target Price | None |
| Market Cap | 38M |
| PE Ratio | 19.5 |
Cryosite Limited provides outsourced clinical trials logistic services in Australia. It operates through two segments: Clinical Trials and Biological Services Logistics, and Cord Blood and Tissues Storage. The Clinical Trials and Biological Services Logistics segment offers specialist temperature-controlled storage, sourcing, labelling, status management, secondary packaging, schedule drug distribution, destruction, returns, biological, and cell gene therapies depot services. The Cord Blood and Tissues Storage segment provides long term storage solutions for cord blood and tissue samples. The company serves research, medical, pharmaceutical, and biotechnology industries. Cryosite Limited was incorporated in 1999 and is based in South Granville, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for CTE.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
