-
1 Comment
PainChek Limited is currently in a long term downtrend where the price is trading 21.4% below its 200 day moving average.
From a valuation standpoint, the stock is 113.0% more expensive than other stocks from the Healthcare sector with a price to sales ratio of 548.4.
PainChek Limited's total revenue sank by 30.9% to $127K since the same quarter in the previous year.
Its net income has increased by 86.3% to $-1M since the same quarter in the previous year.
Finally, its free cash flow fell by 45.0% to $-2M since the same quarter in the previous year.
Based on the above factors, PainChek Limited gets an overall score of 1/5.
Exchange | AU |
---|---|
CurrencyCode | AUD |
ISIN | AU000000PCK6 |
Sector | Healthcare |
Industry | Health Information Services |
Market Cap | 64M |
---|---|
PE Ratio | None |
Target Price | 0.08 |
Beta | 0.44 |
Dividend Yield | None |
PainChek Limited develops and commercialized mobile medical device applications that provides pain assessment for individuals in Australia, the United Kingdom, and internationally. The company offers PainChek, which uses cameras in smartphones and tablets for a facial scan that is analyzed in real time using facial recognition software to indicate the presence of pain. It serves patients suffering with dementia and pre-verbal infants; and the aged care, disability, home care, hospital, and infant sectors. The company was formerly known as ePAT Technologies Ltd and changed its name to PainChek Limited in January 2018. PainChek Limited is based in Sydney, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for PCK.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