-
1 Comment
EXMceuticals Inc is currently in a long term uptrend where the price is trading 4.0% 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 0.0.
EXMceuticals Inc's total revenue sank by nan% to $0 since the same quarter in the previous year.
Its net income has dropped by 7.2% to $-2M since the same quarter in the previous year.
Finally, its free cash flow grew by 71.8% to $-368K since the same quarter in the previous year.
Based on the above factors, EXMceuticals Inc gets an overall score of 3/5.
ISIN | CA30207T1049 |
---|---|
Sector | Healthcare |
Industry | Drug Manufacturers - Specialty & Generic |
Exchange | F |
CurrencyCode | EUR |
Market Cap | 10M |
---|---|
PE Ratio | 0.32 |
Target Price | None |
Beta | 1.52 |
Dividend Yield | None |
EXMceuticals Inc. engages in the production of cannabinoid formulations. The company primarily focuses around the matching of natural bioactive ingredients extracted from the cannabis plant with the needs of the nutraceutical, cosmeceutical, therapeutic, and pharmaceutical industries. It focuses on the production of CBD, a non-psychoactive cannabinoid that has been proven effective against acne, anxiety, depression, epilepsy, and degenerative diseases, such as Parkinson's; and THC, a psychoactive cannabinoid ingredient that has been proven effective in the fields of pain management, appetite control, anxiety, and managing side effects of chemotherapy. The company was incorporated in 2008 and is headquartered in Quebec, Canada.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 9OM1.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