-
1 Comment
Aleafia Health Inc is currently in a long term downtrend where the price is trading 29.3% below its 200 day moving average.
From a valuation standpoint, the stock is 99.7% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 3.6.
Aleafia Health Inc's total revenue rose by 152.2% to $15M since the same quarter in the previous year.
Its net income has dropped by 2126.7% to $-217M since the same quarter in the previous year.
Finally, its free cash flow fell by 57.0% to $-7M since the same quarter in the previous year.
Based on the above factors, Aleafia Health Inc gets an overall score of 2/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | CA01444Q1046 |
Sector | Healthcare |
Industry | Drug Manufacturers - Specialty & Generic |
Beta | 1.74 |
---|---|
Market Cap | 5M |
PE Ratio | None |
Target Price | None |
Dividend Yield | 0.0% |
Aleafia Health Inc., together with its subsidiaries, operates as cannabis health and wellness company in Canada, Europe, and Australia. The company owns and operates a virtual network of medical cannabis clinics staffed through physicians and nurse practitioners. Its product portfolio includes cannabis oils, capsules, edibles, cannabis-infused sublingual strips, pre-roll, milled, and vape cartridges; bath bombs and soft gels; hang dried, hand trimmed, long cured, and small batch dried flower; and concentrates. It offers its products under the Divvy, Sunday Market, Bogart's Kitchen, Noon & Night, Nith & Grand, Kin Slips, and Emblem brands. Aleafia Health Inc. is headquartered in Concord, Canada.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for ARAH.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