-
1 Comment
Resverlogix Corp is currently in a long term downtrend where the price is trading 14.2% below 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.
Resverlogix Corp's total revenue sank by nan% to $0 since the same quarter in the previous year.
Its net income has dropped by 103.4% to $-3M since the same quarter in the previous year.
Finally, its free cash flow grew by 60.5% to $-2M since the same quarter in the previous year.
Based on the above factors, Resverlogix Corp gets an overall score of 2/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
Sector | Healthcare |
Industry | Biotechnology |
ISIN | CA76128M1086 |
Beta | 0.53 |
---|---|
Market Cap | 6M |
PE Ratio | None |
Target Price | None |
Dividend Yield | None |
Resverlogix Corp., a late-stage clinical biotechnology company, develops therapeutics for patients with chronic illnesses. The company's lead drug is apabetalone (RVX-208), a small molecule selective bromodomain and extra-terminal inhibitor for patients with cardiovascular disease, chronic kidney disease, type 2 diabetes mellitus, low high-density lipoprotein cholesterol, recent acute coronary syndrome, and post COVID-19 conditions. It has a partnership with Eversana Life Science Services, LLC to support the commercialization of apabetalone for COVID-19 in the United States and Canada; and developing cardiovascular and pulmonary arterial hypertension indications. The company is headquartered in Calgary, Canada.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for RFS.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