-
1 Comment
Regulus Therapeutics Inc is currently in a long term downtrend where the price is trading 32.6% below 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 5.4.
Regulus Therapeutics Inc's total revenue rose by 27677.8% to $5M since the same quarter in the previous year.
Its net income has increased by 73.0% to $-1M since the same quarter in the previous year.
Finally, its free cash flow grew by 163.3% to $3M since the same quarter in the previous year.
Based on the above factors, Regulus Therapeutics Inc gets an overall score of 4/5.
ISIN | None |
---|---|
Exchange | F |
CurrencyCode | EUR |
Sector | Healthcare |
Industry | Biotechnology |
Target Price | 1.38 |
---|---|
Market Cap | 3M |
PE Ratio | None |
Dividend Yield | 0.0% |
Beta | 2.17 |
Regulus Therapeutics Inc., a clinical stage biopharmaceutical company, engages in the discovery and development of drugs that targets microRNAs to treat a range of diseases in the United States. Its product candidates include RG-012, an anti-miR targeting miR-21 that is in Phase II clinical trial for the treatment of Alport syndrome, a life-threatening kidney disease; and RGLS8429, an anti-miR targeting miR-17, which is in Phase 1b clinical study for the treatment of autosomal dominant polycystic kidney disease. The company is also developing a pipeline of preclinical drug products for target organ-selective delivery strategies. Regulus Therapeutics Inc. was incorporated in 2007 and is headquartered in San Diego, California.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 7RG1.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