-
1 Comment
Homology Medicines, Inc is currently in a long term downtrend where the price is trading 32.3% below its 200 day moving average.
From a valuation standpoint, the stock is 87.8% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 163.8.
Homology Medicines, Inc's total revenue rose by 74.1% to $980K since the same quarter in the previous year.
Its net income has dropped by 23.3% to $-30M since the same quarter in the previous year.
Finally, its free cash flow grew by 58.2% to $-13M since the same quarter in the previous year.
Based on the above factors, Homology Medicines, Inc gets an overall score of 3/5.
ISIN | US4380831077 |
---|---|
Exchange | NASDAQ |
CurrencyCode | USD |
Sector | Healthcare |
Industry | Biotechnology |
Market Cap | 3M |
---|---|
PE Ratio | None |
Target Price | 1.5 |
Beta | -0.11 |
Dividend Yield | None |
Homology Medicines, Inc., a genetic medicines company, focuses on transforming the lives of patients suffering from rare genetic diseases in the United States. The company offers proprietary platform is designed to utilize its human hematopoietic stem cell derived adeno-associated virus vectors (AAVHSCs) to deliver genetic medicines in vivo either through a nuclease-free gene editing mobility, gene therapy or for various genetic disorders. Its earlier stage product candidates comprising HMI-202, an investigational gene therapy which completed IND-enabling studies for the treatment of metachromatic leukodystrophy; and HMI-104 which completed IND-enabling studies. Homology Medicines, Inc. was incorporated in 2015 and is headquartered in Bedford, Massachusetts.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for FIXX 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