-
1 Comment
Histogen Inc is currently in a long term downtrend where the price is trading 24.7% 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 5.6.
Histogen Inc's total revenue sank by 69.4% to $478K since the same quarter in the previous year.
Its net income has dropped by 51.9% to $-4M since the same quarter in the previous year.
Finally, its free cash flow fell by 141.6% to $-4M since the same quarter in the previous year.
Based on the above factors, Histogen Inc gets an overall score of 1/5.
ISIN | None |
---|---|
Sector | Healthcare |
Industry | Biotechnology |
Exchange | F |
CurrencyCode | EUR |
Target Price | 2.7 |
---|---|
PE Ratio | None |
Dividend Yield | 0.0% |
Market Cap | 289K |
Beta | -0.17 |
Histogen Inc., a clinical-stage therapeutics company, focuses on developing proprietary hypoxia-generated growth factor technology platform and stem cell-free biologic products. It offers HST-003, a human extracellular matrix, which is in Phase 1/2 clinical trial to treat articular cartilage defects in the knee; HST-004, a cell conditioned media solution to treat spinal disc repair; and Emricasan, an orally active pan-caspase inhibitor for the treatment of COVID-19. The company's preclinical product candidates include CTS-2090 and CTS-2096, which are selective caspase-1 inhibitors targeting inflammasome activation, as well as intervenes in a various inflammation mediated disease. Histogen Inc. was founded in 2007 and is headquartered in San Diego, California.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for CPH1.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