-
1 Comment
Applied Therapeutics, Inc is currently in a long term downtrend where the price is trading 0.2% 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.
Applied Therapeutics, Inc's total revenue sank by nan% to $0 since the same quarter in the previous year.
Its net income has dropped by 34.3% to $-24M since the same quarter in the previous year.
Finally, its free cash flow fell by 83.4% to $-23M since the same quarter in the previous year.
Based on the above factors, Applied Therapeutics, Inc gets an overall score of 1/5.
Industry | Biotechnology |
---|---|
Sector | Healthcare |
ISIN | US03828A1016 |
CurrencyCode | EUR |
Exchange | F |
Beta | nan |
---|---|
Target Price | None |
PE Ratio | None |
Market Cap | 382M |
Dividend Yield | None |
Applied Therapeutics, Inc., a clinical-stage biopharmaceutical company, develops novel products to target cardiovascular disease, galactosemia, and diabetic complications. Its lead product candidate is AT-007 that has completed phase I/II for the treatment of galactosemia in healthy volunteers and adults, as well as is in pediatric clinical study for the treatment of galactosemia in kids; for treating sorbitol dehydrogenase deficiency; and for the treatment of phosphomannomutase enzyme-CDG. The company also develops AT-001 that is in phase III clinical trials for treating diabetic cardiomyopathy, as well as for the treatment of diabetic peripheral neuropathy. Its preclinical stage products include AT-003 for the treatment diabetic retinopathy; AT-104, a PI3K inhibitor for treating orphan hematological oncology T Cell Acute Lymphoblastic Leukemia. Applied Therapeutics, Inc. was incorporated in 2016 and is headquartered in New York, New York.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 2UV.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 2024