-
1 Comment
Outlook Therapeutics, Inc is currently in a long term uptrend where the price is trading 40.2% above its 200 day moving average.
From a valuation standpoint, the stock is 99.0% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 13.3.
Outlook Therapeutics, Inc's total revenue sank by 100.0% to $0 since the same quarter in the previous year.
Its net income has increased by 12.9% to $-14M since the same quarter in the previous year.
Finally, its free cash flow fell by 99.7% to $-13M since the same quarter in the previous year.
Based on the above factors, Outlook Therapeutics, Inc gets an overall score of 3/5.
Sector | Healthcare |
---|---|
Industry | Biotechnology |
Exchange | NASDAQ |
CurrencyCode | USD |
ISIN | US69012T2069 |
PE Ratio | None |
---|---|
Target Price | 10 |
Beta | 0.47 |
Market Cap | 49M |
Dividend Yield | None |
Outlook Therapeutics, Inc., operates as a clinical-stage biopharmaceutical company, focuses on developing and commercializing monoclonal antibodies for ophthalmic indications. Its lead product candidate is ONS-5010, an ophthalmic bevacizumab product formulation of bevacizumab product candidate that is in Phase-III clinical trial for the treatment of wet age-related macular degeneration and other retina diseases. Outlook Therapeutics, Inc. has collaboration agreements with Cencora. The company was formerly known as Oncobiologics, Inc. and changed its name to Outlook Therapeutics, Inc. in November 2018. Outlook Therapeutics, Inc. was incorporated in 2010 and is headquartered in Iselin, New Jersey.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for OTLK 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