-
1 Comment
Aprogen pharmaceuticals,Inc is currently in a long term downtrend where the price is trading 0.9% below its 200 day moving average.
From a valuation standpoint, the stock is 19.5% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 6.9.
Aprogen pharmaceuticals,Inc's total revenue sank by 14.7% to $13B since the same quarter in the previous year.
Its net income has increased by 70.9% to $-850M since the same quarter in the previous year.
Finally, its free cash flow grew by 2211.5% to $4B since the same quarter in the previous year.
Based on the above factors, Aprogen pharmaceuticals,Inc gets an overall score of 3/5.
Industry | Drug Manufacturers - Specialty & Generic |
---|---|
Exchange | KO |
CurrencyCode | KRW |
ISIN | KR7003060001 |
Sector | Healthcare |
PE Ratio | None |
---|---|
Market Cap | 141B |
Target Price | None |
Beta | 0.14 |
Dividend Yield | None |
Aprogen Biologics Inc. manufactures and sells pharmaceutical products primarily in South Korea. It offers approximately 200 types of medicines, including ethical and over the counter drugs. The company offers its drugs for transfusion, digestive system, osteoarthritis, skeletal muscle relaxants, NSAIDs, osteoporosis, circulatory system, endocrine, respiratory system, urinary system, depilatory, antihistamines and antiallergics, obesity, brain function, neurologics, and male pattern hair loss. It also provides anti-biotic, anti-fungal, anti-viral, anti-ulcerant, anti-epliepsy products; external agents; anti-cancer drugs; amino-acid nutrient transfusion agents; and cosmetics. Aprogen Biologics Inc. was founded in 1960 and is headquartered in Seongnam-si, South Korea.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 003060.KO 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