-
1 Comment
Suheung Co., Ltd is currently in a long term uptrend where the price is trading 4.2% above its 200 day moving average.
From a valuation standpoint, the stock is 88.3% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 1.0.
Suheung Co., Ltd's total revenue rose by 5.8% to $121B since the same quarter in the previous year.
Its net income has increased by 324.3% to $9B since the same quarter in the previous year.
Finally, its free cash flow fell by 33.1% to $-14B since the same quarter in the previous year.
Based on the above factors, Suheung Co., Ltd gets an overall score of 4/5.
| Exchange | KO |
|---|---|
| CurrencyCode | KRW |
| ISIN | KR7008490005 |
| Sector | Healthcare |
| Industry | Drug Manufacturers - Specialty & Generic |
| Beta | 0.43 |
|---|---|
| Market Cap | 157B |
| Dividend Yield | 1.4% |
| PE Ratio | None |
| Target Price | 15000 |
Suheung Co., Ltd. engages in produces and sells hard and soft capsules. The company provides solid dosage forms, including hard and soft capsule, tablets, powder, granules; fluidity and concentrated liquids; gummy, sticky and water jellies. It offers medical supplies, such as prescription medicines; over-the-counter drugs comprising antipyretic-analgesics, cold medicine, digestive medicine, liver-treatment medicine, and nutritional supplements; and quasi-drugs, which includes low-content vitamin-cosmetic products, multi-vitamin, toothpaste, effervescent tablet, and chewable tablet. In addition, it provides its capsules under Embocaps brand name. The company was founded in 1973 and is headquartered in Cheongju-si, South Korea.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 008490.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
