-
1 Comment
Aekyung Petrochemical Co., Ltd is currently in a long term uptrend where the price is trading 10.2% above its 200 day moving average.
From a valuation standpoint, the stock is 62.9% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 0.4.
Aekyung Petrochemical Co., Ltd's total revenue rose by 9.7% to $249B since the same quarter in the previous year.
Its net income has increased by 228.5% to $8B since the same quarter in the previous year.
Finally, its free cash flow grew by 272.1% to $8B since the same quarter in the previous year.
Based on the above factors, Aekyung Petrochemical Co., Ltd gets an overall score of 5/5.
| Exchange | KO |
|---|---|
| CurrencyCode | KRW |
| ISIN | KR7161000005 |
| Sector | Basic Materials |
| Industry | Specialty Chemicals |
| PE Ratio | None |
|---|---|
| Target Price | 16000 |
| Dividend Yield | 4.0% |
| Market Cap | 370B |
| Beta | 0.88 |
Aekyungchemical Co., Ltd. operates as a general chemical company. The company provides general-purpose, and functional and eco-friendly plasticizers; phthalic anhydride, maleic anhydride, and itaconic acids; lubricant base oils; resins for composite materials and coatings; adhesives; polyisocyanate hardner, an isocyanate curing agent; and polyester polyol with aromatic structure and urethane system. It also offers household chemicals, including surfactants, refined glycerin, polymer products, and construction chemicals. In addition, the company provides biodiesel, bio heavy oils, and cathode materials. It operates in South Korea, Vietnam, and China. The company was founded in 1970 and is headquartered in Seoul, South Korea.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 161000.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
