-
1 Comment
AK Holdings, Inc is currently in a long term uptrend where the price is trading 6.0% above its 200 day moving average.
From a valuation standpoint, the stock is 90.7% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 0.1.
AK Holdings, Inc's total revenue sank by 28.4% to $644B since the same quarter in the previous year.
Its net income has dropped by 7.2% to $-14B since the same quarter in the previous year.
Finally, its free cash flow fell by 849.8% to $-45B since the same quarter in the previous year.
Based on the above factors, AK Holdings, Inc gets an overall score of 2/5.
| Exchange | KO |
|---|---|
| CurrencyCode | KRW |
| ISIN | KR7006840003 |
| Sector | Basic Materials |
| Industry | Chemicals |
| PE Ratio | None |
|---|---|
| Target Price | 84000 |
| Dividend Yield | 3.9% |
| Beta | 1.42 |
| Market Cap | 138B |
AK Holdings, Inc., through its subsidiaries, manufactures and sells paints and other chemical products in South Korea, the People's Republic of China, Vietnam, and internationally. The company offers cosmetics and varnish, and detergent soaps. It also engages in the real estate leasing and investment, trading, servicing, domestic and international air transport, and air transport assistance activities, as well as golf course management. In addition, the company acts as a real estate agent. Further, it operates various money trusts and department stores, as well as operates in food and beverage industry. The company was founded in 1945 and is based in Seoul, South Korea.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 006840.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
