-
1 Comment
NK Co., Ltd is currently in a long term uptrend where the price is trading 4.4% above its 200 day moving average.
From a valuation standpoint, the stock is 59.1% more expensive than other stocks from the Industrials sector with a price to sales ratio of 1.5.
NK Co., Ltd's total revenue sank by 97.9% to $745M since the same quarter in the previous year.
Its net income has increased by 87.3% to $-3B since the same quarter in the previous year.
Finally, its free cash flow fell by 336.9% to $-6B since the same quarter in the previous year.
Based on the above factors, NK Co., Ltd gets an overall score of 2/5.
| ISIN | KR7085310001 |
|---|---|
| Sector | Industrials |
| Industry | Specialty Industrial Machinery |
| CurrencyCode | KRW |
| Exchange | KO |
| PE Ratio | None |
|---|---|
| Target Price | None |
| Dividend Yield | 0.0% |
| Beta | 0.91 |
| Market Cap | 78B |
NK Co., Ltd. provides high-pressure gas container products in Korea and internationally. It offers various shipbuilding materials; marine extinguishing systems; and ballast water treatment systems, as well as provides aluminum and steel helidecks, fuel LNG tanks, and jumbo cylinder retests. The company also designs, manufactures, and constructs onshore and offshore plant facilities. In addition, it offers high-pressure gas containers, tube trailers, ultra-low temperature storage containers, gas-based and water-based extinguishing systems, gas supply systems, form extinguishing equipment, etc. The company was founded in 1980 and is based in Busan, South Korea.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 085310.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 2024
