-
1 Comment
Wooshin Systems Co., Ltd is currently in a long term uptrend where the price is trading 19.7% above its 200 day moving average.
From a valuation standpoint, the stock is 72.9% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.4.
Wooshin Systems Co., Ltd's total revenue sank by 23.2% to $66B since the same quarter in the previous year.
Its net income has dropped by 266.2% to $-9B since the same quarter in the previous year.
Finally, its free cash flow grew by 15.2% to $-5B since the same quarter in the previous year.
Based on the above factors, Wooshin Systems Co., Ltd gets an overall score of 3/5.
| CurrencyCode | KRW |
|---|---|
| Exchange | KO |
| ISIN | KR7017370008 |
| Sector | Consumer Cyclical |
| Industry | Auto Parts |
| Market Cap | 96B |
|---|---|
| PE Ratio | None |
| Beta | 1.46 |
| Dividend Yield | 0.8% |
| Target Price | 10800 |
Wooshin Systems Co., Ltd. develops, manufactures, and sells automotive body assembly systems and body parts in South Korea and internationally. The company offers engineering solutions comprising automotive system design and after sales services; electric vehicle batteries for battery and electric vehicle manufacturers; and retractors, retractor pretensioners, active seat belts, buckles, lap pretensioners, rear retractors, height adjusters, and guide loops. It also provides exterior body parts, such as doors and closures, and other parts; and automotive interior components, including interior trim components and parts, as well as console side panels and pillar trims. Wooshin Systems Co., Ltd. was founded in 1984 and is headquartered in Siheung-Si, South Korea.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 017370.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
