-
1 Comment
DSR Wire Corp is currently in a long term uptrend where the price is trading 23.4% above its 200 day moving average.
From a valuation standpoint, the stock is 47.0% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.5.
DSR Wire Corp's total revenue sank by 6.3% to $45B since the same quarter in the previous year.
Its net income has dropped by 94.3% to $11M since the same quarter in the previous year.
Finally, its free cash flow grew by 81.9% to $6B since the same quarter in the previous year.
Based on the above factors, DSR Wire Corp gets an overall score of 3/5.
ISIN | KR7069730000 |
---|---|
Sector | Industrials |
Industry | Electrical Equipment & Parts |
Exchange | KO |
CurrencyCode | KRW |
Market Cap | 53B |
---|---|
PE Ratio | None |
Target Price | None |
Dividend Yield | 2.7% |
Beta | 0.83 |
DSR Wire Corp manufactures wire and wire rope in South Korea. The company provides fiber ropes; music spring wire, drawn steel wire, oil quenched and tempered wire, zinc coated steel wire, stainless steel NF wire, and zinc coated steel wire, as well as offers stainless steel for roping, welding, CHQ, and spring. The company offers its products for crane, mooring/tug, heavy lifting, mining, utility, lesirure/entertainment, commercial fishing, aquaculture, automotive, and general use sectors. The company was formerly known as Chunki Wire Rope Industry Ltd and changed its name to DSR Wire Corp in May 2000. DSR Wire Corp was founded in 1971 and is headquartered in Suncheon-si, South Korea.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 069730.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