-
1 Comment
Workman Co.,Ltd is currently in a long term downtrend where the price is trading 10.7% below its 200 day moving average.
From a valuation standpoint, the stock is 484.4% more expensive than other stocks from the Consumer Cyclical sector with a price to sales ratio of 6.3.
Workman Co.,Ltd's total revenue rose by 15.9% to $34B since the same quarter in the previous year.
Its net income has increased by 18.1% to $6B since the same quarter in the previous year.
Based on the above factors, Workman Co.,Ltd gets an overall score of 2/5.
Exchange | TSE |
---|---|
CurrencyCode | JPY |
Sector | Consumer Cyclical |
Industry | Apparel Retail |
ISIN | JP3990100004 |
PE Ratio | 23.23 |
---|---|
Target Price | 4098.5713 |
Beta | 0.75 |
Market Cap | 370B |
Dividend Yield | 1.5% |
Workman Co.,Ltd. operates a chain of specialty retail stores in Japan. It offers family clothes, such as underwear, socks, military boots, hats, towels, and aprons; casual wear, including polo shirts, T-shirts, high neck shirts, blousons, and sportswear; working wear comprising work jumpers, work pants, coveralls, kite clothing, and outdoor wear; uniforms, such as lab coats, office uniforms, non-woven fabrics, and women's clothing; footwear, including safety shoes, safety shoes, jikatabi, boots, and cloth shoes; and work goods comprising work gloves, leather gloves, processed gloves, rainwear, helmets, belts, and camping gear through franchise retail stores and online stores. The company was incorporated in 1979 and is headquartered in Tokyo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 7564.TSE 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