-
1 Comment
Doshisha Co.,Ltd is currently in a long term downtrend where the price is trading 9.2% below its 200 day moving average.
From a valuation standpoint, the stock is 38.8% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.7.
Doshisha Co.,Ltd's total revenue rose by 4.9% to $31B since the same quarter in the previous year.
Its net income has increased by 37.5% to $2B since the same quarter in the previous year.
Finally, its free cash flow grew by 31.9% to $-3B since the same quarter in the previous year.
Based on the above factors, Doshisha Co.,Ltd gets an overall score of 4/5.
| CurrencyCode | JPY |
|---|---|
| ISIN | JP3638000004 |
| Exchange | TSE |
| Sector | Industrials |
| Industry | Conglomerates |
| Dividend Yield | 4.0% |
|---|---|
| Beta | 0.27 |
| Market Cap | 86B |
| PE Ratio | 13.32 |
| Target Price | 2700 |
DOSHISHA, legally known as DOSHISHA CORPORATION., headquartered in Tokyo, Japan, is a company in the distribution industry. It aims to provide customers with better, cheaper, and more specialized products. The company offers a wide range of products, including fashion items, food and beverages, household appliances, and electronics. Doshisha Corporation is committed to environmental sustainability, promoting eco-friendly practices and contributing to local communities through various initiatives. The company operates with a strong focus on quality, compliance, and employee development.The company was founded in 1974 and is headquartered in Osaka, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 7483.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
