-
1 Comment
Daiwa Industries Ltd is currently in a long term downtrend where the price is trading 1.4% below its 200 day moving average.
From a valuation standpoint, the stock is 22.5% more expensive than other stocks from the Industrials sector with a price to sales ratio of 1.4.
Daiwa Industries Ltd's total revenue rose by 14.6% to $10B since the same quarter in the previous year.
Its net income has increased by 51.2% to $763M since the same quarter in the previous year.
Based on the above factors, Daiwa Industries Ltd gets an overall score of 2/5.
| ISIN | JP3505800007 |
|---|---|
| Sector | Industrials |
| Industry | Specialty Industrial Machinery |
| Exchange | TSE |
| CurrencyCode | JPY |
| Dividend Yield | 3.3% |
|---|---|
| Market Cap | 77B |
| PE Ratio | 14.19 |
| Beta | 0.35 |
| Target Price | None |
Daiwa Industries Ltd. manufactures and sells commercial freezers and refrigerators, showcases, ice machines, and vending machines in Japan and internationally. It offers undercounters, healthcare and science related equipment, and heating and cooling equipment for store kitchens, as well as equipment inspection and repair services. The company also involved in manufacturing, leasing, and sale of kitchen equipment, devices, and parts; planning, designing, and constructing of stores and kitchens; other construction work; and installing cooling equipment, and manufacturing and sale of its parts, as well as generating power and selling electricity. The company was incorporated in 1950 and is headquartered in Osaka, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 6459.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
