-
1 Comment
Daihatsu Diesel Mfg. Co., Ltd is currently in a long term uptrend where the price is trading 4.6% above its 200 day moving average.
From a valuation standpoint, the stock is 73.8% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.3.
Daihatsu Diesel Mfg. Co., Ltd's total revenue sank by 4.4% to $13B since the same quarter in the previous year.
Its net income has increased by 138.6% to $53M since the same quarter in the previous year.
Based on the above factors, Daihatsu Diesel Mfg. Co., Ltd gets an overall score of 3/5.
ISIN | JP3497000004 |
---|---|
Sector | Industrials |
Industry | Specialty Industrial Machinery |
CurrencyCode | JPY |
Exchange | TSE |
Dividend Yield | 2.6% |
---|---|
Target Price | None |
PE Ratio | 10.63 |
Beta | 0.74 |
Market Cap | 18B |
Daihatsu Diesel Mfg. Co., Ltd. manufactures and sells marine engines, land engines, and industrial instruments in Japan and internationally. Its marine engine products include propulsion systems, electric propulsion systems, auxiliary systems, and dual-fuel engines, as well as marine engines for nitrogen oxide regulations. The company's land engines comprise land diesel engines and gas turbines/gas engines for emergency power generation/pumping; and co-generation systems. Its industrial instruments include aluminum wheels, oil mist detectors and monitors, and doughnut RD couplings. The company is also involved in real estate leasing business; transportation, warehouse management, and contracting business; and solar power generation business. The company was founded in 1907 and is headquartered in Osaka, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 6023.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 2024