-
1 Comment
Ishii Hyoki Co., Ltd is currently in a long term downtrend where the price is trading 6.1% below its 200 day moving average.
From a valuation standpoint, the stock is 47.5% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.6.
Ishii Hyoki Co., Ltd's total revenue rose by 20.1% to $3B since the same quarter in the previous year.
Its net income has increased by 1609.3% to $299M since the same quarter in the previous year.
Based on the above factors, Ishii Hyoki Co., Ltd gets an overall score of 3/5.
| Exchange | TSE |
|---|---|
| CurrencyCode | JPY |
| Sector | Industrials |
| Industry | Specialty Industrial Machinery |
| ISIN | JP3134450000 |
| Market Cap | 4B |
|---|---|
| Dividend Yield | 7.6% |
| Beta | 0.55 |
| PE Ratio | 6.58 |
| Target Price | None |
Ishii Hyoki Co., Ltd. manufactures and sells electrical machinery and peripheral electronic machinery parts in Japan. It offers devices, such as graphic operation panel LCD systems; switch panel units; silk printing, label printing, and alumite nameplates; film formation products; printed circuit board parts; and precision sheet metal processing products. The company also provides polishing and surfacing machines for use in the production of printed circuit boards, FPCs, and electronic parts; and deburring machines for use in the surface treatment of clutch discs, brake pads, and other automobile parts. In addition, it offers PI inkjet systems for liquid crystal displays, as well as related maintenance services. The company was founded in 1963 and is headquartered in Fukuyama, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 6336.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
