-
1 Comment
Yamashina Corporation is currently in a long term uptrend where the price is trading 2.3% above its 200 day moving average.
From a valuation standpoint, the stock is 5.0% more expensive than other stocks from the Industrials sector with a price to sales ratio of 1.2.
Yamashina Corporation's total revenue rose by 3.9% to $2B since the same quarter in the previous year.
Its net income has increased by 40.6% to $99M since the same quarter in the previous year.
Based on the above factors, Yamashina Corporation gets an overall score of 3/5.
| ISIN | JP3936400005 |
|---|---|
| Exchange | TSE |
| CurrencyCode | JPY |
| Sector | Industrials |
| Industry | Tools & Accessories |
| Market Cap | 11B |
|---|---|
| PE Ratio | 32.51 |
| Target Price | None |
| Dividend Yield | 1.3% |
| Beta | -0.38 |
Wise Holdings Co.,Ltd. engages in the planning, manufacture, and sale of metal products in Japan, Thailand, Asia, and internationally. The company offers tapping fasteners for metals, plastic, and thin plates; aluminum alloy zipper, CFRP fasteners, anti-loosening fasteners, crimp bolts, washer assembled screws, and head shape products; and custom-made products, such as neck tight screws and small metal parts. It also provides contract test and consulting services. The company serves car, home appliances and industrial equipment, medical equipment, robot, and architecture industries. The company was formerly known as Yamashina Corporation and changed its name to Wise Holdings Co.,Ltd. in October 2024. Wise Holdings Co.,Ltd. was incorporated in 1917 and is headquartered in Kyoto, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 5955.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 2026
