-
1 Comment
Nissei Plastic Industrial Co.,Ltd is currently in a long term uptrend where the price is trading 37.5% above its 200 day moving average.
From a valuation standpoint, the stock is 56.3% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.5.
Nissei Plastic Industrial Co.,Ltd's total revenue rose by 6.0% to $10B since the same quarter in the previous year.
Its net income has increased by 35.7% to $361M since the same quarter in the previous year.
Based on the above factors, Nissei Plastic Industrial Co.,Ltd gets an overall score of 4/5.
| Exchange | TSE |
|---|---|
| CurrencyCode | JPY |
| ISIN | JP3679000004 |
| Sector | Industrials |
| Industry | Specialty Industrial Machinery |
| Market Cap | 16B |
|---|---|
| PE Ratio | 123.0 |
| Target Price | 1700 |
| Beta | 0.31 |
| Dividend Yield | 4.8% |
Nissei Plastic Industrial Co.,Ltd. develops, manufactures, and sells injection molding machines, molds, auto-molding systems, and measuring instruments in Japan. The company offers hybrid and electric horizontal injection molding machines; hybrid and electric vertical injection molding machines, and hybrid compact vertical injection molding machines; hybrid and electric 2-color/dissimilar material molding machines; nitrogen gas generators; quality/production control systems; and molding data collecting/recording/analyzing systems. It also exports its products to approximately 80 countries. The company was founded in 1947 and is headquartered in Hanishina, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 6293.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
