-
1 Comment
Nippon Rietec Co.,Ltd is currently in a long term downtrend where the price is trading 23.6% below its 200 day moving average.
From a valuation standpoint, the stock is 72.8% cheaper than other stocks from the Technology sector with a price to sales ratio of 0.9.
Nippon Rietec Co.,Ltd's total revenue rose by 2.5% to $13B since the same quarter in the previous year.
Its net income has dropped by 10.7% to $610M since the same quarter in the previous year.
Based on the above factors, Nippon Rietec Co.,Ltd gets an overall score of 2/5.
| Sector | Industrials |
|---|---|
| Exchange | TSE |
| Industry | Engineering & Construction |
| CurrencyCode | JPY |
| ISIN | JP3510600004 |
| Beta | 0.68 |
|---|---|
| PE Ratio | 10.58 |
| Target Price | 1090 |
| Dividend Yield | 3.9% |
| Market Cap | 38B |
Nippon Rietec Co.,Ltd. engages in the railway electrical equipment construction business in Japan. The company's railway electrical equipment includes signal equipment, electric train line facility, power generation and transformation equipment, lighting and power equipment, and information and communication system constructions, as well as transmission line equipment construction. It also provides road equipment, including traffic signals, road information control systems, road signs, and landscape signs. In addition, the company offers indoor/outdoor electric installation work, and solar power generation systems; and transmission lines for equipment sector. Nippon Rietec Co.,Ltd. was incorporated in 1945 and is headquartered in Tokyo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1938.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
