-
1 Comment
Fit Corporation is currently in a long term downtrend where the price is trading 22.0% below its 200 day moving average.
From a valuation standpoint, the stock is 21.3% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.9.
Fit Corporation's total revenue rose by 9.4% to $1B since the same quarter in the previous year.
Its net income has increased by 132.5% to $5M since the same quarter in the previous year.
Based on the above factors, Fit Corporation gets an overall score of 3/5.
| Exchange | TSE |
|---|---|
| CurrencyCode | JPY |
| Sector | Industrials |
| Industry | Engineering & Construction |
| ISIN | JP3802980007 |
| PE Ratio | 33.18 |
|---|---|
| Target Price | None |
| Dividend Yield | 0.6% |
| Market Cap | 9B |
| Beta | 1.2 |
GreenEnergy & Company Inc. engages in the sale, construction, and maintenance of solar power generation facilities and compact houses equipped with solar power generation. It also provides construction management services, including quality, safety, schedule, and cost management for solar power generation facilities and housing projects. In addition, the company is involved in the development of storage battery control devices and backbone systems to support the stable supply and efficient use of renewable energy. The company serves customers seeking renewable energy solutions and construction management services. It operates primarily in Japan, focusing on the creation and expansion of renewable energy, particularly solar power generation, to contribute to a sustainable society. The company was formerly known as Fit Corporation and changed its name to GreenEnergy & Company in May 2024. The company was incorporated in 2009 and is headquartered in Tokyo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1436.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