-
1 Comment
Fuyo General Lease Co., Ltd is currently in a long term downtrend where the price is trading 0.6% below its 200 day moving average.
From a valuation standpoint, the stock is 73.8% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.3.
Fuyo General Lease Co., Ltd's total revenue rose by 6.2% to $196B since the same quarter in the previous year.
Its net income has increased by 5.0% to $7B since the same quarter in the previous year.
Based on the above factors, Fuyo General Lease Co., Ltd gets an overall score of 3/5.
| Exchange | TSE |
|---|---|
| CurrencyCode | JPY |
| ISIN | JP3826270005 |
| Sector | Industrials |
| Industry | Rental & Leasing Services |
| PE Ratio | 9.43 |
|---|---|
| Target Price | 4000 |
| Dividend Yield | 3.8% |
| Beta | 0.32 |
| Market Cap | 360B |
Fuyo General Lease Co., Ltd. engages in the leasing and instalment sales business in Japan and internationally. The company operates through Lease and Installment Sales, Financing, and Other segments. The Lease and Installment Sales segment engages in leasing of IT, office equipment, industrial machinery, real estate, and other assets; as well as sells commercial/service equipment, production facilities, medical devices, and other assets. The Financing segment invests in marketable securities and offers loans. It also engages in BPO, mobility, and environmental-related businesses. Fuyo General Lease Co., Ltd. also engages in the solar power generation business. The company was incorporated in 1969 and is headquartered in Tokyo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 8424.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
