-
1 Comment
WILL,Co.,Ltd 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 87.6% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 0.6.
WILL,Co.,Ltd's total revenue rose by 33.8% to $3B since the same quarter in the previous year.
Its net income has increased by 37.6% to $267M since the same quarter in the previous year.
Based on the above factors, WILL,Co.,Ltd gets an overall score of 4/5.
| Exchange | TSE |
|---|---|
| CurrencyCode | JPY |
| ISIN | JP3154250009 |
| Sector | Real Estate |
| Industry | Real Estate Services |
| Target Price | None |
|---|---|
| Market Cap | 7B |
| PE Ratio | 7.92 |
| Beta | -0.13 |
| Dividend Yield | None |
WILL,Co.,Ltd. engages in real estate business in Japan. It operates through distribution, renovation, development and sales, rental, and real estate transaction derivatives business segments. The company purchases, plans, develops, and sells detached houses and residential land. It also engages in remodeling of second-hand homes, furniture proposals, and remodeling work; operate and rent commercial facilities; as well as management consulting business, human resources consulting business, etc. In addition, the company provides insurance agency services, life insurance solicitation services, and loan administration services associated with the purchase of real estate properties. The company was founded in 1993 and is headquartered in Takarazuka, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 3241.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
