-
1 Comment
Resorttrust, Inc is currently in a long term uptrend where the price is trading 9.2% above its 200 day moving average.
From a valuation standpoint, the stock is 20.6% more expensive than other stocks from the Consumer Cyclical sector with a price to sales ratio of 1.3.
Resorttrust, Inc's total revenue rose by 13.2% to $44B since the same quarter in the previous year.
Its net income has increased by 147.5% to $4B since the same quarter in the previous year.
Based on the above factors, Resorttrust, Inc gets an overall score of 3/5.
Sector | Consumer Cyclical |
---|---|
Industry | Resorts & Casinos |
ISIN | JP3974450003 |
Exchange | TSE |
CurrencyCode | JPY |
Beta | 0.29 |
---|---|
Market Cap | 395B |
PE Ratio | 19.53 |
Target Price | 2141.6667 |
Dividend Yield | 1.7% |
Resorttrust, Inc. engages in the hotel and restaurant business in Japan. It operates through three segments: Membership business, Hotel and Restaurant business, and medical business. The company sells hotel memberships, money lending to members, as well as constructing member-only hotels. It also operates 42 resort hotels and city hotels in Japan and 1 in Hawaii, as well as 14 golf courses in Japan. In addition, the company provides hotel cleaning services, insurance agency services, and sells hair accessories and other products. Further, it offers medical memberships, medical equipment rental, management services, medical consulting services, home care services, etc. The company was incorporated in 1973 and is headquartered in Nagoya, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 4681.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