-
1 Comment
HKR International Limited is currently in a long term uptrend where the price is trading 8.9% above its 200 day moving average.
From a valuation standpoint, the stock is 86.1% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 0.9.
Finally, its free cash flow fell by 5.3% to $462M since the same quarter in the previous year.
Based on the above factors, HKR International Limited gets an overall score of 2/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | KYG4520J1040 |
Sector | Real Estate |
Industry | Real Estate - Development |
Market Cap | 141M |
---|---|
PE Ratio | None |
Target Price | None |
Beta | 0.73 |
Dividend Yield | None |
HKR International Limited, an investment holding company, invests in, develops, and manages real estate properties in Hong Kong, Mainland China, Japan, and Southeast Asia. The company operates through Property Development, Property Investment, Transportation Services and Property Management, Hotel Operations, and Leisure Businesses segments. It develops and manages residential and commercial properties, hotels, and serviced apartments. The company operates hotels, clubs, and leisure venues under the Auberge Hospitality leisure brand; and leisure projects, which include Discovery Bay Recreation Club, Club Siena, Discovery Bay Golf Club, Lantau Yacht Club, DB Ice Rink, and Peony Chinese restaurant. In addition, it offers transportation services in Discovery Bay, including ferry, bus transport, and tunnel operations; and project management services. The company was founded in 1977 and is based in Central, Hong Kong.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for HKR.F 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