-
1 Comment
CK Asset Holdings Limited is currently in a long term uptrend where the price is trading 24.4% above its 200 day moving average.
From a valuation standpoint, the stock is 50.5% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 2.9.
CK Asset Holdings Limited's total revenue sank by 45.0% to $31B since the same quarter in the previous year.
Its net income has dropped by 28.5% to $10B since the same quarter in the previous year.
Finally, its free cash flow fell by 53.9% to $6B since the same quarter in the previous year.
Based on the above factors, CK Asset Holdings Limited gets an overall score of 2/5.
| ISIN | KYG2177B1014 |
|---|---|
| Sector | Real Estate |
| Industry | Real Estate - Development |
| Exchange | HK |
| CurrencyCode | HKD |
| Market Cap | 167B |
|---|---|
| PE Ratio | 15.39 |
| Target Price | 53.196 |
| Dividend Yield | 3.5% |
| Beta | 0.56 |
CK Asset Holdings Limited operates as a property developer in Hong Kong, the Mainland, Singapore, the United Kingdom, continental Europe, Australia, and Canada. The company engages in the development and investment in residential, commercial, and industrial properties; operation of hotels, serviced suites, and pubs; and investment in infrastructure and utility asset operation. It also provides property and project management, finance, and property agency services. The company was formerly known as Cheung Kong Property Holdings Limited and changed its name to CK Asset Holdings Limited in September 2017. CK Asset Holdings Limited was incorporated in 2015 and is headquartered in Central, Hong Kong.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1113.HK 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