-
1 Comment
Dragon Crown Group Holdings Limited is currently in a long term uptrend where the price is trading 26.6% above its 200 day moving average.
From a valuation standpoint, the stock is 65.3% more expensive than other stocks from the Industrials sector with a price to sales ratio of 3.7.
Dragon Crown Group Holdings Limited's total revenue rose by 2.1% to $116M since the same quarter in the previous year.
Its net income has increased by 198.2% to $44M since the same quarter in the previous year.
Finally, its free cash flow fell by 23.1% to $19M since the same quarter in the previous year.
Based on the above factors, Dragon Crown Group Holdings Limited gets an overall score of 3/5.
| Industry | Commercial Services & Supplies |
|---|---|
| CurrencyCode | HKD |
| Exchange | HK |
| Sector | Industrials |
| ISIN | KYG290281008 |
| Dividend Yield | 2.8% |
|---|---|
| Target Price | None |
| PE Ratio | 25.4 |
| Market Cap | 2B |
| Beta | 0.47 |
Dragon Crown Group Holdings Limited, an investment holding company, provides storage and integrated terminal services for liquid petrochemical products in the People's Republic of China. It offers liquid chemical storage and handling services, including loading and discharging of liquid chemical products at its jetties; storage of liquid chemical products at its tank farm; and delivery of products through its pipelines and other basic terminal infrastructure. The company operates three terminals located in Nanjing, Ningbo, and Weifang. Dragon Crown Group Holdings Limited was founded in 1990 and is headquartered in Wan Chai, Hong Kong.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 0935.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 2024
