-
1 Comment
ITC Properties Group Limited is currently in a long term downtrend where the price is trading 5.4% below its 200 day moving average.
From a valuation standpoint, the stock is 146.0% more expensive than other stocks from the Consumer Cyclical sector with a price to sales ratio of 11.9.
ITC Properties Group Limited's total revenue sank by 84.2% to $12M since the same quarter in the previous year.
Its net income has increased by 42.0% to $-302M since the same quarter in the previous year.
Finally, its free cash flow grew by 21.6% to $-129M since the same quarter in the previous year.
Based on the above factors, ITC Properties Group Limited gets an overall score of 2/5.
| Sector | Consumer Cyclical |
|---|---|
| CurrencyCode | HKD |
| ISIN | BMG4984N1618 |
| Exchange | HK |
| Industry | Lodging |
| Market Cap | 189M |
|---|---|
| Target Price | 4.22 |
| Beta | -0.23 |
| PE Ratio | None |
| Dividend Yield | None |
ITC Properties Group Limited, an investment holding company, primarily engages in the property development and investment activities in the People's Republic of China, Hong Kong, Canada, Macau, and internationally. It operates through Property, Hotel and Leisure, Securities Investments, and Finance segments. The company is also involved in the investment, development, and sale of properties; investment in and management of hotels and resorts; trading and investment of securities; and provision of loan financing, and management services. In addition, it engages in the money lending business and corporate secretarial services. ITC Properties Group Limited was incorporated in 1994 and is based in Central, Hong Kong.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 0199.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 2025
