-
1 Comment
New World Department Store China Limited is currently in a long term uptrend where the price is trading 11.7% above its 200 day moving average.
From a valuation standpoint, the stock is 81.4% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.9.
New World Department Store China Limited's total revenue sank by 16.9% to $1B since the same quarter in the previous year.
Its net income has dropped by 243.1% to $-204M since the same quarter in the previous year.
Finally, its free cash flow grew by 12.5% to $341M since the same quarter in the previous year.
Based on the above factors, New World Department Store China Limited gets an overall score of 3/5.
Exchange | HK |
---|---|
CurrencyCode | HKD |
ISIN | KYG650071098 |
Sector | Consumer Cyclical |
Industry | Department Stores |
Market Cap | 430M |
---|---|
PE Ratio | 25.5 |
Target Price | 1.6 |
Beta | 0.36 |
Dividend Yield | None |
New World Department Store China Limited, an investment holding company, owns and operates department stores and shopping malls in the People's Republic of China. The company operates its department stores, supermarkets, and shopping malls under the New World and Ba Li Chun Tian brand names, as well as concept shops under Love " Original " Life (LOL) brand names. It also involved in the property investment activities; and provision of management and financing services. New World Department Store China Limited was founded in 1993 and is headquartered in Cheung Sha Wan, Hong Kong. New World Department Store China Limited operates as a subsidiary of New World Development Company Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 0825.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