-
1 Comment
Casablanca Group Limited is currently in a long term uptrend where the price is trading 6.8% above its 200 day moving average.
From a valuation standpoint, the stock is 87.6% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.6.
Casablanca Group Limited's total revenue sank by 30.3% to $136M since the same quarter in the previous year.
Its net income has dropped by 132.7% to $-2M since the same quarter in the previous year.
Finally, its free cash flow grew by 1192.6% to $16M since the same quarter in the previous year.
Based on the above factors, Casablanca Group Limited gets an overall score of 3/5.
Sector | Consumer Cyclical |
---|---|
Industry | Textile Manufacturing |
ISIN | KYG192861063 |
Exchange | HK |
CurrencyCode | HKD |
Market Cap | 73M |
---|---|
PE Ratio | None |
Target Price | None |
Beta | 0.04 |
Dividend Yield | None |
Casablanca Group Limited, an investment holding company, designs, manufactures, distributes, retails, and trades bedding products in Hong Kong, Macau, the People's Republic of China, and internationally. Its products include bed linens, duvets, and pillows, as well as other home accessories, such as blankets, mattresses and towels, etc. The company also trades in home accessories and furniture. It sells its products under the Casa Calvin, Casablanca, and CASA-V brand names. The company was founded in 1993 and is headquartered in Sha Tin, Hong Kong. Casablanca Group Limited is a subsidiary of World Empire Investment Inc.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 2223.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