-
1 Comment
Crocodile Garments Limited is currently in a long term uptrend where the price is trading 26.4% above its 200 day moving average.
From a valuation standpoint, the stock is 52.4% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 2.3.
Crocodile Garments Limited's total revenue sank by 0.0% to $38M since the same quarter in the previous year.
Its net income has dropped by 0.0% to $-73M since the same quarter in the previous year.
Finally, its free cash flow grew by 6.3% to $-11M since the same quarter in the previous year.
Based on the above factors, Crocodile Garments Limited gets an overall score of 3/5.
| Sector | Consumer Cyclical |
|---|---|
| Industry | Apparel Manufacturing |
| ISIN | HK0122000687 |
| Exchange | HK |
| CurrencyCode | HKD |
| Dividend Yield | None |
|---|---|
| PE Ratio | None |
| Beta | -0.26 |
| Target Price | None |
Crocodile Garments Limited, together with its subsidiaries, engages in the garment businesses in Hong Kong, Macau, and Mainland China. It operates in three segments: Garment and Related Accessories Business; Property Investment and Letting Business; and Treasury Management. The company offers menswear, ladies wear, children's clothing, ties, and underwear under the Crocodile brand name through online shop and other e-channels platforms. In addition, it is involved in the property investment and letting, and treasury management activities. The company was incorporated in 1961 is based in Kwun Tong, Hong Kong. Crocodile Garments Limited is a subsidiary of Honorman Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 0122.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
