-
1 Comment
Goldlion Holdings Limited is currently in a long term uptrend where the price is trading 7.1% above its 200 day moving average.
From a valuation standpoint, the stock is 73.1% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 1.3.
Goldlion Holdings Limited's total revenue sank by 17.4% to $700M since the same quarter in the previous year.
Its net income has dropped by 35.2% to $92M since the same quarter in the previous year.
Finally, its free cash flow grew by 2292.0% to $33M since the same quarter in the previous year.
Based on the above factors, Goldlion Holdings Limited gets an overall score of 3/5.
| Exchange | HK |
|---|---|
| CurrencyCode | HKD |
| ISIN | HK0533002009 |
| Sector | Consumer Cyclical |
| Industry | Apparel Manufacturing |
| PE Ratio | 14.7 |
|---|---|
| Target Price | 4.95 |
| Dividend Yield | 4.1% |
| Market Cap | 1B |
| Beta | 0.21 |
Goldlion Holdings Limited, an investment holding company, manufactures and distributes apparel in China Mainland, Hong Kong SAR, and Singapore. It operates through three segments: Apparel in China Mainland and Hong Kong SAR, Apparel in Singapore, and Property Investment and Development. The company offers garments, leather goods, and accessories, as well as licenses its brand name; invests in, develops, and manages properties. It also engages in photovoltaic business. The company offers its products through distributors, self-operated retail shops, and factory outlets, as well as through e-commerce and custom ordering. Goldlion Holdings Limited was founded in 1968 and is based in Sha Tin, Hong Kong.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 0533.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
