-
1 Comment
Stella International Holdings Limited is currently in a long term uptrend where the price is trading 25.5% above its 200 day moving average.
From a valuation standpoint, the stock is 83.5% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.8.
Stella International Holdings Limited's total revenue sank by 21.4% to $624M since the same quarter in the previous year.
Its net income has dropped by 87.8% to $7M since the same quarter in the previous year.
Finally, its free cash flow grew by 99.0% to $60M since the same quarter in the previous year.
Based on the above factors, Stella International Holdings Limited gets an overall score of 3/5.
| Exchange | HK |
|---|---|
| CurrencyCode | HKD |
| Sector | Consumer Cyclical |
| Industry | Footwear & Accessories |
| ISIN | KYG846981028 |
| Beta | 0.2 |
|---|---|
| PE Ratio | 10.39 |
| Target Price | 18.2296 |
| Dividend Yield | 6.1% |
| Market Cap | 14B |
Stella International Holdings Limited, an investment holding company, engages in development, manufacture, and sale of footwear products and leather goods in North America, the People's Republic of China, Europe, Asia, and internationally. The company operates through two segments: Manufacturing and Retailing and Wholesaling. It also involved in the holding of intellectual property rights; provision of marketing, secretary, and accounting services; sourcing and distribution of footwear; and footwear retailing business. In addition, the company manufactures and sells handbags. It offers its products under the Stella Luna brand. Stella International Holdings Limited was founded in 1982 and is based in Kowloon, Hong Kong.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1836.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
