-
1 Comment
Pou Sheng International (Holdings) Limited is currently in a long term uptrend where the price is trading 0.3% above its 200 day moving average.
From a valuation standpoint, the stock is 93.8% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.3.
Pou Sheng International (Holdings) Limited's total revenue rose by 256.0% to $26B since the same quarter in the previous year.
Its net income has increased by 33.1% to $303M since the same quarter in the previous year.
Finally, its free cash flow grew by 170.1% to $3B since the same quarter in the previous year.
Based on the above factors, Pou Sheng International (Holdings) Limited gets an overall score of 5/5.
| ISIN | BMG7208D1092 |
|---|---|
| Exchange | HK |
| CurrencyCode | HKD |
| Sector | Consumer Cyclical |
| Industry | Footwear & Accessories |
| PE Ratio | 5.0 |
|---|---|
| Dividend Yield | 5.8% |
| Target Price | 1.1184 |
| Beta | 1.03 |
| Market Cap | 3B |
Pou Sheng International (Holdings) Limited, an investment holding company, engages in distributing and retailing sportswear and footwear in the People's Republic of China and internationally. It also leases commercial spaces to retailers and distributors for concessionaire sales. In addition, the company is involved in the organization of sports events; sports marketing; and technical advisory services. The company was founded in 1992 and is based in Kwun Tong, Hong Kong. Pou Sheng International (Holdings) Limited is a subsidiary of Major Focus Management Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 3813.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
