-
1 Comment
Wing Fung Group Asia Limited is currently in a long term downtrend where the price is trading 43.8% below its 200 day moving average.
From a valuation standpoint, the stock is 55.3% cheaper than other stocks from the Industrials sector with a price to sales ratio of 1.0.
Wing Fung Group Asia Limited's total revenue rose by 80.9% to $78M since the same quarter in the previous year.
Its net income has increased by 82.5% to $16M since the same quarter in the previous year.
Finally, its free cash flow fell by 301.5% to $-17M since the same quarter in the previous year.
Based on the above factors, Wing Fung Group Asia Limited gets an overall score of 3/5.
| Sector | Industrials |
|---|---|
| Industry | Building Products & Equipment |
| CurrencyCode | HKD |
| ISIN | KYG970591106 |
| Exchange | HK |
| Market Cap | 20M |
|---|---|
| PE Ratio | 12.5 |
| Target Price | None |
| Beta | -0.29 |
| Dividend Yield | None |
Wing Fung Group Asia Limited, an investment holding company, provides supply, installation, and fitting-out services of mechanical ventilation and air-conditioning systems for buildings in Hong Kong and Macau. The company also engages in the trading of construction materials. It serves contractors and subcontractors of various building projects, including infrastructural, commercial, and residential building projects. The company was formerly known as Wing Fung Capital Holdings Limited and changed its name to Wing Fung Group Asia Limited in December 2016. The company was founded in 1996 and is headquartered in Kowloon Bay, Hong Kong. Wing Fung Group Asia Limited is a subsidiary of Wing Fung Capital Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 8526.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
