-
1 Comment
Quanzhou Huixin Micro-Credit Co., Ltd is currently in a long term uptrend where the price is trading 1.9% above its 200 day moving average.
From a valuation standpoint, the stock is 70.3% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 4.4.
Quanzhou Huixin Micro-Credit Co., Ltd's total revenue rose by 2.8% to $77M since the same quarter in the previous year.
Its net income has increased by 52.1% to $35M since the same quarter in the previous year.
Finally, its free cash flow fell by 93.1% to $6M since the same quarter in the previous year.
Based on the above factors, Quanzhou Huixin Micro-Credit Co., Ltd gets an overall score of 4/5.
Exchange | HK |
---|---|
CurrencyCode | HKD |
ISIN | CNE1000029X1 |
Sector | Financial Services |
Industry | Credit Services |
PE Ratio | 6.71 |
---|---|
Target Price | None |
Market Cap | 639M |
Dividend Yield | 5.7% |
Beta | -0.01 |
Quanzhou Huixin Micro-credit Co., Ltd., a microfinance company, provides various short-term financing solutions to entrepreneurial individuals, small and medium-sized enterprises, and microenterprises in the People's Republic of China. It offers revolving credit, joint-guaranteed, targeted payment, bridge, and collateralized quick-access loans. The company also provides investment advisory and consulting, information technology advisory, and estate brokerage services; and operates treasury. Quanzhou Huixin Micro-credit Co., Ltd. was incorporated in 2010 and is headquartered in Quanzhou, the People's Republic of China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1577.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