-
1 Comment
China Vered Financial Holding Corporation Limited is currently in a long term uptrend where the price is trading 9.8% above its 200 day moving average.
From a valuation standpoint, the stock is 63.6% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 5.4.
China Vered Financial Holding Corporation Limited's total revenue sank by 11.1% to $157M since the same quarter in the previous year.
Its net income has increased by 114.6% to $68M since the same quarter in the previous year.
Finally, its free cash flow fell by 92.9% to $-779M since the same quarter in the previous year.
Based on the above factors, China Vered Financial Holding Corporation Limited gets an overall score of 3/5.
Sector | Financial Services |
---|---|
Industry | Asset Management |
Exchange | HK |
CurrencyCode | HKD |
ISIN | HK0000268943 |
Market Cap | 2B |
---|---|
PE Ratio | 4.6 |
Target Price | None |
Beta | 1.86 |
Dividend Yield | None |
China Vered Financial Holding Corporation Limited, an investment holding company, provides asset management, consultancy, financing, and securities advisory and brokerage services in Hong Kong, Mainland China, Japan, and Canada. The company also offers money lending services. The company was formerly known as China Minsheng Financial Holding Corporation Limited and changed its name to China Vered Financial Holding Corporation Limited in July 2020. China Vered Financial Holding Corporation Limited was incorporated in 1972 and is based in Wong Chuk Hang, Hong Kong.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 0245.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