-
1 Comment
LFG Investment Holdings Limited is currently in a long term downtrend where the price is trading 1.5% below its 200 day moving average.
From a valuation standpoint, the stock is 91.9% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 1.2.
LFG Investment Holdings Limited's total revenue sank by 48.8% to $26M since the same quarter in the previous year.
Its net income has dropped by 36.2% to $4M since the same quarter in the previous year.
Finally, its free cash flow fell by 111.7% to $-7M since the same quarter in the previous year.
Based on the above factors, LFG Investment Holdings Limited gets an overall score of 1/5.
Industry | Capital Markets |
---|---|
Exchange | HK |
CurrencyCode | HKD |
ISIN | KYG5471A1094 |
Sector | Financial Services |
PE Ratio | None |
---|---|
Target Price | None |
Market Cap | 61M |
Beta | 0.72 |
Dividend Yield | None |
LFG Investment Holdings Limited, an investment holding company, operates as a financial services provider primarily in Hong Kong. The company offers corporate finance advisory services, including IPO sponsorship, financial and independent financial advisory, and compliance advisory services; securities and financing services, comprising placing and underwriting, securities dealing and brokerage, and security financing services; and margin financing servicing. It also provides asset management services. LFG Investment Holdings Limited was founded in 2015 and is headquartered in Central, Hong Kong. LFG Investment Holdings Limited is a subsidiary of Lego Financial Group Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 3938.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