-
1 Comment
HL Global Enterprises Limited is currently in a long term uptrend where the price is trading 12.3% above its 200 day moving average.
From a valuation standpoint, the stock is 133.3% more expensive than other stocks from the Consumer Cyclical sector with a price to sales ratio of 5.7.
HL Global Enterprises Limited's total revenue rose by 130.5% to $5M since the same quarter in the previous year.
Its net income has increased by 54.9% to $206K since the same quarter in the previous year.
Finally, its free cash flow fell by 51.2% to $222K since the same quarter in the previous year.
Based on the above factors, HL Global Enterprises Limited gets an overall score of 3/5.
Sector | Consumer Cyclical |
---|---|
Industry | Lodging |
Exchange | SG |
CurrencyCode | SGD |
ISIN | SG1AI6000003 |
Beta | 0.34 |
---|---|
Market Cap | 24M |
PE Ratio | 12.75 |
Target Price | None |
Dividend Yield | None |
HL Global Enterprises Limited, an investment holding company, engages in the hospitality operations and property development activities in Singapore, Malaysia, and the People's Republic of China. It operates in three segments: Investments and Others, Hospitality and Restaurant, and Property Development. The company operates and manages hotels and restaurants under the Copthorne Hotel Cameron Highlands and Hotel Equatorial Shanghai names; and develops, sells, and rents properties. It also provides property and development project management; and consultancy services. The company was formerly known as HLG Enterprise Limited and changed its name to HL Global Enterprises Limited in April 2008. HL Global Enterprises Limited was incorporated in 1961 and is based in Singapore.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for AVX.SG 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