-
1 Comment
China Tangshang Holdings Limited is currently in a long term uptrend where the price is trading 2.9% above its 200 day moving average.
From a valuation standpoint, the stock is 60.7% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 2.3.
China Tangshang Holdings Limited's total revenue sank by 3.7% to $20M since the same quarter in the previous year.
Its net income has dropped by 97.7% to $-9M since the same quarter in the previous year.
Finally, its free cash flow grew by 118.5% to $3M since the same quarter in the previous year.
Based on the above factors, China Tangshang Holdings Limited gets an overall score of 3/5.
Sector | Real Estate |
---|---|
Industry | Real Estate Services |
Exchange | HK |
CurrencyCode | HKD |
ISIN | BMG2197S1008 |
Market Cap | 384M |
---|---|
PE Ratio | None |
Target Price | None |
Beta | 0.16 |
Dividend Yield | None |
China Tangshang Holdings Limited, an investment holding company, engages in the property investment, development, and sub-leasing activities in Hong Kong and the People's Republic of China. It operates through Property Sub-Leasing and Investment Business; Property Development Business; and Money Lending Business segments. The company develops real estate properties; and leases investment properties. It also provides loans to customers, including individuals and corporations. The company was formerly known as Culture Landmark Investment Limited and changed its name to China Tangshang Holdings Limited in August 2017. China Tangshang Holdings Limited was incorporated in 1990 and is headquartered in Tsim Sha Tsui, Hong Kong.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 0674.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