-
1 Comment
Tian Shan Development (Holding) Limited is currently in a long term downtrend where the price is trading 21.0% below its 200 day moving average.
From a valuation standpoint, the stock is 93.2% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 0.4.
Tian Shan Development (Holding) Limited's total revenue sank by 60.1% to $1B since the same quarter in the previous year.
Its net income has increased by 78.2% to $-22M since the same quarter in the previous year.
Finally, its free cash flow fell by 33.8% to $317M since the same quarter in the previous year.
Based on the above factors, Tian Shan Development (Holding) Limited gets an overall score of 2/5.
| Exchange | HK |
|---|---|
| CurrencyCode | HKD |
| ISIN | KYG887201187 |
| Sector | Real Estate |
| Industry | Real Estate - Development |
| Market Cap | 2B |
|---|---|
| Beta | -0.02 |
| PE Ratio | None |
| Target Price | None |
| Dividend Yield | None |
Tian Shan Development (Holding) Limited, an investment holding company, engages in the development and sale of real estate properties in the People's Republic of China. Its principal property projects include medium- to high-end villas, condominiums, duplexes, and residential units in multi-story buildings, as well as integrated projects for developing private industries by small and medium enterprises in the Bohai Economic Rim. The company offers its projects under the Tian Shan brand. The company was founded in 1998 and is headquartered in Shijiazhuang, the People's Republic of China. Tian Shan Development (Holding) Limited is a subsidiary of Neway Enterprises Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 2118.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
