-
1 Comment
Shanghai Tongda Venture Capital Co., Ltd is currently in a long term uptrend where the price is trading 1.8% above its 200 day moving average.
From a valuation standpoint, the stock is 18.5% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 6.1.
Shanghai Tongda Venture Capital Co., Ltd's total revenue rose by 14071.2% to $73M since the same quarter in the previous year.
Its net income has increased by 647.6% to $8M since the same quarter in the previous year.
Finally, its free cash flow grew by 3034.3% to $139M since the same quarter in the previous year.
Based on the above factors, Shanghai Tongda Venture Capital Co., Ltd gets an overall score of 5/5.
| CurrencyCode | CNY |
|---|---|
| Exchange | SHG |
| Industry | Real Estate-Development |
| Sector | Real Estate |
| ISIN | CNE000000495 |
| Market Cap | 2B |
|---|---|
| Beta | 0.15 |
| Target Price | None |
| PE Ratio | 1288.0 |
| Dividend Yield | 0.0% |
Shanghai Tongda Venture Capital Co., Ltd. engages in the real estate development and leasing business in China. It is also involved in equity investment, capital market operation, asset trading, financial non-performing asset disposal, industrial investment, asset management, and agriculture business. In addition, the company offers various financial services, such as securities, futures, funds, insurance, and trust. The company was formerly known as Shanghai New Asia Fast Food Co., Ltd. The company was founded in 1991 and is based in Shanghai, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600647.SHG 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 2024
