-
1 Comment
Tianjin Hi-Tech Development Co.,Ltd is currently in a long term downtrend where the price is trading 1.9% below its 200 day moving average.
From a valuation standpoint, the stock is 23.0% cheaper than other stocks from the Industrials sector with a price to sales ratio of 3.9.
Tianjin Hi-Tech Development Co.,Ltd's total revenue rose by 79.5% to $122M since the same quarter in the previous year.
Its net income has dropped by 1524.8% to $-23M since the same quarter in the previous year.
Finally, its free cash flow grew by 66.0% to $-13M since the same quarter in the previous year.
Based on the above factors, Tianjin Hi-Tech Development Co.,Ltd gets an overall score of 3/5.
| Exchange | SHG |
|---|---|
| CurrencyCode | CNY |
| ISIN | CNE000000RD4 |
| Sector | Industrials |
| Industry | Conglomerates |
| Beta | 0.81 |
|---|---|
| PE Ratio | 47.78 |
| Target Price | None |
| Market Cap | 3B |
| Dividend Yield | None |
Tianjin Hi-Tech Development Co., Ltd. engages in the industrial real estate development and operation in China. The company is involved in the technology park development; science park operations; commodity sales; and industrial investment, incubation services, trade, and other businesses. It also engages in provision of consulting services; property management; and planning, building, managing, and operating various parks, including park planning and design, infrastructure construction, public service facilities construction, investment attraction, corporate services, etc. Tianjin Hi-Tech Development Co., Ltd. was founded in 1992 and is headquartered in Tianjin, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600082.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 2026
