-
1 Comment
Kuangda Technology Group Co., Ltd is currently in a long term uptrend where the price is trading 45.1% above its 200 day moving average.
From a valuation standpoint, the stock is 37.8% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 3.2.
Kuangda Technology Group Co., Ltd's total revenue sank by 9.8% to $400M since the same quarter in the previous year.
Its net income has increased by 167.7% to $60M since the same quarter in the previous year.
Finally, its free cash flow fell by 0.0% to $85M since the same quarter in the previous year.
Based on the above factors, Kuangda Technology Group Co., Ltd gets an overall score of 3/5.
Exchange | SHE |
---|---|
CurrencyCode | CNY |
Sector | Consumer Cyclical |
Industry | Auto Parts |
ISIN | CNE100000X93 |
Beta | 0.7 |
---|---|
Market Cap | 7B |
PE Ratio | 42.91 |
Target Price | 8.25 |
Dividend Yield | None |
Kuangda Technology Group Co., Ltd., together with its subsidiaries, engages in the research, development, manufacture, and sale of interior fabrics for automobiles in China and internationally. The company operates through Automotive Supplies and Power Business segments. It also offers woven, warp knitted fabrics, weft knitted, and chemical fiber related products. In addition, the company provides seat cover, synthetic leather, and other materials, as well as involved in photovoltaic power generation business. Further, it offers microfiber suede, environmental polyester, and ecological synthetic leather material. The company was formerly known as Jiangsu Kuangda Automobile Textile Group Co., Ltd. and changed its name to Kuangda Technology Group Co., Ltd. in August 2015. Kuangda Technology Group Co., Ltd. was founded in 1993 and is based in Changzhou City, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002516.SHE 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