-
1 Comment
Shandong Jinjing Science and Technology Stock Co., Ltd is currently in a long term uptrend where the price is trading 46.3% above its 200 day moving average.
From a valuation standpoint, the stock is 55.2% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 1.8.
Shandong Jinjing Science and Technology Stock Co., Ltd's total revenue sank by 2.2% to $1B since the same quarter in the previous year.
Its net income has increased by 350.1% to $107M since the same quarter in the previous year.
Finally, its free cash flow fell by 556.6% to $-224M since the same quarter in the previous year.
Based on the above factors, Shandong Jinjing Science and Technology Stock Co., Ltd gets an overall score of 3/5.
Exchange | SHG |
---|---|
CurrencyCode | CNY |
Industry | Specialty Chemicals |
ISIN | CNE000001C57 |
Sector | Basic Materials |
Market Cap | 7B |
---|---|
PE Ratio | 117.0 |
Target Price | 6.5 |
Beta | 1.39 |
Dividend Yield | None |
Shandong Jinjing Science & Technology Stock Co.,Ltd produces and sells glass products. The company offers ultra white glass, off-line coated glass, online coated glass, sun film glass, color glass, fire glass, automotive glass, low salt and heavy glass soda, light soda, baking soda and baking soda detergent, etc. It serves to construction, automotive, solar, industrial products, and other market segments. The company export its products to Europe, the United States, Japan, South Korea, Southeast Asia, Australia, the Middle East, and internationally. Shandong Jinjing Science & Technology Stock Co.,Ltd was founded in 1999 and is based in Zibo, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600586.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 2025