-
1 Comment
Huludao Zinc Industry Co.,Ltd is currently in a long term downtrend where the price is trading 1.5% below its 200 day moving average.
From a valuation standpoint, the stock is 82.6% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 0.7.
Huludao Zinc Industry Co.,Ltd's total revenue sank by 14.5% to $2B since the same quarter in the previous year.
Its net income has increased by 41.1% to $96M since the same quarter in the previous year.
Finally, its free cash flow grew by 61.3% to $223M since the same quarter in the previous year.
Based on the above factors, Huludao Zinc Industry Co.,Ltd gets an overall score of 3/5.
| Exchange | SHE |
|---|---|
| CurrencyCode | CNY |
| ISIN | CNE0000004X6 |
| Sector | Basic Materials |
| Industry | Other Industrial Metals & Mining |
| Dividend Yield | 1.0% |
|---|---|
| Beta | 0.93 |
| PE Ratio | 97.67 |
| Target Price | 3.5 |
| Market Cap | 5B |
Huludao Zinc Industry Co.,Ltd. engages in the non-ferrous metal zinc and lead smelting products primarily in China. The company is involved in the zinc, copper, and lead smelting and deep processing; and cadmium, indium, sulfuric acid, and copper sulfate utilization processing activities. It also provides zinc ingot, electric lead, high purity, silver bullion, hot dip galvanized, zinc sulfate, gold products, etc. The company's products are used in the metallurgy, machinery, electronics, medicine, chemical, military, and other industries. It also exports its products to approximately 20 countries and regions. The company was founded in 1993 and is based in Huludao, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 000751.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
