-
1 Comment
Nanning Chemical Industry Co., Ltd is currently in a long term uptrend where the price is trading 6.9% above its 200 day moving average.
From a valuation standpoint, the stock is 50.2% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 2.0.
Nanning Chemical Industry Co., Ltd's total revenue rose by 13.5% to $196M since the same quarter in the previous year.
Its net income has increased by 231.3% to $2M since the same quarter in the previous year.
Finally, its free cash flow grew by 9378.6% to $204M since the same quarter in the previous year.
Based on the above factors, Nanning Chemical Industry Co., Ltd gets an overall score of 5/5.
ISIN | CNE0000013B3 |
---|---|
Exchange | SHG |
CurrencyCode | CNY |
Sector | Basic Materials |
Industry | Other Industrial Metals & Mining |
Market Cap | 13B |
---|---|
Target Price | 32 |
PE Ratio | 24.06 |
Beta | 0.28 |
Dividend Yield | None |
Guangxi Huaxi Nonferrous Metal Co.,Ltd trades in steel, bulk commodities, and other products in China. It provides professional and technical services, as well as highway and waterway engineering supervision services comprising design consultation, engineering supervision, test and inspection, bidding agency, and other businesses for construction projects in various fields, including highways, water transportation, municipal administration, and construction; and labor services. The company was formerly known as Nanning Chemical Industry Co., Ltd. Guangxi Huaxi Nonferrous Metal Co.,Ltd was founded in 1998 and is based in Nanning, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600301.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