-
1 Comment
Anhui Liuguo Chemical Co., Ltd is currently in a long term uptrend where the price is trading 21.3% above its 200 day moving average.
From a valuation standpoint, the stock is 87.5% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 0.5.
Anhui Liuguo Chemical Co., Ltd's total revenue rose by 19.1% to $1B since the same quarter in the previous year.
Its net income has increased by 107.1% to $19M since the same quarter in the previous year.
Finally, its free cash flow grew by 54.4% to $64M since the same quarter in the previous year.
Based on the above factors, Anhui Liuguo Chemical Co., Ltd gets an overall score of 5/5.
| Industry | Agricultural Inputs |
|---|---|
| Sector | Basic Materials |
| Exchange | SHG |
| CurrencyCode | CNY |
| ISIN | CNE000001GV7 |
| PE Ratio | None |
|---|---|
| Target Price | None |
| Beta | 0.54 |
| Market Cap | 3B |
| Dividend Yield | None |
Anhui Liuguo Chemical Co., Ltd., together with its subsidiaries, produces, processes, and sells fertilizers in China and internationally. The company offers nitrogen, phosphate, potash, blended, compound, organic, and microbial fertilizers. It also provides chemicals products, including refined phosphoric acid; chemical raw materials, fine phosphates, hydrogen peroxide, and phosphogypsum products; ammonia and liquid ammonia, bicarbonate, and methanol; and new building, ecological, and environmental materials. The company exports its products to South Korea, India, and Taiwan. Anhui Liuguo Chemical Co., Ltd. as founded in 1985 and is headquartered in Tongling, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600470.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
