-
1 Comment
Jiangsu Huaxin New Material Co.,Ltd is currently in a long term downtrend where the price is trading 4.6% below its 200 day moving average.
From a valuation standpoint, the stock is 32.0% more expensive than other stocks from the Basic Materials sector with a price to sales ratio of 5.3.
Jiangsu Huaxin New Material Co.,Ltd's total revenue sank by 21.3% to $62M since the same quarter in the previous year.
Its net income has dropped by 36.4% to $7M since the same quarter in the previous year.
Finally, its free cash flow grew by 4724.3% to $24M since the same quarter in the previous year.
Based on the above factors, Jiangsu Huaxin New Material Co.,Ltd gets an overall score of 1/5.
| Exchange | SHE |
|---|---|
| CurrencyCode | CNY |
| ISIN | CNE1000035B4 |
| Sector | Basic Materials |
| Industry | Specialty Chemicals |
| Target Price | None |
|---|---|
| Dividend Yield | 1.0% |
| Beta | 0.45 |
| Market Cap | 2B |
| PE Ratio | 39.38 |
Jiangsu Huaxin New Material Co.,Ltd. engages in the research and development, production, and sale of functional film materials in China and internationally. The company offers PETG and PVC films, PVC/ABS blends, PHA/PLA bio-degradable products, coated overlay products, digital printing materials, coated PVC products for etching antennas, medical films, PET and PC card materials, color PVC with white coating products, and color PVC series products. Its products are used in the finance, transportation, communication, social security, security, decoration, and cultural media fields. The company was founded in 1999 and is headquartered in Xinyi, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300717.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
