-
1 Comment
Guangzhou Tinci Materials Technology Co., Ltd is currently in a long term uptrend where the price is trading 78.4% above its 200 day moving average.
From a valuation standpoint, the stock is 188.9% more expensive than other stocks from the Basic Materials sector with a price to sales ratio of 11.6.
Guangzhou Tinci Materials Technology Co., Ltd's total revenue rose by 80.1% to $1B since the same quarter in the previous year.
Its net income has increased by 119.7% to $14M since the same quarter in the previous year.
Finally, its free cash flow grew by 50.8% to $-12M since the same quarter in the previous year.
Based on the above factors, Guangzhou Tinci Materials Technology Co., Ltd gets an overall score of 4/5.
| CurrencyCode | CNY |
|---|---|
| ISIN | CNE100001RG4 |
| Sector | Basic Materials |
| Exchange | SHE |
| Industry | Specialty Chemicals |
| Dividend Yield | 1.7% |
|---|---|
| Market Cap | 33B |
| PE Ratio | 63.59 |
| Target Price | 22.4333 |
| Beta | 1.05 |
Guangzhou Tinci Materials Technology Co., Ltd. engages in the research, development, and sale of chemical materials in China. It provides personal care chemical products, including rheology, mild surfactant, silicone, sensory modifier, emulsifier, cationic conditioner, suspending stabilizer, natural methyl glucoside derivative, chelating agent, naturally derived preservative, and UV filter, as well as provides makeup and household care products. The company also offers lithium-ion battery electrolyte, electrolytes and additives, sodium -ion battery electrolyte, solid electrolyte, and cathode materials products; and specialty chemicals. Guangzhou Tinci Materials Technology Co., Ltd. was founded in 2000 and is based in Guangzhou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002709.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
