-
1 Comment
WenYi Trinity Technology Co., Ltd is currently in a long term uptrend where the price is trading 9.9% above its 200 day moving average.
From a valuation standpoint, the stock is 23.0% cheaper than other stocks from the Industrials sector with a price to sales ratio of 3.9.
WenYi Trinity Technology Co., Ltd's total revenue rose by 17.1% to $81M since the same quarter in the previous year.
Its net income has increased by 218.7% to $5M since the same quarter in the previous year.
Finally, its free cash flow fell by 282.4% to $-23M since the same quarter in the previous year.
Based on the above factors, WenYi Trinity Technology Co., Ltd gets an overall score of 4/5.
| Exchange | SHG |
|---|---|
| CurrencyCode | CNY |
| ISIN | CNE0000019N5 |
| Sector | Industrials |
| Industry | Specialty Industrial Machinery |
| Market Cap | 5B |
|---|---|
| PE Ratio | 182.12 |
| Beta | -0.24 |
| Target Price | None |
| Dividend Yield | None |
WenYi Trinity Technology Co., Ltd researches and develops molds and equipment technology for the semiconductor and chemical building materials industries in China and internationally. The company provides semiconductor integrated circuits packaging molds and equipment, plastic profile extrusion molds and equipment, belt conveyor idler bearing housings, seals, etc. The company was formerly knowns as Tongling Zhongfa Sanjia Technology Co., Ltd. and changed its name to WenYi Trinity Technology Co., Ltd in 2011. WenYi Trinity Technology Co., Ltd was founded in 2000 and is based in Tongling, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600520.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
