-
1 Comment
Xinjiang Yilu Wanyuan Industrial Investment Holding Co., Ltd is currently in a long term uptrend where the price is trading 13.0% above its 200 day moving average.
From a valuation standpoint, the stock is 3845.3% more expensive than other stocks from the Industrials sector with a price to sales ratio of 199.7.
Xinjiang Yilu Wanyuan Industrial Investment Holding Co., Ltd's total revenue rose by 72.9% to $4M since the same quarter in the previous year.
Its net income has dropped by 186.0% to $-3M since the same quarter in the previous year.
Finally, its free cash flow fell by 98.2% to $18K since the same quarter in the previous year.
Based on the above factors, Xinjiang Yilu Wanyuan Industrial Investment Holding Co., Ltd gets an overall score of 2/5.
Exchange | SHG |
---|---|
CurrencyCode | CNY |
ISIN | CNE0000010F0 |
Sector | Industrials |
Industry | Building Products |
PE Ratio | None |
---|---|
Target Price | None |
Dividend Yield | 0.0% |
Beta | 0.09 |
Market Cap | 507M |
Xinjiang Yilu Wanyuan Industrial Investment Holding Co., Ltd researches, develops, produces, and sells sanitary ceramics products in China and internationally. It offers toilets and toilet seats; and hardware, shower, bathroom, and bathtub products. The company was formerly known as Guizhou Guochuang Energy Holding (Group) Co., Ltd. and changed its name to Xinjiang Yilu Wanyuan Industrial Investment Holding Co., Ltd in June 2015. Xinjiang Yilu Wanyuan Industrial Investment Holding Co., Ltd was founded in 1952 and is based in Guiyang, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600145.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