-
1 Comment
Anshan Senyuan Road and Bridge Co., Ltd is currently in a long term downtrend where the price is trading 12.9% below its 200 day moving average.
From a valuation standpoint, the stock is 6.9% more expensive than other stocks from the Consumer Cyclical sector with a price to sales ratio of 5.5.
Anshan Senyuan Road and Bridge Co., Ltd's total revenue sank by 59.2% to $37M since the same quarter in the previous year.
Its net income has increased by 103.7% to $10M since the same quarter in the previous year.
Finally, its free cash flow grew by 122.7% to $14M since the same quarter in the previous year.
Based on the above factors, Anshan Senyuan Road and Bridge Co., Ltd gets an overall score of 2/5.
ISIN | CNE1000012F4 |
---|---|
Sector | Consumer Cyclical |
Industry | Auto Manufacturers |
Exchange | SHE |
CurrencyCode | CNY |
Market Cap | 4B |
---|---|
Target Price | None |
Beta | 0.98 |
PE Ratio | None |
Dividend Yield | None |
Anshan Senyuan Road and Bridge Co., Ltd. researches, develops, produces, and sells road maintenance equipment China. The company provides recycling, preventive maintenance, ice and snow removal, and 3D printing equipment. It also offers asphalt and cement mixing, asphalt old material recycling, stabilized soil mixing, filling, repair testing, municipal sanitation, and other maintenance equipment. The company provides its products for use in the fields of energy conservation, environment protection, and resource recycling. It also exports its products to approximately 20 countries and regions in Europe, Asia, and Africa. The company was founded in 1998 and is based in Anshan, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300210.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