-
1 Comment
Vulcan Materials Company is currently in a long term uptrend where the price is trading 8.9% above its 200 day moving average.
From a valuation standpoint, the stock is 98.2% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 4.5.
Vulcan Materials Company's total revenue sank by 0.9% to $1B since the same quarter in the previous year.
Its net income has dropped by 18.8% to $115M since the same quarter in the previous year.
Finally, its free cash flow fell by 23.6% to $199M since the same quarter in the previous year.
Based on the above factors, Vulcan Materials Company gets an overall score of 2/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | US9291601097 |
Sector | Basic Materials |
Industry | Building Materials |
Market Cap | 28B |
---|---|
PE Ratio | 35.61 |
Target Price | 204.11 |
Beta | 0.8 |
Dividend Yield | 0.8% |
Vulcan Materials Company produces and supplies construction aggregates in the United States. It operates through three segments: Aggregates, Asphalt, and Concrete. The company provides crushed stone, sand and gravel, sand, riprap and jetty stones, and other aggregates for use in construction and maintenance of highways, streets, and other public works, as well as in the construction of housing and commercial, industrial, and other nonresidential facilities; asphalt mix; asphalt construction paving services; and ready-mixed concrete products. The company was formerly known as Virginia Holdco, Inc. and changed its name to Vulcan Materials Company. Vulcan Materials Company was founded in 1909 and is headquartered in Birmingham, Alabama.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for VMC.F 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