-
1 Comment
Construcciones y Auxiliar de Ferrocarriles, S.A is currently in a long term downtrend where the price is trading 2.1% below its 200 day moving average.
From a valuation standpoint, the stock is 96.8% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.5.
Construcciones y Auxiliar de Ferrocarriles, S.A's total revenue rose by 28.7% to $945M since the same quarter in the previous year.
Its net income has increased by 26.4% to $30M since the same quarter in the previous year.
Based on the above factors, Construcciones y Auxiliar de Ferrocarriles, S.A gets an overall score of 3/5.
| Exchange | F |
|---|---|
| CurrencyCode | EUR |
| ISIN | ES0121975009 |
| Sector | Industrials |
| Industry | Railroads |
| Beta | 0.84 |
|---|---|
| Market Cap | 2B |
| PE Ratio | 16.06 |
| Target Price | None |
| Dividend Yield | 0.0% |
Construcciones y Auxiliar de Ferrocarriles, S.A. develops and sells rail and bus transport solutions in Spain, rest of Europe, the United States, the Asia-Pacific, and internationally. The company offers trains, buses, components, signaling systems, and turnkey mobility solutions. It also provides rolling stock equipment and components; simulators; aeronautical and digital mobility solutions; and repairs and maintenance, engineering, and lease and marketing services. The company was formerly known as Compañía Auxiliar de Ferrocarriles S.A. and changed its name to Construcciones y Auxiliar de Ferrocarriles, S.A. in 1971. The company was incorporated in 1917 and is headquartered in Beasain, Spain.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for AXF1.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 2026
