-
1 Comment
Webuild S.p.A is currently in a long term uptrend where the price is trading 46.3% above its 200 day moving average.
From a valuation standpoint, the stock is 98.1% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.3.
Webuild S.p.A's total revenue sank by 0.0% to $1B since the same quarter in the previous year.
Its net income has dropped by 0.0% to $-43M since the same quarter in the previous year.
Finally, its free cash flow fell by 5271.7% to $-215M since the same quarter in the previous year.
Based on the above factors, Webuild S.p.A gets an overall score of 2/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | IT0003865570 |
Sector | Industrials |
Industry | Engineering & Construction |
Market Cap | 3B |
---|---|
PE Ratio | 15.75 |
Target Price | None |
Dividend Yield | 2.7% |
Beta | 1.17 |
Webuild S.p.A. operates in construction businesses worldwide. The company conceived designs, and builds infrastructure for the mobility, hydro energy, water, and green buildings. It also undertakes the construction of civil and industrial buildings, airports, stadiums, and hospitals, as well as roads and motorways, metros, railways, bridges and viaducts, ports, tunnels, and sea works. In addition, the company develops and builds drinking water, desalination and water treatment plants, hydraulic projects, drinking water, and irrigation water reservoirs. Further, it is involved in development of hydropower plants and pumped storage facilities. The company is headquartered in Lombardia, Italy.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for IPJ1.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