-
1 Comment
Erbud S.A. is currently in a long term uptrend where the price is trading 137.1% above its 200 day moving average.
Erbud S.A.'s total revenue sank by 11.5% to $522M since the same quarter in the previous year.
Its net income has increased by 92.5% to $22M since the same quarter in the previous year.
Finally, its free cash flow grew by 152.1% to $59M since the same quarter in the previous year.
Based on the above factors, Erbud S.A. gets an overall score of 3/5.
Exchange | WAR |
---|---|
CurrencyCode | PLN |
ISIN | PLERBUD00012 |
Sector | Industrials |
Industry | Engineering & Construction |
Beta | 1.15 |
---|---|
Dividend Yield | 4.3% |
Market Cap | 455M |
PE Ratio | None |
Target Price | 47 |
Erbud S.A., together with its subsidiaries, engages in the construction business in Poland and internationally. It constructs hotels, office buildings, schools, housing, shopping centers, hospitals, apartments, public utility facilities, and industrial facilities. The company engages in designing and construction of renewable energy, including solar and wind farm; and offers operation and maintenance services. In addition, it offers road engineering and renewable energy sources, engineering services, and support services; management services; sports, entertainment, and leisure services; modular timber construction; consulting and design services; and maintenance services in the industrial construction. Additionally, the company engages in the development contracting activities in the renewable energy source business. The company was founded in 1990 and is based in Warsaw, Poland.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for ERB.WAR 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