-
1 Comment
Wirtualna Polska Holding S.A. is currently in a long term uptrend where the price is trading 25.7% above its 200 day moving average.
Wirtualna Polska Holding S.A.'s total revenue rose by 15.2% to $218M since the same quarter in the previous year.
Its net income has increased by 48.7% to $39M since the same quarter in the previous year.
Finally, its free cash flow grew by 14.8% to $150M since the same quarter in the previous year.
Based on the above factors, Wirtualna Polska Holding S.A. gets an overall score of 4/5.
| Sector | Communication Services |
|---|---|
| Industry | Advertising Agencies |
| ISIN | PLWRTPL00027 |
| Exchange | WAR |
| CurrencyCode | PLN |
| Market Cap | 2B |
|---|---|
| Target Price | 82.21 |
| Dividend Yield | 0.0% |
| Beta | 0.24 |
| PE Ratio | None |
Wirtualna Polska Holding S.A., through its subsidiaries, engages in the media, advertising, and e-commerce businesses in Poland. The company operates tourism portals, comprising Wakacje.pl, nocowanie.pl, WAKACYJNY SWIAT, eazygo, PARKLOT.PL, and SZALLAS Group. It also provides financing for new cars through Totalmoney, Direct.Money.pl, Finansowy Supermarket, and Superauto.pl. In addition, the company sells home designs through the Homebook, Extradom, and Selsey platforms, as well as the Naturalnie platform. Further, it is involved in broadcasting services via the Telewizja WP and Multiplex 8 satellite platforms and offers e-mail services through WP Poczta and o2. Additionally, the company engages in online advertising. The company was founded in 1995 and is headquartered in Warsaw, Poland.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for WPL.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 2026
