-
| ISIN | LU2237380790 |
|---|---|
| Sector | Consumer Cyclical |
| Exchange | WAR |
| CurrencyCode | PLN |
| Industry | Internet Retail |
| Beta | 0.75 |
|---|---|
| Market Cap | 35B |
| PE Ratio | 32.64 |
| Target Price | 40.9267 |
| Dividend Yield | None |
Allegro.eu S.A. operates a commerce platform for consumers in Poland, Czech Republic, and internationally. It operates through Allegro, Ceneo, Mall, Allegro International, and Other segments. The company engages in operating B2C, C2C, and B2B e-commerce platforms comprising online marketplace; and various services, such as consumer lending and logistics services. It also provides multi-category price comparison services allowing the customer to find prices among the different websites and marketplaces. In addition, the is involved in e-commerce and logistics businesses and brands of Mall Group and WE|DO; and operates eBilet, an event ticket sales site. Further, it operates Allegro. pl, an online marketplace; Ceneo.pl, a price comparison platform; Mall Group, an e-commerce platform; and WE|DO that provides last mile distribution services. Additionally, the company engages in the provision of advertising, consumer lending to marketplace buyers, software and solutions for delivery logistics, and payment services; and other information technology and computer service, computer facilities management, and software-related activities. The company was formerly known as Adinan Super Topco S.a r.l. and changed its name to Allegro.eu S.A. in August 2020. The company was incorporated in 2017 and is based in Luxembourg, Luxembourg.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for ALE.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