-
1 Comment
Atlanta Poland S.A. is currently in a long term uptrend where the price is trading 9.1% above its 200 day moving average.
Atlanta Poland S.A.'s total revenue rose by 4.4% to $70M since the same quarter in the previous year.
Its net income has increased by 19.9% to $2M since the same quarter in the previous year.
Finally, its free cash flow grew by 1485.6% to $20M since the same quarter in the previous year.
Based on the above factors, Atlanta Poland S.A. gets an overall score of 4/5.
| Sector | Consumer Defensive |
|---|---|
| Industry | Food Distribution |
| ISIN | PLATLPL00018 |
| Exchange | WAR |
| CurrencyCode | PLN |
| Dividend Yield | 5.2% |
|---|---|
| Beta | 0.56 |
| PE Ratio | 6.07 |
| Target Price | None |
| Market Cap | 98M |
Atlanta Poland S.A. trades in and retails nuts and dried fruits for the confectionery and bakery industries in Poland. The company offers various nuts, such as peanuts, hazelnuts, almonds, walnuts, cashews, and pistachios; and dried fruits, including apricot, prunes, cranberries, raisins and sultanas, dried apples, dates, banana chips, chips and desiccated coconut, and candied fruits. It also provides grains and seeds comprising soya, popcorn, pumpkin seeds, sunflower kernels, flaxseeds, sesames, and poppy seeds. In addition, the company processes roasted nuts, peanut paste, and peanut flour, as well as Marzipan, a paste of sweet almonds grated with sugar. It markets its sweets and dried fruits under the Bakal and Kujawianka brands. Atlanta Poland S.A. was founded in 1990 and is based in Gdansk, Poland. Atlanta Poland S.A. is a subsidiary of Rockfield Holding AG.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for ATP.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
