-
1 Comment
Action S.A. is currently in a long term uptrend where the price is trading 33.6% above its 200 day moving average.
Action S.A.'s total revenue rose by 14.2% to $465M since the same quarter in the previous year.
Its net income has increased by 262.9% to $7M since the same quarter in the previous year.
Finally, its free cash flow grew by 193.8% to $1M since the same quarter in the previous year.
Based on the above factors, Action S.A. gets an overall score of 4/5.
| Exchange | WAR |
|---|---|
| CurrencyCode | PLN |
| ISIN | PLACTIN00018 |
| Sector | Technology |
| Industry | Computer Hardware |
| Market Cap | 318M |
|---|---|
| PE Ratio | 9.47 |
| Target Price | None |
| Beta | 1.04 |
| Dividend Yield | None |
Action S.A., together with its subsidiaries, engages in the wholesale trade of computer accessories in Poland and internationally. The company provides distribution solutions in IT, network installations, ICT, photovoltaics, smart home, CCTV, and emergency power supply. It also operates e-commerce platform, such as bron.pl, 1.pl, sferis.pl, krakvet.pl, gram.pl, and tablety.pl. In addition, the company distributes home and office items, such as furniture, lighting, textiles, as well as home and outdoor training equipment; and computer equipment, inks, toners, lighting, power supply equipment, fans and air conditioners, shredders, photo paper, accessories, and cleaning products. Further, it offers its products under the Activejet, Actina, and Actis brands. Action S.A. was founded in 1991 and is headquartered in Piaseczno, Poland.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for ACT.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
