The study of company dynamics is increasingly influenced by the role that the analysis of cash flows assumes, as these play a central role both for the company’s economic performance and in predictive terms. However, the literature on the predictive capabilities of cash flows is scarce both in terms of number and depth of research, the samples that have so far been analyzed have limited dimensions. Taking advantage of the power and opportunities offered by digitization, which allows immediate access to data and information in ever greater quantities, our work has the aim of studying the relationships between cash flows (of different management areas) and the economic performance of the company using a complete sample of Italian listed digital firms in the 2008-2019 period with more solid statistical tools compared to previous studies. The choice of the database, to collect all the necessary balance sheet data, fell on Amadeus of the Bureau van Dijk platform, which already shows reclassified and easily comparable balance sheets. To assess whether our cash flow proxies could be strong predictors of future cash flow and, consequently, of business performance, we will use correlation analysis and multiple regression.