The introduction of digital technologies into the national economy is intended to accelerate the implementation of exchanges that take place at all stages of manufacturing a particular type of product (service), starting with its production and ending with the sale to the end consumer, which can significantly increase the efficiency of performing tasks while saving time. When studying a number of scientific sources, the authors found that structured and unstructured data sets, as well as a set of approaches, methods and tools for collecting, storing, transferring and transforming them into a certain result (numerical, graphic, etc.) belong to the category Big data, which is one of the key digital technologies. Thus, it has been determined that a certain amount of information, as well as the methods of its processing with the help of software products directly on the computer (construction of economic and mathematical models, graphs, etc.) are a digital object. Profit is a key goal of the functioning of a commercial organization, and forecast plays a significant role both at the stage of initial business planning and in the framework of current activities, which enables the head to make management decisions in a timely manner and adjust the vector of his development. In this regard, the purpose of the study is to develop a digital model that makes it possible to predict the financial results of the activities of economic entities in the region. The authors proposed a digital predictive and analytical model for the functioning of agricultural organizations in the Saratov region, aimed at studying production and financial indicators in dynamics over 10 years, which is based on the method of constructing a polynomial trend line of the second degree and the equations of factors affecting profit (cost, price of a unit sold products, marketability level). The paper presents two versions of the forecast results, the first of which assumes the possibility of maintaining production volumes in the future, and the second takes into account potential changes in this indicator in future periods. In the framework of the study, standard formulas for the equation of the polynomial trend line of the second degree were used, while the role of the variable is played by the analysis period in conjunction with the forecast step. The results of the study are reflected both as a whole for agricultural organizations of the Saratov region, and on the example of individual economic entities of the region: “ZAO PZ Trudovoe”, “OOO Nashe Delo” (Marks district); “OOO Leto 2002”, “OOO Vozrozhdenie- 1” (Tatishchevo district).