Theoretical and methodological aspects of financial results statistics: issues and solutions

Relevance of the Study. The relevance of the research is determined by the necessity to improve the statistical analysis of enterprises’ financial results under conditions of economic instability, increasing competition, and business process digitalization. Net financial result serves as a key indicator of performance efficiency; however, the existing practice of its analysis is characterized by fragmentation and the absence of unified methodological approaches. Insufficient data quality and completeness, standardization issues, and the limited use of modern analytical tools reduce the reliability and predictive value of statistics. At the same time, the integration of digital technologies and harmonization with international standards create opportunities to enhance the objectivity and accuracy of financial performance assessment. This forms the basis for developing a modern system of statistical monitoring that will ensure more well–grounded managerial decisions and contribute to strengthening enterprises’ financial stability.
Research Objective. The purpose of the study is to summarize and systematize the theoretical and methodological foundations of statistical analysis of enterprises’ financial results, to identify the main problems of its practical application under economic instability and digitalization, and to substantiate directions for methodological improvement considering international financial reporting standards and the needs of financial information users.
Research Methods. The study applies methods of statistical observation, generalization, grouping, comparison, analogy, induction, and deduction.
Research Results. Based on the generalization of scientific approaches of domestic and foreign scholars, the evolution of the methodology of statistical analysis is revealed, while its modern trends and problem areas are outlined. Particular attention is paid to the adaptation of classical statistical methods to the conditions of economic instability and digitalization, specifically through the use of software–analytical tools for the automation of financial data processing. It is established that a significant share of studies focuses on individual elements of analysis, whereas comprehensive works that integrate theoretical foundations of statistics, international financial reporting standards, and applied analytical tools remain insufficient. Approaches to the unification of financial–statistical analysis methodologies in the context of international practice are examined, and the factors limiting their effectiveness at the national level are identified.
Conceptual directions for improving the statistics of financial results are proposed, including the harmonization of methodological procedures, expansion of the information base for analysis, enhancement of data representativeness, and implementation of digital technologies for analytical processing.
Practical Implications. The results obtained can be used as a methodological foundation for further scientific research as well as in the practical activities of enterprises to improve the validity of managerial decisions aimed at enhancing financial efficiency and competitiveness.
Conclusions. The article investigates the theoretical and methodological aspects of the statistics of enterprises’ financial results, identifies the main problems, and substantiates directions for their resolution. It emphasizes that statistical analysis of financial results is a key tool for assessing the efficiency of business activities and making well–grounded managerial decisions.