Voloshchuk Lidiia, Doctor of Economic Sciences, Professor, Head of the Department of Accounting, Analysis and Audit, Odessа Polytechnic National University, Odesa, Ukraine

ORCID ID: 0000-0002-9692-7438
e-mail: voloschuk@op.edu.ua

Dubinina Maryna, Doctor of Sciences in Economics, Professor, Head of Department of Accounting and Taxation, Mykolayiv National Agrarian University, Mykolayiv, Ukraine

ORCID ID: 0000-0002-3993-0622
e-mail: dubinina@mnau.edu.ua

Cheban Yuliia, PhD in Economics, Associate Professor, Associate Professor of the Accounting and Taxation Department, Mykolayiv National Agrarian University, Mykolayiv, Ukraine

ORCID ID: 0000-0002-8231-2918
e-mail: heban@mnau.edu.ua

Syrtseva Svitlana, PhD in Economics, Associate Professor, Associate Professor of the Accounting and Taxation Department, Mykolayiv National Agrarian University, Mykolayiv, Ukraine

ORCID ID: 0000-0003-4824-3741
e-mail: sirceva@mnau.edu.ua

Luhova Olha, PhD in Economics, Associate Professor, Associate Professor of the Accounting and Taxation Department, Mykolayiv National Agrarian University, Mykolayiv, Ukraine

ORCID ID: 0000-0003-4432-0295
e-mail: lugova@mnau.edu.ua

Informational Relevance of Financial and Statistical Reporting for the Performance Analysis of Real Estate Agencies: Challenges and Improvement Directions

Abstract. Introduction. This article examines the relevance of financial and statistical reports in analyzing the performance of real estate agencies in dynamic and complex market environments. The article reveals critical discrepancies between standard reporting formats and the analytical needs of decision-makers. It emphasizes issues such as inadequate detail, a lack of segmentation by service type and client type, and insufficient integration with internal management systems.

Purpose. The study aims to enhance the informational value of reports by suggesting a multidimensional, automated approach to accounting and internal analytics. This approach involves integrating CRM and ERP systems, improving income segmentation, and incorporating KPI-driven dashboards to support strategic and operational decision-making in the real estate services industry.

Results. The research is based on industry analysis and case evaluations. It shows that current financial statements do not accurately reflect important performance indicators, such as revenue by client segment, income seasonality, and repeat customer activity. The paper proposes sub-accounting structures that distinguish between commission, consulting, and support service revenues. It also recommends introducing internal dashboards and comparative benchmarking. These changes would provide deeper insight into revenue structures, profitability drivers, and managerial performance. Although statistical data is potentially useful, it remains underutilized due to poor formatting standards and low system integration.

Conclusions. To ensure the informational relevance of financial and statistical reporting in real estate agencies, there must be a shift toward integrated, KPI-focused, digitally adaptive models. A reporting system that aligns with internal analytics, provides income breakdowns, and enables real-time performance monitoring improves decision quality, transparency, and competitiveness in an increasingly volatile market.

Keywords: financial reporting; statistical reporting; informational relevance; real estate agencies; revenue; accounting; analytical system.

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