Work

Quarterly financial statements Data for Russian firms

Year: 2026

Type: data-paper

Abstract: Our objective is to create the most comprehensive database of Russian firms with the highest data frequency. We created the unique comprehensive database of quarterly financial statements for Russian firms, covering the period from 2014 to 2024. The dataset is assembled from Federal Tax Service of Russia (FNS), SPARK Interfax, Cbonds, and the Moscow Exchange. It comprises over 100,000 firm-quarter observations from 4,568 companies, representing more than 30% of total corporate assets in Russia. The data have been standardized, industry (OKVED) and regional identifiers are included, along with firm characteristics such as registration codes and legal status. This dataset provides researchers with high-frequency financial information suitable for studying credit risk, corporate behavior, monetary policy transmission, and other microeconomic questions in the Russian context.

Source: Data in Brief

DOI: 10.1016/j.dib.2026.112508

Authors: Maria Marakueva, Polina Popova

Institutions: National Research University Higher School of Economics, Lomonosov Moscow State University

Language: English

Topic: Financial Analysis and Corporate Governance

Subfield: Accounting

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,220

Funder: National Research University Higher School of Economics