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.
Building similarity graph...
Analyzing shared references across papers
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Maria Marakueva
Polina Popova
Data in Brief
Lomonosov Moscow State University
National Research University Higher School of Economics
Building similarity graph...
Analyzing shared references across papers
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Marakueva et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69a75c91c6e9836116a258ba — DOI: https://doi.org/10.1016/j.dib.2026.112508