In the second quarter of this year, the Constitutional Court of the Russian Federation made an important decision on the possibility of bringing CEOs of the LLCs excluded from the Unified State Register of Legal Entities of LLC as inactive legal entities to subsidiary liability for the debts of companies. However, this is possible only by the court order.
Subsidiary liability is liability for the debtor company if its property is insufficient to settle accounts with its creditors.
Currently, the legislation provides for the imposition of subsidiary liability on individuals or legal entities controlling the debtor for no longer than 3 years prior to appearance of the signs of bankruptcy in the company, and controlled (i.e., had the opportunity and right) decisions made in the company, entered into transactions on its behalf and determined their terms after the occurrence of signs of bankruptcy, before the bankruptcy petition was accepted by the court.
Recall that the procedure for bringing to subsidiary liability is enshrined in Art. 399 of the first part of the Civil Code of the Russian Federation.
In pursuance of the decision of the Constitutional Court of the Russian Federation, the legislative bodies will have to make appropriate changes to the laws in force.
According to the Information and Analytical system Globas over the past period of 2021, arbitration courts of all instances considered 54 bankruptcy cases of a debtor to be dissolved or absent debtor, which ended in satisfying claims for a total amount of more than 191 million RUB.
Information agency Credinform presents a review of activity trends of the largest Russian companies in the wood processing industry.
The largest companies in terms of annual revenue for the last reporting periods available in the state statistics bodies and the Federal Tax Service (2011 – 2020) engaged in wooden products manufacture (lumber, plywood, veneer, wooden containers and decking, prefabricated wooden constructions) (TOP 1000) were selected for the analysis. Selection and analysis of companies were carried out based on data from the Information and Analytical system Globas.
The largest company in the TOP 1000 in terms of net assets is EGGER DREVPRODUKT GAGARIN LLC, INN 6723019741, Smolensk Region, production of plywood, wooden veneered panels and similar layered materials, wood slabs and other lignified materials. In 2020, net assets amounted to almost 25 billion rubles.
The smallest net asset value in the TOP 1000 is RIMBUNAN HIJAU MDF LLC, INN 2721143979, Khabarovsk Territory, logging. Property insufficiency in 2020 was expressed by a negative value of -16 billion RUB.
Covering the ten-year period, average net assets of the industry and their growth rates have an upward trend (Picture 1).
Shares of companies with property insufficiency in the TOP 1000 had a positive downward trend over the past five years (Picture 2).
The revenue of the top ten companies in 2020 amounted to 28% of the total revenue of the TOP 1000 companies. (Picture 3). This indicates a high level of competition in the industry.
During the ten-year period, average industry revenue values and their growth rates have been increasing year by year. (Picture 4).
Profit and loss
The largest company in the TOP 1000 in terms of net profit in 2020 is PALMIRA LLC, INN 7811085819, Saint Petersburg, production of wooden containers. The profit amounted to over 6 billion rubles.
Covering the ten-year period, average industry profit values tend to increase. (Picture 5).
Covering the five-year period, average values of net profit and net loss ratios of TOP 1000 companies tend to increase (Picture 6).
Key financial ratios
Covering the ten-year period, current liquidity ratio average values were in the range of recommended values - from 1.0 to 2.0, with a trend to decrease. (Picture 7).
For ten years, average industry indicators of the ROI showed an upward trend. (Picture 8).
Covering the ten years period, values of the said business activity ratio showed a trend to decrease (Picture 9).
84% of the TOP 1000 companies are registered in the Unified Register of Small and Medium-Sized Enterprises of the Federal Tax Service of the Russian Federation. At the same time, the share of their revenue in the total revenue of the TOP 1000 in 2020 is over 20%, which is the average for the country in 2018-2019. (Picture 10).
Main regions of activity
The TOP-1000 companies are registered in 69 regions (81% of the subjects of the Russian Federation) and are distributed unevenly across the country. Over 53% of the total revenue of the TOP 1000 companies in 2020 is concentrated in ten regions (Picture 11).
Financial position score
Financial position assessment of the TOP 1000 companies shows that the largest part of them is in average financial position. (Picture 12).
Globas Solvency Globas
The largest part of the TOP 1000 companies has been assigned superior and high Globas Solvency Index. This indicates their ability to fully meet their debt obligations (Picture 13).
A comprehensive assessment of activities of the largest companies in the wood processing industry indicates the predominance of positive trends in their activities in the period from 2011 to 2020. (Table 1).
|Trends and evaluation factors||Share of factor, %|
|Dynamics of average net assets value||10|
|Growth (decline) rate in average size of net assets||10|
|Increase / decrease in share of enterprises with negative values of net assets||10|
|Level of monopolization / competition||5|
|Dynamics of average revenue||10|
|Growth (decline) rate in average size of revenue||10|
|Dynamics of average profit (loss)||5|
|Increase / decline in average values of net profit||10|
|Increase / decline in average values of net loss||-10|
|Increase / decrease in average values of current liquidity ratio||-5|
|Increase / decrease in average values of return on investment ratio||10|
|Increase / decrease in average values of asset turnover ratio, times||-10|
|The share of small and medium-sized enterprises in revenue is more than 20%||10|
|Financial position (the largest share)||5|
|Globas Solvency Index (the largest share)||10|
|Average value of factors share||4,4|
positive trend (factor), negative trend (factor)