Activity trends of commercial educational organizations in Russia
Information agency Credinform presents a review of the activity trends of the largest commercial educational organizations in Russia.
The largest organizations rendering educational services (TOP-1000) in terms of annual revenue were selected for the analysis according to the data from the Statistical Register for the period of 2010 – 2019 years. The analysis was based on the data from the Information and Analytical system Globas.
The largest educational organization in term of net assets is ChU NOU MIEP, INN 5001009679, Moscow. In 2019, net assets value of the organization amounted to almost 3 billion RUB.
The lowest net assets value among TOP-1000 was recorded for OTS EF ENGLISH FIRST CIS, INN 7707082829, Moscow. In 2019, insufficiency of property of the organization was indicated in negative value of more than -2 billion RUB.
For the decade, the average net assets values of TOP-1000 had a trend to increase, with the positive growth rates (Picture 1).
The shares of TOP-1000 organizations with insufficient property were decreasing during last 6 years (Picture 2).
The revenue volume of ten leading organizations amounted to 21% of the total revenue of TOP-1000 organizations in 2019. (Picture 3).
In general, there was a trend to increase in revenue with increasing growth rates (Picture 4).
Profit and loss
The largest organization in term of net profit is MOSCOW UNIVERSITY OF FINANCE AND LAW MFUA, INN 7725082902, Moscow. The organization’s profit amounted to 337 billion RUB in 2019.
During the decade, the average profit figures of TOP-1000 companies had a trend to decrease (Picture 5).
For a six-year period, the average net profit figures of TOP-1000 organizations had a trend to increase with the increasing average net loss (Picture 6).
Key financial ratios
During the decade, the average values of the current liquidity ratio of TOP-1000 were in general within the recommended interval – from 1,0 to 2,0, with a trend to increase. (Picture 7).
During the decade, there was a general trend to decrease in the average ROI values (Picture 8).
During the decade, there was a trend to decrease of this ratio (Picture 9).
10% organizations of TOP-1000 are registered in the Register of small and medium-sized enterprises of the Federal Tax Service of the Russian Federation. However, their share in total revenue of TOP-1000 amounts to 5%, which is lower than the average country value in 2018 – 2019 (Picture 10).
Main regions of activity
TOP-1000 organizations are registered in 72 regions. Almost the half of the largest by the revenue volume organizations consolidate in Moscow. (Picture 11).
Financial position score
According to the assessment, the financial position of most of TOP-1000 companies is above average (Picture 12).
Complex assessment of activity of the largest educational organizations in Russia, taking into account the main indexes, financial ratios and indicators, demonstrates the prevalence of positive trends in 2010 - 2019 (Table 1).
|Trends and evaluation factors||Relative share of factor, %|
|Dynamics of the average net assets value||10|
|Rate of growth (decline) in the average size of net assets||10|
|Increase / decrease in the share of enterprises with negative values of net assets||10|
|Level of competition / monopolization||5|
|Dynamics of the average revenue||-10|
|Rate of growth (decline) in the average size of revenue||10|
|Dynamics of the average profit (loss)||-10|
|Growth / decline in average values of companies’ net profit||10|
|Growth / decline in average values of companies’ net loss||-10|
|Increase / decrease in average values of current liquidity ratio||10|
|Increase / decrease in average values of return on investment ratio||-10|
|Increase / decrease in average values of asset turnover ratio, times||-10|
|Share of small and medium-sized businesses in terms of revenue being more than 22%||-10|
|Financial position (the largest share)||10|
|Solvency index Globas (the largest share)||10|
|Average value of relative share of factors||0,9|
positive trend (factor), negative trend (factor).