Article
Trends in automobile manufacture

Information agency Credinform has prepared a review of trends of the largest Russian automotive companies.

The largest automotive companies (TOP-10 and TOP-1000) in terms of annual revenue were selected for the analysis according to the data from the Statistical Register for the latest available periods (2015-2017). The analysis was based on the data of the Information and Analytical system Globas.

Net assets are total assets less total liabilities. This indicator reflects the real value of the property of an enterprise. When the company’s debt exceeds the value of its property, the indicator is considered negative (insufficiency of property).

Table 1. The largest automotive companies with the highest and lowest net assets volume, 2015 - 2017
Position in TOP-1000, Name, INN, region, activity Net assets value, billion RUB Solvency index Globas
2015 2016 2017
1 2 3 4 5
1 JSC KAMAZ
INN 1650032058 Republic of Tatarstan
Manufacture of cargo vehicles
41,6 up43,4 up45,5 192 High
2 LLC HYUNDAI MOTOR MANUFACTURING RUS
INN 7801463902 Saint Petersburg
Manufacture of motor vehicles
16,1 up22,0 up28,8 209 Strong
3 LLC VOLKSWAGEN GROUP RUS
INN 5042059767 Kaluga region
Manufacture of motor vehicles
22,2 down16,6 up21,9 237 Strong
4 JSC GAZ
INN 5200000046 Nizhniy Novgorod
Manufacture of other parts and accessories for motor vehicles
23,2 up23,7 down20,6 210 Strong
5 JSC RENAULT RUSSIA
INN 7709259743 Moscow
Manufacture of motor vehicles
18,7 down16,1 up19,2 219 Strong
996 JSC AVTOKRAN
INN 3731024644 Ivanovo region
Manufacture of special purpose vehicles
Process of being wound up since 08.06.2017
-1,0 down-2,6 down-3,0 600 Insufficient
997 JSC AUTOMOBILES AND MOTORS OF URAL
INN 6658169550 Sverdlovsk region
Manufacture of motor vehicles
Process of being wound up since 17.02.2012
-3,9 down-3,9 down-4,2 600 Insufficient
998 LLC FORD SOLLERS HOLDING
INN 1646021952 Republic of Tatarstan
Manufacture of motor vehicles
4,0 down-19,2 down-32,9 311 Adequate
999 JSC AVTOVAZ
INN 6320002223 Samara region
Manufacture of motor vehicles
-43,1 down-51,4 down-64,2 267 Medium
1000 JSC CHEBOKSARY AGGREGATE WORKS
INN 2126001687 Republic of Chuvashia
Manufacture of other parts and accessories for motor vehicles
Case of recognition of the company’s bankruptcy is considered
-2,0 down-6,8 down-105,4 550 Insufficient

Up — growth of indicator in comparison with prior period, Up — growth of indicator in comparison with prior period.

For the last 10 years, the average values of net assets showed the decreasing tendency (Picture 1).

Picture 1. Change in average net assets value in 2008 – 2017 Picture 1. Change in average net assets value in 2008 – 2017

The shares of TOP-1000 companies with insufficient property are on a relatively high level with the trend to decrease over the past three years (Picture 2).

Picture 2. Shares of companies with negative net assets value in TOP-1000, 2015 - 2017 Picture 2. Shares of companies with negative net assets value in TOP-1000, 2015 - 2017

Sales revenue
In 2017, total revenue of 10 largest companies in the industry was 58% of TOP-1000 total revenue (Picture 3). This testifies relatively high level of monopolization in the industry.

Picture 3. Shares of TOP-10 companies in TOP-1000 total profit for 2017 Picture 3. Shares of TOP-10 companies in TOP-1000 total profit for 2017

In general, there is a trend to decrease in industry average revenue over the past 10 years (Picture 4).

Picture 4. Change in industry average net profit in 2008-2017 Picture 4. Change in industry average net profit in 2008-2017

Profit and loss
In 2017, profit of 10 largest companies in the region amounted to 54% of TOP-1000 total profit (Picture 5).

Picture 5. Shares of TOP-10 companies in TOP-1000 total profit for 2017 Picture 5. Shares of TOP-10 companies in TOP-1000 total profit for 2017

For the last ten years, the industry average net profit values were mainly in the negative zone. Thus, the companies’ net loss values have the trend to decrease (Picture 6).

Picture 6. Change in industry average net profit (loss) in 2008-2017 Picture 6. Change in industry average net profit (loss) in 2008-2017

For the three-year period, the average net profit values of TOP-1000 companies increase with the average net loss value having the increasing trend (Picture 7).

Picture 7. Change in average profit and loss of ТОP-1000 in 2015 – 2017 Picture 7. Change in average profit and loss of ТОP-1000 in 2015 – 2017

Key financial ratios
For the last ten years, since 2014 the average values of the current liquidity ratio were above the recommended one - from 1,0 to 2,0 with a trend to decrease (Picture 8).

Current liquidity ratio (current assets to short-term liabilities) shows the sufficiency of company’s assets to repay on short-term liabilities.

Picture 8. Change in industry average values of current liquidity ratio in 2008 – 2017 Picture 8. Change in industry average values of current liquidity ratio in 2008 – 2017

For the last ten years, the average values of ROI ratio have the trend to decrease (Picture 9).

ROI ratio is calculated as net profit to sum of shareholders equity and long-term liabilities, and shows the return of equity involved in commercial activities and long-term borrowed funds.

Picture 9. Change in average values of ROI ratio in 2008 – 2017 Picture 9. Change in average values of ROI ratio in 2008 – 2017

Assets turnover ratio is the ratio of sales revenue and company’s average total assets for a period. It characterizes the effectiveness of using of all available resources, regardless the source of their attraction. The ratio shows how many times per year the full cycle of production and circulation is performed, generating the corresponding effect in the form of profit.

For the last ten years, business activity ratio demonstrated the increasing trend (Picture 10).

Picture 10. Change in average values of assets turnover ratio in 2008 – 2017 Picture 10. Change in average values of assets turnover ratio in 2008 – 2017

Production structure
The highest share in total revenue of TOP-1000 falls for companies with broad specialization in the manufacture of motor vehicles (Picture 11).

Picture 11. Distribution of activity types in total revenue of TOP-1000, % Picture 11. Distribution of activity types in total revenue of TOP-1000, %

71% companies of TOP-1000 are registered in the Register of small and medium-sized businesses of the Federal Tax Service of the Russian Federation. At the same time, their share in total revenue for 2017 amounted to only 5% that is much lower the national average (Picture 12).

Picture 12. Shares of small and medium-sized enterprises in TOP-1000, % Picture 12. Shares of small and medium-sized enterprises in TOP-1000, %

Main regions of activity
Companies of TOP-1000 are located across the country quite equally, taking into account the specifics of industry production. The companies are registered in 65 districts. The highest shares of revenue volume are concentrated in the Republic of Tatarstan, Saint Petersburg, Samara region and Kaluga region (Picture 13).

Picture 13. Distribution of TOP-1000 revenue by districts of Russia Picture 13. Distribution of TOP-1000 revenue by districts of Russia

Financial position score
Assessment of the financial position of TOP-1000 companies shows that the majority of them have average financial position (Picture 14).

Picture 14. Distribution of TOP-1000 companies by financial position score Picture 14. Distribution of TOP-1000 companies by financial position score

Solvency index Globas
Most of TOP-1000 companies got Superior / High and Strong / Medium index Globas. This fact shows their ability to meet their obligations fully (Picture 15).

Picture 15. Distribution of TOP-1000 companies by solvency index  Globas Distribution of TOP-1000 companies by solvency index Globas

Index of industrial production
According to the Federal State Statistics Service (Rosstat), during 12 months of 2018, the trend to decrease of industrial production indexes is observed (Picture 16). The average month-to-month figure WAS 101,7%.

Picture 16. Index of industrial production of vehicles and equipment in 2018, month-to-month (%) Picture 16. Index of industrial production of vehicles and equipment in 2018, month-to-month (%)

Conclusion
Complex assessment of activity of the largest automotive companies, taking into account the main indexes, financial ratios and indicators, demonstrates the prevalence of negative trends in the industry (Table 2).

Table 2. Positive and negative trends, evaluation factors
Trends and evaluation factors Relative share of factors, %
Rate of growth (decline) in the average size of net assets down-10
Increase / decrease in the share of enterprises with negative values of net assets up5
Rate of growth (decline) in the average size of revenue down-10
Concentration level of capital down-5
Rate of growth (decline) in the average size of profit (loss) down-10
Growth / decline in average values of companies’ net profit up10
Growth / decline in average values of companies’ net loss down-10
Increase / decrease in average values of total liquidity ratio down-5
Increase / decrease in average values of return on investment ratio down-10
Increase / decrease in average values of asset turnover ratio, times up10
Share of small and medium-sized businesses in the region in terms of revenue being more than 22% down-10
Regional concentration up5
Financial position (the largest share) up5
Solvency index Globas (the largest share) up10
Industrial production index down-5
Average value of relative share of factors down-2,0

Up — positive trend (factor), Up — negative trend (factor).

Article
Resale of extracts from the EGRN runs risk of fines

Fines, web-resources blocking, suspension of operation for legal entities and physical persons, reselling extracts from the Unified State Register of Immovable Property (EGRN) – such offers are included in the bill of the Federal Law, transmitted by the Ministry of Economic Development of Russia in March of 2019 for approval to the State Duma.

Relevance of a bill, according to the developers, is caused by large amount of web-sites, providing extracts from the EGRN, also for a fee. Therefore, public service, entrusted on the Federal service of State Registration, Cadastral Records and Cartography (Rosreestr), is provided by commercial organizations without quality control on the part of government department. Besides, the service is of high demand. Market volume of extracts from the EGRN is valued at 2,5 billion RUB.

It is provided by the bill to make amendments to the Administrative Offences Code and impose liability for creation, filling content, maintenance and usage of web-sites, disclosing data from the EGRN. Sanctions can make a considerable amount. For example, fine amount up to 600 thousand RUB is assumed for repeated violation.

If the bill will be adopted, amendments are expected to finish up to the end of 2019. According to the initiator of the bill, appliance of new norms let reduce risks of unauthorized access to the EGRN, because of which responsible users of public services are not able to get access to system resources and servers of Rosreestr.

Limitations referenced in the bill can not only affect «spoof-websites» of Rosreestr, but also cause change of application rules of this information for reliable distributors. Data from the Rosreestr are used by organizations, for those providing of extracts from the EGRN is not main activity, e.g. notaries, lawyers and other organizations, providing clients with extracts on commercial basis as related service.

Hopefully, reliable distributors of that service – professional information agencies will be assisted in access to the information, and data about legal entities and physical persons will be updated by important facts of real estate possession.

Public discussion of the bill will be finished on April 26, 2019.