Ranking
Countries worldwide in terms of balance of payments

The most important indicator characterizing the national development is the balance of payments (BoP). This is a statement that reflects all economic transactions made between residents and non-residents that took place during the reporting period.

The difference between the sum of economic transactions between residents of states forms the net balance of payments. An external surplus (BoP surplus) leads to an inflow of foreign currency into a country and an increase in foreign exchange reserves. By external imbalance (BoP deficit), the Central Bank reduces its foreign exchange reserves. In other words, BoP deficit points to unprofitability of a state on a world stage as a whole: the country spends more than it earns.

The data in the balance of payments are grouped into three accounts: current account, capital account and financial account. The current account is the most significant indicator because it reflects the real economy, and not speculation in capital.

The current account includes the following: flow of goods, services (export and import), taxes, interstate transfers, personal transfers, payment for labour, investment incomes, rent, capital transfers between residents and non-residents (grants, inheritance).

According to the results of Q1-Q3 of 2018, Germany demonstrates the maximum external surplus on the current account: 224,2 billion USD. Japan takes the second place with 151,2 billion USD. Russia is the third with an indicator of 76,1 billion USD.

If we take the average annual current account balance for the past 10 years, then the unique situation is in China: the average current account balance amounted to 230,9 billion USD (the 2nd place in the world) in 2007-2017. In 2018 it became less than zero for the first time, that is explained by the negative balance of labour expense, investment incomes and rent between residents and non-residents. This phenomenon may indicate the beginning of the migration of labor resources and savings from the PRC. If the trend is steady or not, the near future will show.

Table 1. Top-10 countries of the world and China with the largest BoP on the current account for Q1-Q3 of 2018
Country BoP on the current account for Q1-Q3 of 2018, billion USD Average annual BoP on the current account for 2007-2017, billion USD
1 Germany 224,2 251,6
2 Japan 151,2 130,7
3 Russia 76,1 60,7
4 Netherlands 68,9 68,2
5 Saudi Arabia 57,9 68,2
6 Republic of Korea 57,7 58,4
7 Switzerland 57,1 59,0
8 Singapore 50,5 51,1
9 Italy 36,0 -6,5
10 Ireland 34,4 9,2
  China -6,9 230,9

Source: IMF, calculations of Credinform

The United States leads the ranking of countries with the largest negative current account balance. For Q1-Q3 of 2018 the value reached an impressive volume -350,7 billion USD, and the average figure for the last 10 years - 436,1 billion USD. The state is chronically unprofitable.

Table 2. Top 10 countries in the world with the smallest BoP on the current account for Q1-Q3 of 2018
Country BoP on the current account for Q1-Q3 of 2018, billion USD Average annual BoP on the current account for 2007-2017, billion USD
1 USA -350,7 -436,1
2 Great Britain -50,2 -111,5
3 India -48,1 -41,5
4 Canada -37,7 -46,5
5 Turkey -29,9 -43,8
6 Argentina -25,8 -8,3
7 Australia -24,6 -48,0
8 Indonesia -22,4 -11,5
9 France -19,3 -23,8
10 Mexico -17,0 -19,0

Source: IMF, calculations of Credinform

In Russia, for all time of observations, the current account was negative or became zero only in 1997-1998 (s. Picture 1).

Picture 1. Dynamics of the balance of payments of Russia on the current account Picture 1. Dynamics of the balance of payments of Russia on the current account
Article
Trends in the work of Irkutsk companies

Information agency Credinform represents an overview of activity trends of the largest companies in the real sector of the economy of Irkutsk region.

The enterprises with the largest volume of annual revenue of the real sector of the economy in Irkutsk region (TOP-1000) were selected for the analysis, according to the data from the Statistical Register for the latest available periods (for 2012-2017). The analysis was made on the basis of the data of the Information and Analytical system Globas.

Net assets is an indicator, reflecting the real value of the property of an enterprise. It is calculated annually as the difference between assets on the balance sheet of the enterprise and its debt obligations. The indicator of net assets is considered negative (insufficiency of property), if company’s debt exceeds the value of its property.

Table 1. The largest companies of the real sector of economy in Irkutsk region with the largest and smallest net assets in 2013 – 2017
№, Name, INN, type of activity Net assets value, bln RUB Solvency index Globas
2013 2014 2015 2016 2017
1 2 3 4 5 6 7
1 TRANSNEFT – VOSTOK LLC
INN 3801079671
Oil transportation via pipelines
up295,84 up368,11 up386,58 up402,83 up428,54 199 High
2 IRKUTSKAYA NEFTYANAYA KOMPANIYA LLC
INN 3808066311
Extraction of crude oil
up38,01 up49,65 up83,64 up127,14 up168,81 166 Superior
3 IRKUTSK JOINT STOCK COMPANY OF ENERGETICS AND ELECTRIFICATION
INN 3800000220
Power generation
up88,22 up96,81 up106,97 up123,81 up146,50 160 Superior
4 VERKHNECHONSKNEFTEGAZ NJSC
INN 3808079367
Extraction of crude oil
up127,38 up179,18 up225,70 down102,78 up105,08 224 Strong
5 IRKUTSK ELECTRONETWORK COMPANY PJSC
INN 3812122706
Power transmission and technological connection to distribution grids
up40,17 down40,14 down39,61 down38,86 down38,51 274 Medium
996 SIBEXPORTLES-TRADE LLC
INN 3811100530
Wholesale of wood raw materials and raw timber
Process of being wound up, 31.05.2018
down0,01 down-0,14 down-0,47 up-0,35 down-0,38 600 Insufficient
997 KRESTA LLC
INN 3811021960
Construction of residential and non-residential buildings
Process of being wound up, 12.10.2017
up0,02 up0,02 up0,02 up0,04 down-0,51 600 Insufficient
998 BAIKAL SUBURBAN PASSENGER COMPANY NJSC
INN 3808218300
Activity of railway transport: intercity and international passenger traffic
down-0,53 down-0,72 up-0,68 up-0,65 up-0,61 244 Strong
999 SAWING AND WOODWORKING ENTERPRISE IGIRMA NJSC
INN 3811113307
Sawing and planing of wood
Process of being wound up, 21.05.2018
down-3,42 down-3,95 down-4,41 up-2,95 down-3,16 600 Insufficient
1000 TRANS-SIBERIAN FOREST COMPANY LTD
INN 3808119644
Sawing and planing of wood
Process of being wound up, 18.05.2018
down-4,74 down-7,61 down-10,85 up-10,61 up-10,16 600 Insufficient

Up — growth of the indicator to the previous period, Up — decline of the indicator to the previous period.

The average values of net assets of TOP-1000 enterprises tend to increase over the five-year period (Picture 1).

Picture 1. Change in the average indicators of the net asset value of TOP-1000 enterprises in 2013 – 2017 Picture 1. Change in the average indicators of the net asset value of TOP-1000 enterprises in 2013 – 2017

The shares of TOP-1000 enterprises with insufficiency of assets have a tendency to increase in the last five years (Picture 2).

Picture 2. Shares of enterprises with negative values of net assets in TOP-1000 Picture 2. Shares of enterprises with negative values of net assets in TOP-1000

Sales revenue
The revenue volume of 10 leading companies of the region made 49% of the total revenue of TOP-1000 in 2017. (Picture 3). It points to a high level of concentration of production in the Irkutsk region.

Picture 3. Shares of participation of TOP-10 companies in the total revenue of TOP-1000 enterprises for 2017 Picture 3. Shares of participation of TOP-10 companies in the total revenue of TOP-1000 enterprises for 2017

In general, there is a trend towards an increase in revenue volume (Picture 4).

Picture 4. Change in the average revenue of TOP-100 enterprises in 2013 – 2017 Picture 4. Change in the average revenue of TOP-100 enterprises in 2013 – 2017

Profit and losses
The net profit volume of 10 industry leaders of the region made 85% of the total profit of TOP-1000 companies in 2017 (Picture 5).

Picture 5. Shares of participation of TOP-10 companies in the total volume of profit of TOP-1000 enterprises for 2017 Picture 5. Shares of participation of TOP-10 companies in the total volume of profit of TOP-1000 enterprises for 2017

In general, the average profit of TOP-1000 enterprises trends to increase over the five-year period (Picture 6).

Picture 6. Change in the average values of net profit of TOP-1000 enterprises in 2013 – 2017 Picture 6. Change in the average values of net profit of TOP-1000 enterprises in 2013 – 2017

Average values of net profit’s indicators of TOP-1000 companies increase for the five-year period, at the same time the average value of net loss decreases. (Picture 7).

Picture 7. Change in the average values of indicators of net profit and net loss of TOP-1000 companies in 2013 – 2017 Picture 7. Change in the average values of indicators of net profit and net loss of TOP-1000 companies in 2013 – 2017

Key financial ratios
Over the five-year period the average indicators of the total liquidity ratio of TOP-1000 enterprises were above the range of recommended values - from 1,0 up to 2,0, with a tendency to increase (Picture 8).

The total liquidity ratio (the relation of the amount of current assets to short-term liabilities) shows the sufficiency of company’s funds for repayment of its short-term liabilities.

Picture 8. Change in the average values of the total liquidity ratio of TOP-1000 enterprises in 2013 – 2017 Picture 8. Change in the average values of the total liquidity ratio of TOP-1000 enterprises in 2013 – 2017

There has been a high level of average values of the return on investment ratio for five years, with a tendency to decrease (Picture 9).

The ratio is calculated as the relation of net profit to the sum of own capital and long-term liabilities and demonstrates the return on the equity of own capital involved in the commercial activity and the long-term borrowed funds of an organization.

Picture 9. Change in the average values of the return on investment ratio of TOP-1000 enterprises in 2013 – 2017 Picture 9. Change in the average values of the return on investment ratio of TOP-1000 enterprises in 2013 – 2017

Asset turnover ratio is calculated as the relation of sales proceeds to the average value of total assets for a period and characterizes the efficiency of use of all available resources, regardless of the sources of their attraction. The ratio shows how many times a year a complete cycle of production and circulation is made, yielding profit.

This ratio of business activity showed a tendency to decrease over the five-year period (Picture 10).

Picture 10. Change in the average values of the asset turnover ratio of TOP-1000 enterprises in 2013 – 2017 Picture 10. Change in the average values of the asset turnover ratio of TOP-1000 enterprises in 2013 – 2017

Production and service structure
The largest shares in the total revenue of TOP-1000 are owned by companies, specializing in the extraction of crude oil and natural gas, as well as wholesale companies (Picture 11).

Picture 11. Distribution of types of activity in the total revenue of TOP-1000 companies Picture 11. Distribution of types of activity in the total revenue of TOP-1000 companies

74% of TOP-1000 companies are registered in the Register of small and medium-sized businesses of the Federal Tax Service of the RF. At the same time, their share in the total revenue of TOP-1000 enterprises amounted to 15,3% (Picture 12).

Picture 12. Shares of proceeds of small and medium-sized businesses in TOP-1000 companies Picture 12. Shares of proceeds of small and medium-sized businesses in TOP-1000 companies

Main regions of activity
The TOP-1000 companies are distributed unequal across Irkutsk region and registered in 30 districts and inhabited localities. 80% of the largest enterprises in terms of revenue are concentrated in the regional center - in Irkutsk and in Bratsk region (Picture 13).

Picture 13. Distribution of the revenue of TOP-1000 companies by regions of Irkutsk region Picture 13. Distribution of the revenue of TOP-1000 companies by regions of Irkutsk region

Financial position score
An assessment of the financial position of TOP-1000 companies shows that more than half of them are in a stable financial position and above average (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
Vast majority of TOP-1000 companies got Superior/High or Strong/Medium Solvency index Globas, that points to their ability to pay off their debts in time and fully (Picture 15).

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

Industrial production index
According to the Federal Service of State Statistics, there is a tendency towards an increase in indicators of the industrial production index in Irkutsk region during 12 months of 2018. (Picture 16).

Picture 16. Industrial production index in Irkutsk region in 2017 – 2018, month to month (%) Picture 16. Industrial production index in Irkutsk region in 2017 – 2018, month to month (%)

According to the same information, the share of enterprises of Irkutsk region in the amount of revenue from the sale of goods, works, services made 1,03% countrywide for 9 months of 2018.

Conclusion
A comprehensive assessment of activity of the largest companies in the real sector of the economy of Irkutsk region, taking into account the main indices, financial indicators and ratios, points to the prevalence of positive trends (Table 2).

Table 2. Positive and negative trends, evaluation factors of TOP-1000 companies
Trends and evaluation factors of TOP-1000 enterprise Specific share of factor, %
Rate of growth (decline) in the average size of net assets up10
Increase / decrease in the share of enterprises with negative values of net assets down-10
Concentration level of capital down-10
Rate of growth (decline) in the average size of revenue up10
Rate of growth (decline) in the average size of profit (loss) up10
Growth / decline in average values of companies’ net profit up10
Growth / decline in average values of companies’ net loss up10
Increase / decrease in average values of total liquidity ratio up10
Increase / decrease in average values of return on investment ratio down-5
Increase / decrease in average values of asset turnover ratio, times down-10
Share of small and medium-sized businesses in the region in terms of revenue being more than 22% down-10
Regional concentration down-10
Financial position (the largest share) up10
Solvency index Globas (the largest share) up10
Industrial production index up5
Average value of the specific share of factors up2,0

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