Information agency Credinform has prepared a ranking of the largest Russian heat power companies. The largest enterprises (TOP-10) in terms of annual revenue were selected according to the data from the Statistical Register for the available periods (2016-2018). Then the companies were ranged by ROI ratio (Table 1). The analysis was based on the data from the Information and Analytical system Globas.
Return on investments (%) is the ratio of net profit (loss) and net assets value. It demonstrates the return level from each ruble, received from the investments. In other words it shows how many monetary units the company used to obtain one monetary unit of net profit. The ratio is used for the assessment of fund raising at interest.
In general, normative values for ROI ratio are not set as they are changing due to the industry in which company operates.
For the most full and fair opinion about the company’s financial position the whole set of financial indicators and ratios should be taken into account.
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Name, INN, region | Revenue, million RUB | Net profit (loss), million RUB | ROI ratio, % | Solvency index Globas | |||
2017 | 2018 | 2017 | 2018 | 2017 | 2018 | ||
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
NAO TEPLOENERGO INN 5257087027 Nizhny Novgorod region |
11426,19 | 12006,04 | 975,09 | 1060,66 | 43,28 | 31,68 | 211 Strong |
PJC Territorial Generation Company No.2 INN 7606053324 Yaroslavl region |
36382,36 | 36355,07 | 3012,16 | 3013,59 | 16,21 | 16,02 | 204 Strong |
Bashkir Heat Distribution System LLC INN 0277072661 Republic of Bashkortostan |
15322,09 | 16254,08 | 230,88 | 458,85 | 7,01 | 12,23 | 235 Strong |
NAO YAMALKOMMUNENERGO INN 8901025421 Yamalo - Nenets Autonomous Okrug |
12419,97 | 13001,33 | 738,99 | 218,06 | 31,13 | 9,23 | 278 Medium |
JSС MOSCOW INTEGRATED POWER COMPANY INN 7720518494 Moscow |
134982,07 | 152149,97 | 6093,14 | 11207,99 | 5,05 | 8,48 | 160 Superior |
JSC QUADRA - POWER GENERATION INN 6829012680 Tula region |
51390,85 | 53364,23 | 602,30 | 969,16 | 1,82 | 2,84 | 235 Strong |
GUP TEK SPB INN 7830001028 Saint Petersburg |
29565,93 | 30899,01 | 273,53 | 285,98 | 0,53 | 0,49 | 208 Strong |
NAO MURMANENERGOSBYT INN 5190907139 Murmansk region |
9441,59 | 10749,62 | -220,59 | 1,90 | -5,11 | 0,04 | 288 Medium |
JSC URAL DISTRICT HEATING COMPANY INN 7203203418 Tyumen region |
12461,15 | 10939,64 | 418,35 | -132,44 | 8,85 | -2,88 | 278 Medium |
NAO PTS INN 6315530348 Samara region |
9923,41 | 10376,44 | -1197,47 | -810,41 | 45,19 | -31,31 | 274 Medium |
Total for TOP-10 companies | 323315,60 | 346095,42 | 10926,38 | 16273,33 | |||
Average value for TOP-10 companies | 32331,56 | 34609,54 | 1092,64 | 1627,33 | 15,39 | 4,68 | |
Average industry value | 133,86 | 146,50 | -2,77 | -1,98 | -3,84 | -2,59 |
growth of indicator in comparison with prior period, decline of indicator in comparison with prior period.
In 2018, the average value of ROI ratio for TOP-10 companies is higher than average industry value. Four companies improved the results.
Within 10 years, the average industry indicators of ROI ratio are in the zone of negative values with the growing tendency. (Picture 2).
When identifying the level of social and economic development at international comparison of the countries, the universal indicator of GDP per capita is used. However, it is not always accurate. There are countries with low GDP per capita, and high life expectancy.
For example, life expectancy at birth in Cuba is 79,1 years, when in the USA it is 77,8 years. Cuba has high level of available medicine and education. Therefore, the wealth of the country does not always determine the quality of life of its inhabitants.
In this regard, Human Development Index as more objective indicator was developed.
Human Development Index (HDI) is a statistic composite index annually calculated under the United Nations Development Program. It is based on the following parameters: life expectancy at birth, duration of education and gross national income (GNI) per capita at purchasing power parity (PPP).
The index takes the values from 0 to 1 and ranks countries and their territories by four groups: countries with very high human development level (HDI exceeds 0,8), countries with high human development level (HDI from 0,7 to 0,8), countries with average human development level (HDI from 0,55 to 0,7), and countries with low human development level (HDI below 0,55).
In comparison for 2018, Russia’s HDI is 0,816, which corresponds to the very high human development level. In TOP-20 largest economies, our country is ranked 11th by HDI. Germany is the leader in this regard: at GNI (PPP) almost equal to the Russia’s one, Germany’s HDI is 0,936 (see Table 1).
Rank | Country | Human Development Index in 2018 | GNI (PPP), trillion dollars, 2019 | Rank by GNI | |
1 | Germany | VERY HIGH | 0,936 | 4 444 | 5 |
2 | Canada | 0,926 | 1 900 | 16 | |
3 | USA | 0,924 | 21 439 | 2 | |
4 | Great Britain | 0,922 | 3 131 | 9 | |
5 | Japan | 0,909 | 5 747 | 4 | |
6 | Republic of Korea | 0,903 | 2 320 | 14 | |
7 | France | 0,901 | 3 061 | 10 | |
8 | Spain | 0,891 | 1 941 | 15 | |
9 | Italy | 0,880 | 2 443 | 12 | |
10 | Saudi Arabia | 0,8533 | 1 899 | 17 | |
11 | Russia | 0,816 | 4 349 | 6 | |
12 | Iran | HIGH | 0,798 | 1 471 | 18 |
13 | Turkey | 0,791 | 2 347 | 13 | |
14 | Mexico | 0,774 | 2 628 | 11 | |
15 | Brazil | 0,759 | 3 456 | 8 | |
16 | Thailand | 0,755 | 1 383 | 20 | |
17 | China | 0,752 | 27 309 | 1 | |
18 | Egypt | AVERAGE | 0,696 | 1 391 | 19 |
19 | Indonesia | 0,694 | 3 737 | 7 | |
20 | India | 0,640 | 11 326 | 3 |
Source: International Monetary Fund, Human development report (UN), calculations by Credinform
Being the largest economy, China is ranked the 17th and is inferior to Russia and most of TOP-20 participants by HDI.
Despite being the third largest economy, India closes the ranking. The country have a long way to increase wellbeing of inhabitants and introduction of mass education.
Picture 1 demonstrates the dependence of GNI (PPP) on HDI.
The presented ranking method is being criticized because of formal approach and small number of indicators for calculation. It bears remembering the difference in access to data, while income level, education and life expectancy are one of the most universal indicators describing the societal development.