MACROECONOMIC ENVIRONMENT

GRI Disclosures:

The ORLEN Group operates in a changing macro environment.

The economic conditions in the ORLEN Group’s operating markets and global fuel prices are a major factor influencing the level of consumption of fuels and petrochemical products and their selling prices.

The primary indicator used to gauge the health of an economy is GDP, which, driven by consumption, investment and exports, helps to assess the state of the economy.

Changes in GDP are typically correlated with fluctuations in fuel consumption and unemployment rates.

GDPand fuel consumption

image/svg+xml Diesel oil Gasoline 2.2 2.6 1.3 0.6 (4.9) 2016 2017 2018 2019 2020 37.85 35.16 2019 2020 (7.1)% 17.97 16.22 2019 2020 (9.7)% GERMANY 2.5 5.2 3.2 2.3 (5.6) 2016 2017 2018 2019 2020 5.03 4.79 2019 2020 (4.7)% 1.62 1.47 2019 2020 (9.2)% CZECHIA Fuel consumptionmillion t GDP Growth% charge y/y 3.1 4.8 5.4 4.5 (2.7) 2016 2017 2018 2019 2020 17.43 16.88 2019 2020 (3.2)% 4.74 4.39 2019 2020 (7.3)% POLAND 2.5 4.3 3.9 4.3 (0.8) 2016 2017 2018 2019 2020 1.72 1.71 2019 2020 (0.6)% 0.25 0.25 2019 2020 (3.1)% LITHUANIA

Source: GDP based on EUROSTAT.
Consumption – prepared on the basis of in-house estimates, and data of Agencja Rynku Energii S.A., Lithuanian Statistical Office, Czech Statistical Office and German Petroleum Industry Association.

The prices of refinery and petrochemical products offered by the ORLEN Group are determined mainly by reference to commodity market prices expressed in foreign currencies.

The costs of key feedstocks, including crude oil, and debt servicing are also mostly expressed in foreign currencies, including USD and EUR.

Therefore, any fluctuations in the exchange rates of these currencies against the Polish złoty are a major driver of the ORLEN Group’s financial results.

image/svg+xml 2016 2017 2018 2019 2020 3.94 3.78 3.61 3.84 3.90 4.36 4.26 4.26 4.30 4.44 Average exchange rates PLN/EUR exchange rate PLN/USD exchange rate

Source: Based on the exchange rates set by the National Bank of Poland (NBP).

Among external factors typically bearing on the refinery and petrochemical industry, the following macroeconomic parameters are of key importance: oil price, Urals-Brent differential and spreads for refinery and petrochemical products offered by the ORLEN Group.

 

The primary feedstock used by the ORLEN Group is crude oil, whose prices fluctuate in response to changes in global demand and supply as well as changing geopolitical factors. As the sour crude accounts for some 76% of the ORLEN Group’s crude slate, the Urals-Brent differential has a significant impact on its operating results.

image/svg+xml Brent crude oil quotations [USD/bbl] 44 54 71 64 42 2015 2017 2018 2019 2020 2.5 1.4 1.5 0.8 0.6 2016 2017 2018 2019 2020 Urals/Brent differential [USD/bbl]

Source: In-house analysis.

The ORLEN Group’s operating performance strongly depends on differences between the market prices of petroleum products and the prices of oil and other necessary feedstocks (called crack spreads). The cost of feedstock and the selling prices of refined products for the ORLEN Group are dictated by many factors outside its control. These include:

  • movements in the supply of and demand for refined and petrochemical products;
  • expansion of global refining capacities;
  • changes in process-related operating costs (energy, utilities, maintenance);
  • changes in environmental and other legislation that could require the ORLEN Group to incur significant expenditure.

Crack spreads for refinery products (USD/t) and petrochemical products (EUR/t)

image/svg+xml 142 151 138 130 76 2016 2017 2018 2019 2020 gasoline 71 86 102 108 55 2016 2017 2018 2019 2020 diesel oil (125) (112) (146) (158) (96) 2016 2017 2018 2019 2020 heavy heating oil jet fuel 93 115 146 144 43 2016 2017 2018 2019 2020 in EUR / tonne in USD / tonne 507 370 280 300 355 2016 2017 2018 2019 2020 polyethylene 529 478 412 418 427 2016 2017 2018 2019 2020 polypropylene 610 653 641 571 518 2016 2017 2018 2019 2020 ethylene propylene 359 477 532 480 448 2016 2017 2018 2019 2020

Source: In-house analysis based on Platts and ICIS.

For general estimation of the impact of macro factors on the Group’s performance, the Model Downstream Margin is used, reflecting the structure of key inputs and key refinery and petrochemical products obtained from the inputs, calculated by reference to market prices.

image/svg+xml 11.7 12.8 12.2 10.7 7.3 2016 2017 2018 2019 2020 Model downstream margin [USD/bbl]

Downstream margin product slate– crack margins for key products

image/svg+xml Product 2020 2019 2018 2017 2016 Ethylene 518 571 641 653 610 Petrochemical products (EUR/t) Propylene 448 480 532 477 359 Benzene 147 184 261 398 296 Paraxylene 300 431 448 418 431 Gasoline 76 130 138 151 142 Diesel oil 55 108 102 86 71 Heavy fuel oil (96) (158) (146) (112) (125) SN 150 173 102 191 295 139 Refinery products (USD/t)

A Model Refining Margin and a Model Petrochemical Margin are also calculated for the Refining and Petrochemicals segments.

image/svg+xml 5.3 6.4 5.1 5.2 2.2 2016 2017 2018 2019 2020 Model refining margin [USD/bbl] 960 933 885 859 839 2016 2017 2018 2019 2020 Model petrochemical margin [EUR/t]

Source: In-house analysis based on Platts and ICIS.

Energy’s performance is strongly correlated with electricity prices and costs of natural gas, hard coal and emission allowances (EUAs).

image/svg+xml 68 82 105 69 53 2016 2017 2018 2019 2020 Natural gas prices [PLN/MWh] 160 158 223 230 209 2016 2017 2018 2019 2020 Electricity prices [PLN/MWh]

Source: Based on TGE data.

image/svg+xml 5.3 5.8 15.9 24.8 24.8 2016 2017 2018 2019 2020 Emission allowance prices [EUR/t] 8.77 9.22 10.95 11.99 11.92 2016 2017 2018 2019 2020 Coal prices including transport [EUR/t]

Source: Based on Bloomberg and Polish Coal Market data.

Performance in the Upstream segment is largely driven by the current Canadian Light Sweet (CLS) crude and AECO gas prices.

image/svg+xml 40 48 53 52 34 2016 2017 2018 2019 2020 CLS price [USD/bbl] 2.1 2.1 1.5 1.7 2.1 2016 2017 2018 2019 2020 AECO natural gas prices [CAD/GJ]

Source: In-house analysis based on Platts and ICIS.

Sensitivityanalysis

Analysis of sensitivity to changes in key macroeconomic parameters1 [PLN million]

Model Downstream Margin Change by (+/-) 1 USD/bbl Ural/Brent Differential Change by (+/-) 1 USD/bbl Model Petrochemical Margin Change by (+/-) 100 EUR/t Model Refining Margin Change by (+/-) 1 USD/bbl Wholesale Margin in Poland Change by (+/-) 1 USD/t Retail Margin in Poland Change by (+/-) 1 gr/l Impact of crude oil changes Change by (+/-) 10 USD/bbl Impact of crude oil price changes in Canada Change by (+/-) 5 CAD/bbl Impact of gas price changes in Canada Change by (+/-) 0.5 CAD/bbl (846) 846 (846) 846 (501) 501 (398) 398 (44) 44 (70) 70 (231) 231 (32) 32 (28) 28 Average yearly impact on consolidated EBITDA LIFO [PLN million]
  • Estimated effect of changes in the model downstream margin and model refining margin with the ORLEN Group’s processing capacity utilisation assumed at approximately 217 million barrels.
  • Estimated effect of changes in the Urals-Brent differential with the ORLEN Group’s Urals crude processing capacity utilisation assumed at approximately 129 million barrels.
  • Estimated effect of changes in the model petrochemical margin with the ORLEN Group’s sales of polymers assumed at 896 thousand tonnes (Unipetrol/498 thousand tonnes and BOP (50%)/398 thousand tonnes).
  • Estimated effect of changes in the wholesale margin with the sales volumes of gasoline and diesel oil in Poland assumed at approximately 11.4 million tonnes, and effect of changes in retail margin with fuel sales in Poland estimated at around 7.0 billion litres.
  • Estimated effect of oil price movements is calculated based on the product and feedstock portfolio using the model downstream margin and mainly includes the effect of higher costs of consumption of raw materials for own energy needs.
  • Estimated effect of changes in hydrocarbon prices in Canada assuming hydrocarbon production of approximately 6.3 million boe per annum.

1) The effect of changes in the above factors has been estimated on the assumption that there is no correlation between them and between other factors which have bearing on the ORLEN Group’s performance. Changes in macroeconomic factors may also have an additional impact on, for instance, optimisation of the product portfolio, sales markets or degree of processing capacity utilisation, which may additionally affect the results of PKN ORLEN’s operations.

Download
ORLEN Group Integrated Report

Download PDF