INTEGRATED
REPORT
2019

Macroeconomic environment

GRI indicators:
Capitals:

The ORLEN Group operates in a changing macro environment.

GRI:
  • 103-2

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.

GDP and fuel consumption

Poland

GDP growth

% year-on-year change

Fuel consumption

(million tonnes)

Germany

GDP growth

% year-on-year change

Fuel consumption

(million tonnes)

Czech Republic

GDP growth

% year-on-year change

Fuel consumption

(million tonnes)

Lithuania

GDP growth

% year-on-year change

 

Fuel consumption

(million tonnes)

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.

Average exchange rates

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, prices of which fluctuate reflecting changes in global demand and supply as well as changing geopolitical factors. As the sour Urals crude accounts for some 76% of the ORLEN Group’s crude slate, the Urals-Brent differential has a significant impact on its operating results.

Brent price

Source: In-house analysis.

Urals-Brent differential

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 operating costs  (energy, utilities, repairs),
  • 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)

Gasoline

Diesel oil

Heavy fuel oil

Polyethylene

Polypropylene

Ethylene

Propylene

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.

Model downstream margin [USD/bbl]

Downstream margin product slate – crack margins for key products

Product 2019 2018 2017 2016 2015
Refinery products (USD/t)
Gasoline 130 138 151 142 177
Diesel oil 108 102 86 71 108
Heavy fuel oil (158) (146) (112) (125) (142)
SN 150 102 191 295 139 177
Petrochemical products (EUR/t)
Ethylene 571 641 653 610 602
Propylene 480 532 477 359 488
Benzene 184 261 398 296 278
Paraxylene 431 448 418 431 416

A Model Refining Margin and a Model Petrochemical Margin are also calculated for the Downstream segment.

Model refining margin [USD/bbl]

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

Model petrochemical margin [EUR/t]

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

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

CLS price (USD/bbl)

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

AECO natural gas prices (CAD/GJ)

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

Sensitivity analysis

Analysis of sensitivity to changes in key macroeconomic parameters1 (PLNm)

1) The effect of changes in the above factors has been estimated on the assumption the no correlation exists between them and the 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.

  • Estimated effect of changes in the model downstream margin and model refining margin, with the ORLEN Group’s processing capacity utilisation assumed at approximately 250 million barrels.
  • Estimated effect of changes in the Urals-Brent differential, with the ORLEN Group’s Urals crude processing capacity utilisation assumed at approximately 154 million barrels.
  • Estimated effect of changes in the model petrochemical margin, with the ORLEN Group’s sales of polymers assumed at 905 thousand tonnes (Unipetrol/519 thousand tonnes and BOP (50%)/386 thousand tonnes).
  • Estimated effect of changes in the wholesale margin, with the sales volumes of gasoline and diesel oil in Poland assumed at approximately 5 million tonnes, and effect of changes in retail margin, with fuel sales in Poland estimated at around 7.7 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.

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