Key Points
Iran war began 28 February 2026, created £25 billion in added costs for 279 surveyed companies.
Strait of Hormuz closure stranded 13 million barrels of oil per day, largest supply disruption ever recorded.
Brent crude reached US$110 per barrel by mid-May, 40-50% above pre-conflict levels.
UK construction sector faces dual pressure from rising energy costs and weakening demand simultaneously.
Operation Epic Fury, which began on 28 February 2026 with US and Israeli airstrikes on Iran, has triggered an economic crisis far beyond military casualties. A Reuters survey of 279 companies found the conflict has created £25 billion in additional costs across the global economy. Energy disruption and supply chain chaos now threaten UK growth just as inflation pressures were expected to ease.
How the Strait of Hormuz Became a Chokepoint
The Strait of Hormuz carries 20 million barrels of crude oil per day, roughly one-fifth of global petroleum consumption. When Iran closed the Strait in early March 2026, it stranded 13 million barrels per day of Gulf exports. Saudi Arabia and the UAE redirected 7 million barrels through alternative pipelines, but Iraq, Kuwait, Qatar, and Bahrain had no escape route. Their oil and gas became trapped, creating what analysts call the Hormuz paradox: the countries causing the price spike could not get their product to market.
Energy Prices Surge, Hitting Multiple Sectors
Brent crude surged above US$100 per barrel in late April, reaching US$110 by mid-May. A Reuters survey identified aviation as the hardest-hit sector, facing £15 billion in additional costs. Auto and supply chain sectors absorbed £5.5 billion, while consumer goods faced £2.4 billion. Diesel fuel prices in the UK were 38% higher in April 2026 than a year earlier, adding pressure to plant operation and construction logistics. The 2026 Global Peace Index documented the largest supply disruption ever recorded in the global oil market.
UK Construction Faces Dual Pressure
The UK construction sector now experiences rising cost pressures at the same time as activity weakens. This combination is unusual. Previous shocks brought either strong inflation or weak demand, but not both simultaneously. Aluminium prices rose from £2,967 per tonne in early January to £3,769 per tonne by late May. Natural gas prices remain elevated. Inflationary pressures are expected to build in coming months as the energy shock spreads through the economy.
Supply Chain Disruption Spreads Beyond Energy
The conflict disrupts more than oil and gas. LNG supplies are constrained. Iranian strikes on Ras Laffan in March 2026 affected approximately 17% of Qatar’s LNG export capacity. Aluminium shortages affect auto and aerospace manufacturers. Helium shortages impact MRI scanner production. A fertiliser shortage would ripple through farming, retail, and food prices. Underwriters report 73% of respondents agreed the war has highlighted unquantified areas of risk in ports and airports.
Final Thoughts
The Iran war has created £25 billion in added costs across 279 surveyed companies, with energy and supply chain disruption expected to push UK inflation higher in the coming months. Investors should monitor energy prices and construction sector weakness as dual pressures weigh on growth.
FAQs
A Reuters survey of 279 companies found £25 billion in additional costs. Aviation absorbed £15 billion, auto and supply chain £5.5 billion, consumer goods £2.4 billion.
Iran closed the Strait of Hormuz in March 2026, stranding 13 million barrels daily. Iraq, Kuwait, Qatar, and Bahrain lack alternative pipeline routes to market their oil.
Brent crude surged above US$100 per barrel in late April, reaching US$110 by mid-May. Prices remain 40-50% above pre-conflict levels.
Disclaimer:
The content shared by Meyka AI PTY LTD is solely for research and informational purposes. Meyka is not a financial advisory service, and the information provided should not be considered investment or trading advice.
About Author

Huzaifa Zahoor
Co FounderHuzaifa Zahoor is the engineer who built Meyka. He has spent years writing Python, training AI models, and building data pipelines specifically for financial markets. His technical articles have reached over 30,000 readers on Medium, so he knows how to make complex things easy to follow. If this article touches on how the tools work, he is the person who actually built them.
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