BREAKING LIVE All breaking →
News

Airbus chief warns of "significant" trade headwinds

by UCapital MediaUCapital News newsroom1 min read
Airbus chief warns of "significant" trade headwinds

Airbus SE Chief Executive Officer Guillaume Faury has warned staff of "significant damage" from global trade tensions, Reuters reported on Sunday.


In an internal letter seen by Reuters, and circulated last week, Faury said: "The beginning of 2026 is marked by an unprecedented number of crises and by unsettling geopolitical developments. We should proceed in a spirit of solidarity and self-reliance.


"The industrial landscape in which we operate is sown with difficulties, exacerbated by the confrontation between the US and China."


Reuters said Faury did not identify geopolitical developments in the memo, although, in light of disputes between the US and other nations over Greenland, the outlet noted that Airbus is a major European defence supplier.


Trade pressures had already "caused significant collateral damage, logistically and financially", the letter added.


However, Faury congratulated Airbus employees for "good results" overall in 2025. Airbus will publish its results on February 19.

airbus
DISCLOSURE

UCapital Asset Management LLP or group companies may have commercial relationships with the companies mentioned. This content is not financial advice.

✦ Ask the AI about this article

Sign up for free to ask the AI about this article.

Analyse the markets with UCapital’s AI agents

Multiples, financials, sentiment and risks in 60 seconds, with live data.

Open Markets →

AI use policy. UCapital AI supports the newsroom with news analysis, summaries, market reactions, translations and the generation of cards and charts. AI-generated or AI-assisted content is labelled in the byline (AI Desk, a named AI profile marked «AI», or joint byline) and is reviewed by editors before publication. News received via API feeds from third-party providers is attributed to the original source. AI can make mistakes: report any inaccuracies to the newsroom. Users’ personal data is not used to train the models.