BREAKING LIVE All breaking →
News

Toyota ends year with stronger December, annual volumes turn higher

UM
by UCapital MediaUCapital News newsroom1 min read
Toyota ends year with stronger December, annual volumes turn higher

Toyota Motor Corp on Thursday reported higher December sales and production, marking a year‑end pickup that helped lift its annual totals for the first time in two years.


The Aichi, Japan-based automotive manufacturer said total worldwide sales in December increased 3.1% to 993,356 vehicles from 963,542 vehicles in the same month the previous year.


Sales in the Japanese market grew 8.8% to 148,721 vehicles from 136,717 vehicles, while sales outside of Japan rose 2.2% to 844,635 vehicles from 826,825 vehicles in December 2024.


These figures bring the annual worldwide sales 4.6% higher to 11.3 million vehicles from 10.8 million vehicles the prior year, its first year-on-year increase in two years.


Worldwide production in December increased 1.2% higher to 881,654 vehicles from 871,271 vehicles previously, bringing the annual production to its first on-year increase in two years, 5.7% higher to 11.2 million vehicles from 10.6 million.

toyota
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.