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Daily Newsletter

09 August 2023

Daily Newsletter

09 August 2023

Honda posts quarterly operating profit up 77%

Honda operating profit up to 394 billion yen in last quarter as sales rebound in North America

David Leggett August 09 2023

Honda has posted a big jump to operating profit for the quarter ended 30 June (FYQ1) on the back of much higher sales in the US. Operating profit was up 77% to 394.4 billion yen from 222.2 billion yen in the same quarter last year.

Net income for the period was up by 213.8 billion yen to 363 billion yen.

Sales in the US in the quarter were up 45% to 347,000 units as supply problems (due to the global chips shortage) eased and Honda achieved near record average transaction prices on those sales.

Honda operating margin for the quarter was up to 8.5% from 5.8% in the same quarter last year. Besides the big lift to sales in North America – sales in Japan, Europe and China were either slightly down or flat – there was also a currency boost.

The company’s quarterly results were also boosted by higher motorcycle sales in southeast Asia, especially Indonesia.  

Honda kept its FY24 outlook unchanged.

AI is a key part of the digital revolution shaping the automotive sector

GlobalData estimates the total AI market will be worth $909 billion in 2030, having grown at a CAGR of 35% between 2022 and 2030. The automotive sector is undergoing a digital transformation fuelled by changing global supply-chain dynamics, tighter market competition, and rising inflation. AI is a key part of this digital revolution. Focus is directed toward driver assistance features for safety and hazard detection and greater automation of many vehicle processes and functions. Simultaneous localization and mapping (SLAM), facial recognition, and motion tracking will be vital for developing incockpit safety features such as early driver fatigue detection. For the most part, the automotive sector will not play a significant role in creating and developing generative AI hardware or platforms. Instead, it will be a key driver for innovations in machine learning platforms and associated IoT hardware for autonomous driving and ADAS. This will also help to drive advances and greater scale-up of adoption of these AI technologies in adjacent sectors such as travel and tourism and construction.

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