ABB data centre orders surge as third-quarter earnings track forecasts
Demand linked to artificial intelligence infrastructure continues to support ABB's growth in electrification and automation markets. The Swiss engineering group says orders for data centre products rise by triple digits in the third quarter, alongside revenue and earnings that broadly match market expectations.
Highlights
- ABB's operational earnings before interest, tax and amortisation rose 24% to $2.03 billion in Q3, slightly topping forecasts of $2.0 billion.
- Revenue grew 14% to $9.70 billion, just under the $9.74 billion consensus, as data centre product orders posted a triple-digit increase in the third quarter.
- Strong AI-driven data centre demand supports ABB and global industrial suppliers, helping offset broader economic weakness highlighted by the IMF.
Third-quarter performance and data centre demand
As reported by Reuters, ABB says operational earnings before interest, tax and amortisation jump 24% to $2.03 billion in the three months to the end of September, slightly ahead of analyst forecasts for $2.0 billion. Revenue rises 14% to $9.70 billion, a touch below the $9.74 billion expected in a company-gathered consensus.The company, which supplies electrification and automation products for factories, ships and ports, continues to benefit from strong demand for power distribution and cooling systems used in data centres. ABB says orders for data centre products post a triple-digit increase in the third quarter, extending the momentum seen in the second quarter.
AI investment underpins broader industrial outlook
Spending on AI and the data centres that support it remains an important driver for industrial suppliers exposed to power and cooling equipment. For ABB, that demand is helping offset a more mixed backdrop across the wider global economy.The IMF said last week that a surge in spending on AI and data centres is propping up the global economy and helping it withstand the energy shock from the Middle East war. It also warned that any reassessment of efficiency gains from adopting the technology could weaken investment over time.
Our earlier coverage on the U.S. AI data centre buildout highlighted that many planned projects are being delayed or questioned as financing costs rise and construction timelines slip. We noted that only a minority of announced developments look truly credible, while power constraints and local opposition add further bottlenecks that could slow capacity growth despite strong AI-driven demand.