Nokia Q3 2026: AI and cloud demand drives growth in network infrastructure

Nokia’s third-quarter 2026 results show how demand for artificial intelligence and cloud services can reach the network suppliers connecting computing infrastructure. In its release published on 22 October 2026, the company disclosed rising comparable sales and operating profit, alongside substantial growth in sales and new orders from AI and Cloud customers. The results also contained a significant qualification: reported operating profit fell even as comparable operating profit increased.

What happened

For the third quarter of 2026, Nokia recorded comparable operating profit of EUR 605 million, compared with EUR 448 million in the same period a year earlier, an increase of 35%. Comparable net sales reached EUR 5,154 million, up 10% on a reported-currency basis and 9% at constant currency and portfolio. These are separate measures of growth: the latter adjusts for exchange-rate movements and changes in the business portfolio. Nokia’s Q3 2026 earnings release provides the company’s figures and reporting definitions.

Nokia said sales to AI and Cloud customers increased 123% year on year. New orders from those customers totalled EUR 1.5 billion, up 118%. The distinction between those two indicators matters. Sales reflect business recognised during the reporting period; orders represent customer commitments that may support future sales as delivery and applicable revenue-recognition conditions are met. The EUR 1.5 billion order figure must therefore not be treated as additional third-quarter revenue.

These customer figures also describe a particular part of Nokia’s business, rather than the performance of every product or customer group. Their rapid growth signals expanding demand within that category, but does not establish that all of Nokia’s activities are growing at the same pace.

Financial context

The earnings picture differs sharply depending on the profit measure used. While comparable operating profit increased to EUR 605 million, reported operating profit was EUR 196 million, down from EUR 252 million a year earlier, a decline of 22%. Nokia’s release identifies restructuring and integration-related adjustments among the factors separating reported and comparable performance. Presenting the comparable increase alone would leave readers with an incomplete account of the quarter.

Comparable results can help readers assess operating trends with specified adjustments excluded. Reported results capture the effects of those items under the company’s reporting framework. Both deserve attention: restructuring and integration can affect the resources a business needs even when management excludes particular charges from its comparable performance measures. The two profit figures should not be used interchangeably.

The infrastructure context helps explain the AI connection. Optical networks transmit data using light through fibre, supporting high-capacity connections over distance. IP connectivity routes data between networks and destinations. Data-centre interconnection links separate facilities so that traffic can move between them. These functions support the movement of information around cloud and AI computing systems; they are distinct from manufacturing the processors that perform computations or developing the models themselves.

The analytical implication is that AI-related spending can benefit established communications-equipment suppliers as well as chipmakers and model developers. Nokia’s disclosed customer growth supports that interpretation for this quarter. It does not demonstrate that Nokia supplies every category of AI infrastructure, nor does it establish how long current spending patterns will continue.

Who is affected

For shareholders and other readers assessing Nokia’s financial performance, the central issue is the relationship between demand, recognised sales and profitability. Strong order intake may improve visibility into future activity, but its financial value depends on delivery, contract execution, costs and the margins ultimately earned. A growing order book is an indicator to examine, rather than a substitute for future earnings.

Cloud operators and other infrastructure buyers are affected through the capacity and connectivity they purchase. As they expand computing facilities, connections within the wider network and between sites can become an important part of deployment planning. However, Nokia’s customer-sales figures do not by themselves reveal the spending intentions of every buyer or establish that every project will proceed on its original timetable.

Employees, contractors and suppliers also have an interest in how the company balances growth opportunities with restructuring and integration. Rising demand in one customer category does not, on its own, determine hiring, procurement or operational decisions across the group. Readers can follow related corporate and economic reporting in the Europe news section.

What to watch next

The first question is order conversion. Future reporting will help show how the EUR 1.5 billion in new AI and Cloud orders translates into recognised revenue. Delivery schedules, customer readiness and project execution can influence timing. The disclosed order total alone does not establish when all of that business will appear in sales.

The second question is profitability. Readers should track whether growth supports sustainable margins and whether the gap between comparable and reported operating profit narrows. Higher sales do not automatically produce proportionate profit growth: product mix, implementation costs and competitive pricing can change the outcome.

Competition and customer spending are further uncertainties. Network suppliers must compete for contracts, while buyers can revise investment plans or change deployment schedules. These are risks to future performance, not claims that Nokia has already experienced specific cancellations or pricing deterioration in the quarter.

The reported results establish substantial growth in Nokia’s AI and Cloud customer business during the third quarter of 2026. The broader interpretation is that AI investment is reaching the networks connecting computing resources. Whether that demand produces durable revenue growth and stronger reported profitability remains a question for subsequent results, rather than an assured outcome.