Nokia stock falls 3% ahead of Q2 earnings report

1 min read     Updated on 17 Jul 2026, 08:10 PM
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Suketu GScanX News Team
AI Summary

Nokia Corp. shares declined by more than 3% as investors await the company's Q2 and half-year 2026 financial report on July 23. The drop follows a weak earnings report from peer Ericsson, which warned of rising AI-related component costs. Analysts expect Nokia to report EPS of 7 cents and revenue of $5.59 billion, maintaining a consensus Buy rating. Technical indicators show the stock in a short-term correction but holding above long-term support.

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Nokia Corp. stock fell more than 3% on Friday as investors reduced exposure to technology stocks during a broad market sell-off. The decline comes as the company approaches a key catalyst, with Nokia scheduled to report its second-quarter and half-year 2026 financial report on July 23, 2026. The report will be available at approximately 8 a.m. Finnish time (EEST) on the Nokia website, followed by an analyst webcast at 3:00 p.m. Finnish time (EEST). Investors are bracing for increased volatility as traders adjust positions ahead of the earnings release.

Sentiment was also dampened by recent developments in the telecom equipment sector. Ericsson reported weaker-than-expected second-quarter results and warned that surging demand for AI infrastructure is tightening memory chip supply and increasing costs for custom silicon and semiconductor components. CEO Börje Ekholm stated Ericsson is "not immune" to these inflationary pressures, with financial impacts expected to build over the coming quarters and into 2027. While Nokia has not issued similar guidance, investors are assessing whether comparable industry cost pressures could affect the company.

Earnings and Analyst Outlook

Wall Street expects Nokia to report earnings of 7 cents per share, up from 4 cents a year earlier. Analysts forecast revenue of $5.59 billion, compared with $5.15 billion in the prior-year quarter. The stock currently trades at about 65.1 times earnings. Analysts maintain a consensus Buy rating with an average price forecast of $14.67. Recent ratings actions include JPMorgan raising its price forecast to $21 with an Overweight rating, Argus Research upgrading to Buy with a $15 forecast, and Morgan Stanley initiating coverage with an Overweight rating and an $8 forecast.

Technical Picture

Nokia remains in a short-term correction, trading 19.5% below its 20-day simple moving average and 26.5% below its 50-day SMA. This signals that the recent downtrend remains intact. However, shares are still 12.7% above the 200-day SMA, suggesting the longer-term uptrend has not broken. Momentum indicators remain weak, with the moving average convergence/divergence (MACD) staying below its signal line. The key technical support level is $10.00.

Market Context

The broader market remained weak, contributing to the stock's decline. The Nasdaq dropped 1.85%, the S&P 500 declined 1.11%, the Dow Jones Industrial Average fell 1.05%, and the Russell 2000 lost 1.20%. Nokia shares were down 3.37% at $10.03 at the time of publication on Friday.

Will Nokia follow Ericsson's lead in warning about inflationary pressures from AI infrastructure costs during the upcoming earnings report?

Can Nokia sustain its current valuation of 65.1 times earnings if the broader technology sector continues to face sell-offs?

How might the divergence in analyst price targets, ranging from $8 to $21, influence investor sentiment ahead of the Q2 report?

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Nokia launches first AI-native RAN platform with NVIDIA

1 min read     Updated on 15 Jul 2026, 03:18 PM
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Reviewed by
Riya DScanX News Team
AI Summary

Nokia announced the industry's first commercial AI-RAN platform, developed with NVIDIA, to deliver over 100% spectral efficiency gains by 2028. The platform, built on AI-native anyRAN software and NVIDIA’s Aerial technology, supports 4G, 5G, and 6G workloads. Pilot deployments are set for late 2026, with commercial availability in 2027.

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Nokia announced the launch of the industry's first commercial AI-RAN platform on 15 July 2026, marking a significant shift in radio network architecture. Built on Nokia’s AI-native anyRAN software and NVIDIA’s Aerial AI-RAN platform, the solution aims to deliver more than 100% spectral efficiency gains by 2028. This advancement allows telecommunication providers to double the capacity of existing spectrum assets without relying on traditional hardware upgrade cycles. The platform combines Nokia’s software with NVIDIA Corporation’s accelerated computing technology to transform the Radio Access Network (RAN) into a planet-scale AI computer.

The AI-RAN platform has already demonstrated more than 20% spectral efficiency gains through AI-driven radio innovations. Nokia is on track to deliver 50% gains by 2027 and over 100% by 2028. These improvements are designed to help providers carry significantly more traffic in dense cells while reducing cost per bit and enhancing customer experience. The architecture supports 4G, 5G, and future 6G workloads on a common platform and can be deployed with existing Nokia or ORAN-compliant radio units.

Strategic partnerships and adoption

Nokia’s AI-RAN platform is built on a common software-defined architecture, offering three hardware platform options to accommodate diverse network strategies. These options include an expansion card for existing AirScale deployments, a standalone AI-RAN node, and cloud-native AI-RAN COTS server solutions delivered through ecosystem partners. Nokia’s anyRAN software will support these three new accelerated computing baseband platforms, while its broader portfolio will remain fully O-RAN compliant, allowing operators to upgrade networks at their preferred pace.

Adoption Path Description
AirScale Capacity Plug-in GPU-powered unit for existing Nokia customers integrating NVIDIA accelerated computing.
Standalone AI-RAN Node Industry-first GPU-powered node for maximum deployment flexibility and performance.
Cloud-Native AI-RAN COTS server solutions for operators embracing cloud-native architectures.

Commercial availability and roadmap

Telecommunication providers can adopt AI-RAN in stages using the approach that best matches their deployment strategy and installed base. The solutions will enter pilot deployments at the end of 2026 and become commercially available in 2027. A new software subscription model allows providers to benefit from AI innovation and performance enhancements without waiting for hardware refresh cycles, enabling continuous improvement in network performance and economics.

How will competitors like Ericsson and Huawei respond to Nokia's early lead in commercial AI-RAN platforms?

What impact will the new software subscription model have on Nokia's long-term revenue stability and hardware sales?

To what extent will the shift to AI-driven RAN accelerate the industry's transition toward Open RAN standards?

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