Sopra Steria reports share capital and voting rights data as of May 31, 2026

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Reviewed by
Ashish TScanX News Team
Key Highlights

Sopra Steria Group reported 19,689,538 total shares and 25,162,892 exercisable voting rights as of May 31, 2026, complying with French commercial code regulations.

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Sopra Steria Group has disclosed its total number of shares and voting rights as of May 31, 2026, in accordance with Article L.233-8 II of the French Commercial Code and Article 223-16 of the General Regulations of the Autorité des Marchés Financiers. The filing provides updated capital structure data for shareholders.

Share and Voting Rights Details

The regulatory filing outlines the specific counts for shares and voting rights. The total number of shares issued by the company stands at 19,689,538. The theoretical number of voting rights, which includes all shares whether or not they are currently exercisable, is 25,368,421. The number of voting rights that can be exercised at shareholder meetings is 25,162,892.

Capital Structure Summary

Metric Count
Total number of shares 19,689,538
Theoretical number of voting rights 25,368,421
Number of voting rights exercisable 25,162,892

The difference between the theoretical and exercisable voting rights typically arises from shares that are deprived of voting rights, such as treasury shares or shares held as collateral.

Company Overview

Sopra Steria is a major technology player in Europe with 51,000 employees in nearly 30 countries. The Group is recognized for its consulting, digital services, and software solutions. In 2025, the Group generated revenue of €5.6 billion. Sopra Steria is listed on Euronext Paris (Compartment A) under the ticker SOP.

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How might the current capital structure influence Sopra Steria's strategic acquisition plans in the European digital services market?

Could the gap between theoretical and exercisable voting rights signal upcoming changes in treasury share management or buyback programs?

What impact will the 2026 capital structure have on shareholder voting dynamics during the next Annual General Meeting?

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Sopra Steria extends strategic collaboration with Red Hat for embedded AI

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Reviewed by
Radhika SScanX News Team
Key Highlights

Sopra Steria and Red Hat have expanded their strategic partnership to industrialise sovereign-ready embedded AI for critical infrastructure. The initiative utilises Red Hat OpenShift AI and Device Edge to enable AI deployment in disconnected, constrained environments. Key applications include transport logistics, public terminals, and regulated communications.

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Sopra Steria today announced an extension of its strategic collaboration with Red Hat to industrialise sovereign-ready embedded AI, spanning from the data centre to the most constrained field equipment. Announced on the opening day of Eurosatory, the initiative addresses environments where AI is hardest to deploy and matters most, specifically targeting defence systems, public services, and critical infrastructure. For Sopra Steria, this represents its first industrialised edge offering built entirely on open standards.

The collaboration aims to help organisations transition from experimental pilots to production-scale intelligence by addressing the challenge of moving from proof of concept to reliable field operation. Red Hat provides the open building blocks, while Sopra Steria integrates, secures, and operates them as a deployable, accredited system. The initiative brings the entire AI lifecycle into a single hybrid cloud environment.

Technology Integration

The solution leverages specific Red Hat technologies to create a consistent hybrid cloud environment. These components are designed to manage the AI lifecycle across centralised and edge locations.

Component Function
Red Hat OpenShift AI Centralises model training and lifecycle management
Red Hat Device Edge Enables lightweight models to run on constrained field equipment
Red Hat Edge Manager Automates maintenance and updates across large fleets of devices

Sector Applications

This collaborative initiative delivers an industrialised lifecycle for edge applications, enabling faster processing and supporting operational continuity where decisions need to be taken locally. The use cases span several critical sectors requiring real-time intelligence and autonomy.

Transport and Fleet Logistics

The technology accelerates real-time anomaly detection and predictive routing algorithms directly on embedded electronic boards within mobile transport networks. This capability helps optimise system availability by processing data locally on the vehicle or equipment.

Public Terminal Infrastructure

For health and security terminals, the solution enables secure data filtering and immediate diagnostics in the field. This maintains local operational continuity even when the terminals are disconnected from central systems.

Regulated Communications

The partnership brings distributed AI inference directly to low-power field devices and constrained hardware environments. This enables real-time processing while reducing latency for signal processing applications.

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How will this partnership influence competitive dynamics among other cloud providers targeting the defence and critical infrastructure sectors?

What are the potential regulatory hurdles for obtaining accreditation for these sovereign-ready AI solutions across different European jurisdictions?

Could this industrialised edge model be adapted for commercial sectors beyond the initial focus on defence and public services?

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