07.08.2026 • Press Release
The Board of Directors of Engineering Group, among the leaders in Digital Transformation in Italy and with a significant international presence, has approved the consolidated results for the first half of 2026. Engineering recorded an improvement in revenues and Adjusted EBITDA Post-CapEx and confirms its positioning in activities with higher growth potential.
The half-year saw positive performances in some of the Group’s main reference markets, with growth in Public Sector & Municipalities (+10% YoY) and a resilient performance in Enterprise (+3%). Digitech & Consulting (+3% YoY) and Software Products (+9% YoY) also delivered positive results.
Aldo Bisio, Chief Executive Officer of the Group, stated: “Engineering Group confirms its role as a strategic partner in supporting public and private organisations on high-value digital transformation paths, where Artificial Intelligence is a driver of growth and innovation through which we enable secure, transparent and governable solutions for our clients”.
Main economic and financial results
The Group’s main economic and financial indicators for the first half of 2026 were as follows:
· Net revenues amounted to 844.8 million euros, up +1.6% YoY;
· Adjusted EBITDA amounted to 119.3 million euros, substantially stable compared with the first half of 2025 (-0.8% YoY);
· Adjusted EBITDA post-CapEx amounted to 102.8 million euros, improving compared with the first half of 2025 (+5.3% YoY), mainly thanks to the normalisation of investments.
The half-year was also characterised by the announcement, on 17 June, of the signing of two binding agreements with Accenture for the sale of Alfahealth and IndX Group. The disposals form part of the Group’s strategic transformation path, aimed at strengthening its focus on core segments, proprietary Software Products, Digitech & Consulting and Artificial Intelligence: the latter is confirmed as a lever for growth and efficiency thanks to the modular IS-IA architecture, designed to be agnostic with respect to the LLM models available on the market, including those developed internally by Engineering, thereby ensuring interoperability, technological flexibility and full compliance with the regulatory requirements set out by the EU AI Act on transparency, security and the governability of artificial intelligence systems. The net proceeds from the transactions will be allocated mainly to debt reduction, with the aim of improving leverage metrics, strengthening cash generation and consolidating the Group’s financial profile.