The Engineering Group, among the leaders in digital transformation in Italy, closed the first quarter of 2026 with organic revenue growth and an acceleration in profitability improvement compared to recent years, confirming the effectiveness of the strategic repositioning path towards higher value-added activities.
THE CONTRIBUTION OF THE PUBLIC SECTOR AND HEALTHCARE UNITS
The growth recorded in the quarter is transversal to all the main reference markets in which the Group operates and is mainly driven by positive performances in the Public Sector and Healthcare, as well as by the results of Software Products (+9%) and Digitech & Consulting (+6%).
HOW MUCH ENGINEERING’S REVENUES AND EBITDA GROW
In the first quarter of 2026, revenues amounted to 426 million euros, growing by 4.1% organically compared to the same period of the previous year; adjusted EBITDA stood at 58.3 million euros (+5.9% YoY) and adjusted EBITDA post-CapEx was 51 million euros (+9.6% YoY), improving thanks to particular attention to cost containment, a more favorable business mix, and the normalization of investments.
NET FINANCIAL LEVERAGE IMPROVES
Net financial leverage stands at 4.3 times EBITDA, improving compared to the first quarter of 2025, thanks to the strengthened cash generation capacity, supported by the Group’s higher profitability and profit margins.
WORDS FROM CEO ALDO BISIO
Aldo Bisio (in the photo), CEO of the Group, stated: “The first quarter of 2026 confirms the solidity of the direction taken, characterized by a progressive shift towards higher value-added activities, increasing integration of artificial intelligence, and strengthening of financial discipline. The evolution of our industrial model sees a central role for GenAI thanks to the launch of the modular architecture IS-IA (Italy’s Sovereign Intelligence Architecture), which is based on the proprietary LLM EngGPT 2, to offer Public Administrations and companies a sovereign Artificial Intelligence, that is governable, efficient, open, and capable of integrating with other generalist models.”
