Aurionpro Solutions Limited announced its un-audited financial results for the third quarter and nine months ended December 31, 2025. The company reported a revenue of ₹371 crore for Q3 FY26, a 21% increase year-on-year. EBITDA for the quarter stood at ₹75 crore, up 18% YoY, with EBITDA margins at 20%. Profit After Tax (PAT) for Q3 FY26 was ₹44 crore, with PAT margins at 12%. The Q3 FY26 PAT includes a one-time charge of ₹8.10 crore related to the new labour code. For the nine months ended FY26 (9M FY26), revenue from operations grew by 26% to ₹1,066 crore compared to ₹846 crore in 9M FY25. EBITDA for 9M FY26 was ₹216 crore, a 23% increase YoY, and PAT stood at ₹150 crore, a 9% growth YoY. The Banking and Fintech segment reported a growth of 26%, reaching ₹595 crore, while the Technology Innovation Group recorded a growth of 26%, amounting to ₹471 crore. Operational highlights include significant wins in the Banking & Fintech segment, such as a global lending modernization mandate from a Singapore-headquartered bank and a transaction banking solution for a Public Sector Bank in India. Aurionpro also launched Orion-MSP, a Tabular Foundation Model, and AurionAI, an Enterprise AI platform for banking and financial services. In the Technology Innovation Group, the company secured orders for Platform Screen Door systems for Mumbai Metro Line 5 and Automated Fare Collection systems for Bhopal and Indore Metro projects. A strategic data center infrastructure project was also won from IDBI Bank. Group CEO Ashish Rai highlighted the company's transformation into a differentiated, high-margin, IP-led global product company, emphasizing strong revenue expansion and healthy margins. He noted the ongoing transition to AI-driven reasoning and outlined four high-growth pillars: Banking Software 2.0 (AurionAI), Vertical Integration in Transit Payments, Hyperscale Data Centers, and Domain-led Consulting and Forward Deployed AI. Rai mentioned a focused investment cycle and a reimagined R&D model to embed AI-driven reasoning, which may cause short-term capacity constraints but is essential for long-term strategic priorities.
