Aurionpro Solutions Limited (AURIONPRO) Fair Value & Analysis
Technology · IN · Market cap ₹49.3B
Fair value as of: Jun 29, 2026
Analysis
Aurionpro Solutions Limited (AURIONPRO) currently trades at ₹895.10, while our model-based Fair Value estimate is ₹690.92 — implying the stock looks roughly 22.8% overvalued today. We read business quality at 96/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Aurionpro Solutions Limited provides technology solutions in India, Asia-Pacific, and internationally. It operates through Sale of Software Services, and Sale of Equipment and Product License segments. The company offers Arya.ai, an enterprise solutions specializing in banking and financial services; and AryaXAI to deliver accurate, true-to-model explainability, monitoring, risk management, and alignment techniques, as well as operates AryaXAI AI alignment labs. It also provides Murex Services, a managed services provide specialized capital markets solutions; Fenixys for delivering complex front-to-back transformations; FX Connect; iCashpro a next-generation transaction banking platform; Fintra for disruptive trade finance solutions; AuroDigi, a digital banking platform for wholesale banking services; and Aurobees, an integrated supply chain and financing platforms. In addition, the company offers data center solutions and services, such as engineering, construction, products and so…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.