Airan Limited (AIRAN) Fair Value & Analysis
Technology · IN · Market cap ₹2.0B
Fair value as of: Jun 29, 2026
Analysis
Airan Limited (AIRAN) currently trades at ₹16.16, while our model-based Fair Value estimate is ₹14.79 — implying the stock looks roughly 8.5% overvalued today. We read business quality at 90/100 (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: medium).
About the company
Airan Limited, together with its subsidiaries, provides information technology (IT) and IT-enabled services in India and internationally. The company offers cash management, door step banking and pickup, fee collection/counter management, customer onboarding eKYC, cheque truncation/processing, e-stamping/registration fee collection, document management, contact center, records management, address verification and credit verification, back office management, bookkeeping, software development, self-managed superannuation fund, financials and taxation, data migration, payroll processing, labour law compliance, digital document verification, and automobile inspection services. It also provides AI-enabled software platforms, automation engines, and process intelligence tools. In addition, the company offers CTS clearing processing, account opening forms processing, and managing collection counters services. Further, it provides consulting, technology, outsourcing, and next generation dig…
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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.