Avio Smart Market Stack Limited (ASMS) Fair Value & Analysis
Technology · IN · Market cap ₹2.2B
Fair value as of: Jun 29, 2026
Analysis
Avio Smart Market Stack Limited (ASMS) currently trades at ₹7.23, while our model-based Fair Value estimate is ₹3.31 — implying the stock looks roughly 54.2% overvalued today. We read business quality at 97/100 (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
Avio Smart Market Stack Limited provides automatic identification, data capture, and financial inclusion services in India and internationally. The company offers a range of banking services, including financial inclusion, business correspondent, and business facilitation banking services. It also provides e-government solutions that include health insurance, public distribution system, smart card based driving license and vehicle registration, and pilgrim management system. In addition, the company provides Internet of Things solutions in healthcare, agriculture, smart cities, and industrial automation industries; technology, mobility, and enterprise solutions; and application development, management, software quality assurance, and IT infrastructure management services. The company was formerly known as Bartronics India Limited and changed its name to Avio Smart Market Stack Limited in February 2026. Avio Smart Market Stack Limited was incorporated in 1990 and is headquartered in …
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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.