A2Z Infra Engineering Limited (A2ZINFRA) Fair Value & Analysis
Industrials · IN · Market cap ₹2.5B
Fair value as of: Jun 29, 2026
Analysis
A2Z Infra Engineering Limited (A2ZINFRA) currently trades at ₹13.82, while our model-based Fair Value estimate is ₹8.59 — implying the stock looks roughly 37.8% overvalued today. We read business quality at 90/100 (high quality), in the Industrials 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
A2Z Infra Engineering Limited offers engineering, procurement, and construction (EPC) and facility management services in India and internationally. The company operates through the Engineering Services (ES), Facility Management Services, Municipal Solid Waste Management, and Others segments. It provides EPC solutions, including distribution, transmissions, substation, feeder renovation, rural and railway electrification, IT application, renewable energy generation, and telecom EPC services; facility management services comprising technical, front office management, vendor management, and facilities management consulting services; facility management home services, such as professional pest control, upholstery shampooing, electric professionals, AC service and repair, plumbing professionals, professional carpenters, honing and polishing of floor, and painter services; and municipal solid waste management services. The company also develops the Ecotech green and Bus Shelter-cum-green…
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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.