Avalon Technologies Limited (AVALON) Fair Value & Analysis
Technology · IN · Market cap ₹117B
Fair value as of: Jun 29, 2026
Analysis
Avalon Technologies Limited (AVALON) currently trades at ₹1,750, while our model-based Fair Value estimate is ₹316.07 — implying the stock looks roughly 81.9% 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
Avalon Technologies Limited, together with its subsidiaries, provides integrated electronic manufacturing services in India, the United States, and internationally. Its capabilities include printed circuit board assemblies; custom cables and wire harness assemblies; magnetic assemblies; sheet metal fabrication and assemblies, as well as contract services; aerospace sheet metal fabrication; precision injection molding for plastic parts; new product introduction, including prototype building services; design for manufacturing implementation; product engineering; volume production; life cycle management; system integration; machining; and supply chain and logistics. The company also offers electro-mechanical systems and racks; box builds for railway signaling systems; machined components for aerospace, such as commercial engines, seating, and cargo systems; precision-machined components for specialized locomotive braking systems; and magnetic components, including transformers, inducto…
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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.