Bansal Wire Industries Limited (BANSALWIRE) Fair Value & Analysis
Basic Materials · IN · Market cap ₹49.3B
Fair value as of: Jun 29, 2026
Analysis
Bansal Wire Industries Limited (BANSALWIRE) currently trades at ₹314.90, while our model-based Fair Value estimate is ₹209.28 — implying the stock looks roughly 33.5% overvalued today. We read business quality at 97/100 (high quality), in the Basic Materials 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
Bansal Wire Industries Limited manufactures and sells steel wires worldwide. The company offers cold heading, spring, welding, rope, fine, scrubber, and heat resisting wires, as well as wires for kitchen ware and utensils; low carbon steel wires, such as cable armouring, galvanized, electro galvanized, and bright wires; and high carbon steel wires, including spring steel wires and automotive control cables. It also provides shaped / profile wires, which includes circlips wire; aluminum alloy, copper-coated aluminum magnesium, copper coated steel, and aluminum alloy wire mesh and welding wires; electro-galvanized, hot dip galvanized, and stitching wires; and cable armouring wire and strips. Further, the company provides wire rope, tyre bead, aluminum alloy wire mesh, stainless steel scrubbers, building material, and barbed wire. It serves its products to aeronautics, agriculture/ poultry, automotive, cable, consumer durables, general engineering, hardware, infrastructure, and other i…
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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.