Electrosteel Castings Limited (ELECTCAST) Fair Value & Analysis
Industrials · IN · Market cap ₹48.5B
Fair value as of: Jun 29, 2026
Analysis
Electrosteel Castings Limited (ELECTCAST) currently trades at ₹78.60, while our model-based Fair Value estimate is ₹44.39 — implying the stock looks roughly 43.5% overvalued today. We read business quality at 97/100 (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: high).
About the company
Electrosteel Castings Limited manufactures and supplies ductile iron (DI) pipes, ductile iron fittings (DIF) and accessories, and cast iron (CI) pipes in India and internationally. The company offers ductile iron pipes and fittings which are used in various applications, including raw and clear water transmission, distribution network of potable water, water supply for industrial/process plants, ash-slurry handling and disposal systems, on-shore and off-shore fire-fighting systems, desalination plants, sewerage and waste water force mains, gravity sewerage collection and disposal systems, storm water drainage piping, domestic and industrial disposal systems, recycling systems, piping work in water and sewage treatment plants, vertical connection to utilities and reservoirs, piling for ground stabilization, trenchless application, and protective piping under carriageways; ductile iron flange pipes used for temporary, over-ground and exposed installations, vertical pipelines, intercon…
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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.