Electrotherm (India) Limited (ELECTHERM) Fair Value & Analysis
Basic Materials · IN · Market cap ₹14.4B
Fair value as of: Jun 29, 2026
Analysis
Electrotherm (India) Limited (ELECTHERM) currently trades at ₹1,140, while our model-based Fair Value estimate is ₹1,603 — implying the stock looks roughly 40.7% undervalued today. We read business quality at 97/100 (high quality), in the Basic Materials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Electrotherm (India) Limited, an engineering and steel company, provides steel melting solutions worldwide. It operates through Engineering & Technologies, Special Steel, Electric Vehicle, and Others segments. The company designs and manufactures steel plants equipment, foundries, induction heating, and hardening equipment for heat treatment. It also engages in the manufacture of TMT bars and ductile iron pipes, including blast furnaces, sponge iron kilns, induction furnaces, rolling mills, ladle refining furnace, and pipe making facilities. In addition, the company provides solar photovoltaic rooftop and ground-mounted solutions to industrial and commercial sectors. Further, it offers induction furnace, casting machines, transformers, sponge and pig iron, ferrous and non-ferrous billets/bars/ingots, duct iron pipes, transmission line towers, and battery operated vehicles; and services related to steel melting and other capital equipment. The company was founded in 1983 and is headq…
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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.