Linde India Limited (LINDEINDIA) Fair Value & Analysis
Basic Materials · IN · Market cap ₹598B
Analysis
Linde India Limited (LINDEINDIA) currently trades at ₹7,198, while our model-based Fair Value estimate is ₹757.93 — implying the stock looks roughly 89.5% overvalued today. We read business quality at 95/100 (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
Linde India Limited manufactures and sells industrial and medical gases in India. It operates through Gases, Related Products and Services; and Project Engineering Division segments. The Gases, Related Products and Services segment produces and sells oxygen, nitrogen, and argon gases. This segment engages in the provision of pipeline gas supply to steel, glass, and chemical industries; liquefied gases through cryogenic tankers to various industrial sectors; and compressed gas in cylinders to fabrication, manufacturing, and construction industries. It offers gases, such as medical oxygen, synthetic air, and nitrous oxide for pharmaceutical use, as well as medical gas distribution systems to hospitals. The Project Engineering Division is involved in the design, engineering, manufacture, and commissioning of cryogenic and non-cryogenic air separation plants (ASUs), vacuum pressure swing adsorption (VPSA) units, and nitrogen plants; and the sale of distillation columns, cryogenic storag…
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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.