Elgi Equipments Limited (ELGIEQUIP) Fair Value & Analysis
Industrials · IN · Market cap ₹190B
Fair value as of: Jun 29, 2026
Analysis
Elgi Equipments Limited (ELGIEQUIP) currently trades at ₹604.05, while our model-based Fair Value estimate is ₹244.68 — implying the stock looks roughly 59.5% 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
Elgi Equipments Limited manufactures and sells air compressors and related parts in India, Europe, Australia, the United States, and internationally. It operates through two segments, Air Compressors and Automotive Equipments. The company offers oil lubricated screw and piston air compressors, oil free piston and screw air compressors, rotary and reciprocating air compressors, diesel and electric portable air compressors, railway air compressors, heat recovery systems, and medical air compressors and vacuum pumps, as well as air accessories; air compressor parts, filters and separators, lubricants and fluids, and service kits, and other accessories; and air compressor service. It is also involved in the trading of air compressors, nitrogen systems, and altitude training systems; manufacture and trading of automotive garage equipment, compressed air systems, and vacuum pumps for medical applications; renting of property; and provision of design services. In addition, the company manu…
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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.