Escorts Kubota Limited (ESCORTS) Fair Value & Analysis
Industrials · IN · Market cap ₹324B
Fair value as of: Jun 29, 2026
Analysis
Escorts Kubota Limited (ESCORTS) currently trades at ₹2,950, while our model-based Fair Value estimate is ₹2,290 — implying the stock looks roughly 22.4% 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
Escorts Kubota Limited manufactures and sells agricultural and construction equipment in India and internationally. The company offers rotavators, straw reapers, super seeders, MB ploughs, orchard sprayers, paddy harvesters, seed drills, and rice transplanters; filters, pumps, engine assemblies, gear parts, clutch systems, hydraulic pumps, cylinders, lubricants, oils, and service kits; and generator and diesel engines; and cranes, soil compactors, backhoe loaders, tandem rollers, and mini excavators. It also provides agricultural tractors; construction, earth moving, and material handling equipment; and round and flat tubes, heating elements, center buffer couplers, automobile shock absorbers, telescopic front fork and Mcpherson struts, internal combustion engines, and brake blocks. In addition, the company develops, produces, and imports parts and accessories, as well as provides maintenance and warranty, crop, and financing services. It offer its products under the Farmtrac, Power…
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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.