Kubota Corporation (KUBTF) Fair Value & Analysis
Industrials · US · Market cap $18.9B
Analysis
Kubota Corporation (KUBTF) currently trades at $16.60, while our model-based Fair Value estimate is $12.70 — implying the stock looks roughly 23.5% overvalued today. We read business quality at 89/100 (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: medium).
About the company
Kubota Corporation engages in the manufacture and sale of agricultural and construction machinery in Japan, North America, Europe, Asia, and internationally. The company offers tractors, power tillers, combine harvesters, rice transplanters, turf equipment, utility vehicles, other agricultural machineries, implements, attachments, post-harvest machineries, vegetable production equipment, intermediate management machines, and other equipment for agricultural use, weighing and measuring control systems, and cooperative drying, rice seedling, and gardening facilities, as well as rice mill plants. It also provides farm equipment, construction machinery, industrial machinery, and generators engines; and mini excavators, wheel loaders, compact track loaders, skid steer loaders, and other construction machinery-related products. In addition, the company offers ductile iron pipe, plastic pipe, valves, single stack drain fittings, and design and construction of construction works; reformer a…
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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.