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Kao Corporation (KAOCF) Fair Value & Analysis

Consumer Defensive · US · Market cap $17.1B

Price$37.81
Fair Value$34.60
Upside-8.5%
Quality93/100
Evidence: High Range $25.07 – $43.24

Analysis

Kao Corporation (KAOCF) currently trades at $37.81, while our model-based Fair Value estimate is $34.60 — implying the stock looks roughly 8.5% overvalued today. We read business quality at 93/100 (high quality), in the Consumer Defensive 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

Kao Corporation develops and sells hygiene living care, health beauty care, life care, cosmetics, and chemical products in Japan. It offers fabric, kitchen, home, and sanitary care products; facial, body, hair, and oral care, hair styling and color, salon, in-bathroom health care, and warming products; and self-selection cosmetics, as well as provides cosmetics counselling services. It also provides oleo chemicals, such as oleochemicals, fat and oil derivatives, surfactants, and fragrances; water-reducing admixtures for concrete, casting sand binders, plastics additives, and process chemicals for various industries; and toners/toner binders, inkjet ink colorants, ink, fine polishing agents and cleaners for hard disk, and materials and process chemicals for semiconductor. The company was formerly known as Kao Soap Co., Ltd. and changed its name to Kao Corporation in 1982. Kao Corporation was founded in 1887 and is headquartered in Chuo, Japan.

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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.