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Okuwa Co (OWWAF) Fair Value & Analysis

Consumer Cyclical · US · Market cap $207M

Price$5.09
Fair Value$3.58
Upside-29.7%
Quality96/100
Evidence: High Range $2.46 – $4.71

Fair value as of: Jun 24, 2026

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Analysis

Okuwa Co (OWWAF) currently trades at $5.09, while our model-based Fair Value estimate is $3.58 — implying the stock looks roughly 29.7% overvalued today. We read business quality at 96/100 (high quality), in the Consumer Cyclical 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

Okuwa Co., Ltd. operates and manages stores in Japan. Its stores offer food, alcoholic beverages, rice, household goods, home furnishings, interior decoration, DIY, leisure goods, sports goods, home appliances, cosmetics, pharmaceuticals, and clothing products. The company also operates in online shopping business. Okuwa Co., Ltd. was founded in 1938 and is based in Wakayama, Japan.

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Frequently asked questions

Is Okuwa Co (OWWAF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $3.58 versus a price of $5.09 — about −30% (overvalued). Model-based estimate, not financial advice.
What is the fair value of OWWAF?
Our 21-model fair value for Okuwa Co is $3.58 (as of Jun 24, 2026), built from audited fundamentals. The current price is $5.09.
What is the quality score of OWWAF?
Okuwa Co has a Quality Score of 96/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.