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Sumiseki Holdings (SMSKF) Fair Value & Analysis

Energy · US · Market cap $197M

Price$3.30
Fair Value$3.23
Upside-2.0%
Quality95/100
Evidence: Medium Range $2.69 – $4.36

Fair value as of: Jun 24, 2026

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Analysis

Sumiseki Holdings (SMSKF) currently trades at $3.30, while our model-based Fair Value estimate is $3.23 — implying the stock looks roughly 2.0% overvalued today. We read business quality at 95/100 (high quality), in the Energy 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

Sumiseki Holdings,Inc. imports, purchases, and sells coal in Japan. It also manufactures, purchases, and sells industrial synthetic diamonds; and collects, processes, and sells rocks. The company invests in coal companies. Sumiseki Holdings,Inc. was incorporated in 2008 and is headquartered in Tokyo, Japan.

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Frequently asked questions

Is Sumiseki Holdings (SMSKF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $3.23 versus a price of $3.30 — about −2% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SMSKF?
Our 21-model fair value for Sumiseki Holdings is $3.23 (as of Jun 24, 2026), built from audited fundamentals. The current price is $3.30.
What is the quality score of SMSKF?
Sumiseki Holdings has a Quality Score of 95/100, 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.