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Studio Samick Co (415380) Fair Value & Analysis

Consumer Cyclical · KR · Market cap 20.3B KRW

Price1,643 KRW
Fair Value3,295 KRW
Upside+100.6%
Quality95/100
Evidence: High Range 2,587 KRW – 4,650 KRW

Fair value as of: Jun 25, 2026

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Analysis

Studio Samick Co (415380) currently trades at 1,643 KRW, while our model-based Fair Value estimate is 3,295 KRW — implying the stock looks roughly 100.6% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.

About the company

Studio Samick Co., Ltd. manufactures and sells furniture and related accessories in South Korea. It also offers furniture-related raw and subsidiary materials. The company sells its products through stores and online. The company was founded in 2017 and is headquartered in Seoul, South Korea.

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Frequently asked questions

Is Studio Samick Co (415380) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 3,295 KRW versus a price of 1,643 KRW — about +101% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 415380?
Our 21-model fair value for Studio Samick Co is 3,295 KRW (as of Jun 25, 2026), built from audited fundamentals. The current price is 1,643 KRW.
What is the quality score of 415380?
Studio Samick Co 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.