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SMCG Co (460870) Fair Value & Analysis

Consumer Cyclical · KR · Market cap 49.0B KRW

Price1,910 KRW
Fair Value2,011 KRW
Upside+5.3%
Quality91/100
Evidence: High Range 1,251 KRW – 2,554 KRW

Fair value as of: Jun 24, 2026

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Analysis

SMCG Co (460870) currently trades at 1,910 KRW, while our model-based Fair Value estimate is 2,011 KRW — implying the stock looks roughly 5.3% undervalued today. We read business quality at 91/100 (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

SMCG Co., Ltd. manufactures and sells glass containers for cosmetics. The company also provides accessories, which includes caps, pumps, droppers, etc. It serves companies and small and medium-sized enterprises. The company was founded in 1998 and is headquartered in Anseong-si, South Korea.

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Frequently asked questions

Is SMCG Co (460870) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 2,011 KRW versus a price of 1,910 KRW — about +5% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 460870?
Our 21-model fair value for SMCG Co is 2,011 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 1,910 KRW.
What is the quality score of 460870?
SMCG Co has a Quality Score of 91/100, 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.