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SG Corporation (004060) Fair Value & Analysis

Consumer Cyclical · KR · Market cap 59.1B KRW

Price2,425 KRW
Fair Value914.74 KRW
Upside-62.3%
Quality95/100
Evidence: High Range 737.08 KRW – 1,228 KRW

Fair value as of: Jun 25, 2026

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Analysis

SG Corporation (004060) currently trades at 2,425 KRW, while our model-based Fair Value estimate is 914.74 KRW — implying the stock looks roughly 62.3% overvalued today. We read business quality at 95/100 (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

SG Corporation, a fashion company, produces and sells woven garments primarily in South Korea. It offers formal dresses, casual wear, outer wear, and jackets. The company sells garments for women under the ab.f.z and ab.plus brands; and garments for men under the BASSO and BASSO hommes brands. It exports its products. The company was formerly known as SGWICUS Corporation and changed its name to SG Corporation in March 2010. SG Corporation was founded in 1964 and is headquartered in Seoul, South Korea.

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Frequently asked questions

Is SG Corporation (004060) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 914.74 KRW versus a price of 2,425 KRW — about −62% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 004060?
Our 21-model fair value for SG Corporation is 914.74 KRW (as of Jun 25, 2026), built from audited fundamentals. The current price is 2,425 KRW.
What is the quality score of 004060?
SG Corporation 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.