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VenueG Co (019010) Fair Value & Analysis

Consumer Cyclical · KR · Market cap 202B KRW

Price5,220 KRW
Fair Value3,180 KRW
Upside-39.1%
Quality84/100
Evidence: Medium Range 1,886 KRW – 6,064 KRW

Fair value as of: Jun 24, 2026

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Analysis

VenueG Co (019010) currently trades at 5,220 KRW, while our model-based Fair Value estimate is 3,180 KRW — implying the stock looks roughly 39.1% overvalued today. We read business quality at 84/100 (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: medium).

About the company

VenueG Co., Ltd. operates department stores in South Korea. It is also involved in the logistics, construction, and leisure businesses. The company was formerly known as Grand Department Store Co., Ltd. VenueG Co., Ltd. was founded in 1979 and is based in Goyang, South Korea.

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Frequently asked questions

Is VenueG Co (019010) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 3,180 KRW versus a price of 5,220 KRW — about −39% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 019010?
Our 21-model fair value for VenueG Co is 3,180 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 5,220 KRW.
What is the quality score of 019010?
VenueG Co has a Quality Score of 84/100, 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.