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Sigong Tech Co (020710) Fair Value & Analysis

Industrials · KR · Market cap 70.0B KRW

Price3,495 KRW
Fair Value14,346 KRW
Upside+310.5%
Quality95/100
Evidence: Low Range 10,396 KRW – 21,532 KRW

Fair value as of: Jun 24, 2026

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Analysis

Sigong Tech Co (020710) currently trades at 3,495 KRW, while our model-based Fair Value estimate is 14,346 KRW — implying the stock looks roughly 310.5% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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: low) — always confirm before acting.

About the company

Sigong Tech Co., Ltd. operates in the exhibition and cultural industry in South Korea. The company engages in the design, production and construction, and maintenance of museums and art galleries, science and natural history museums, memorial halls, promotional exhibitions and theme parks, expos, and international events; and special effects, exhibit, and information images and movies. It also produces models, replicas, and animated mobile exhibits; and offers preservation and multimedia systems for exhibits. The company was founded in 1988 and is based in Seongnam, South Korea.

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Frequently asked questions

Is Sigong Tech Co (020710) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 14,346 KRW versus a price of 3,495 KRW — about +310% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 020710?
Our 21-model fair value for Sigong Tech Co is 14,346 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 3,495 KRW.
What is the quality score of 020710?
Sigong Tech 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.