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Woongjin Co (016880) Fair Value & Analysis

Industrials · KR · Market cap 157B KRW

Price1,915 KRW
Fair Value3,830 KRW
Upside+100.0%
Quality91/100
Evidence: High Range 2,873 KRW – 4,788 KRW

Fair value as of: Jun 26, 2026

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Analysis

Woongjin Co (016880) currently trades at 1,915 KRW, while our model-based Fair Value estimate is 3,830 KRW — implying the stock looks roughly 100.0% undervalued today. We read business quality at 91/100 (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: high) — always confirm before acting.

About the company

Woongjin Co., Ltd. provides IT services in South Korea. It provides ERP solutions; cloud platform solutions, such as amazon web service, microsoft azure, salesforce, NAVER works, and mendix; and Woongjin rental management, subscription core, global audit management solutions, digital mobility platform, and security solutions. The company also offers IT consulting and outsourcing, system integration, and digital signage services; and call center services. Woongjin Co., Ltd. was founded in 1980 and is headquartered in Seoul, South Korea.

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Frequently asked questions

Is Woongjin Co (016880) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 3,830 KRW versus a price of 1,915 KRW — about +100% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 016880?
Our 21-model fair value for Woongjin Co is 3,830 KRW (as of Jun 26, 2026), built from audited fundamentals. The current price is 1,915 KRW.
What is the quality score of 016880?
Woongjin 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.