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Daewon Co (007680) Fair Value & Analysis

Industrials · KR · Market cap 49.9B KRW

Price3,615 KRW
Fair Value7,230 KRW
Upside+100.0%
Quality95/100
Evidence: Low Range 4,772 KRW – 9,038 KRW

Fair value as of: Jun 26, 2026

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Analysis

Daewon Co (007680) currently trades at 3,615 KRW, while our model-based Fair Value estimate is 7,230 KRW — implying the stock looks roughly 100.0% 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

Daewon Co., Ltd., together with its subsidiaries, engages in the manufactures, produces, and sells ready-mixed concrete and aggregate products in South Korea. It is also involved in the education service and consulting businesses. The company was founded in 1972 and is headquartered in Cheongju, South Korea.

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Frequently asked questions

Is Daewon Co (007680) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 7,230 KRW versus a price of 3,615 KRW — about +100% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 007680?
Our 21-model fair value for Daewon Co is 7,230 KRW (as of Jun 26, 2026), built from audited fundamentals. The current price is 3,615 KRW.
What is the quality score of 007680?
Daewon 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.