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Daedong Corporation (000490) Fair Value & Analysis

Industrials · KR · Market cap 229B KRW

Price7,190 KRW
Fair Value6,568 KRW
Upside-8.6%
Quality85/100
Evidence: Low Range 4,926 KRW – 8,211 KRW

Fair value as of: Jun 25, 2026

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Analysis

Daedong Corporation (000490) currently trades at 7,190 KRW, while our model-based Fair Value estimate is 6,568 KRW — implying the stock looks roughly 8.6% overvalued today. We read business quality at 85/100 (high quality), in the Industrials 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: low).

About the company

Daedong Corporation provides agricultural machinery in South Korea. The company's products include tractors, zero turn mowers, utility vehicles, and engine parts. It also exports its products. Daedong Corporation was founded in 1947 and is based in Daegu, South Korea.

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Frequently asked questions

Is Daedong Corporation (000490) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 6,568 KRW versus a price of 7,190 KRW — about −9% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 000490?
Our 21-model fair value for Daedong Corporation is 6,568 KRW (as of Jun 25, 2026), built from audited fundamentals. The current price is 7,190 KRW.
What is the quality score of 000490?
Daedong Corporation has a Quality Score of 85/100, 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.