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DUKSAN TECHOPIA Co (317330) Fair Value & Analysis

Technology · KR · Market cap 325B KRW

Price13,000 KRW
Fair Value10,155 KRW
Upside-21.9%
Quality93/100
Evidence: Low Range 7,616 KRW – 12,693 KRW

Fair value as of: Jun 24, 2026

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Analysis

DUKSAN TECHOPIA Co (317330) currently trades at 13,000 KRW, while our model-based Fair Value estimate is 10,155 KRW — implying the stock looks roughly 21.9% overvalued today. We read business quality at 93/100 (high quality), in the Technology 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

DUKSAN TECHOPIA Co.,Ltd. operates as a intermediate synthesis specialized company in South Korea. It offers fine chemical materials, including luminescent and non-luminescent materials; produces organic and inorganic synthesis of electro materials, such as core precursor for semiconductor manufacturing, and polymerization catalyst for synthetic resin; and secondary battery additives. The company was founded in 2006 and is headquartered in Cheonan-si, South Korea.

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Frequently asked questions

Is DUKSAN TECHOPIA Co (317330) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 10,155 KRW versus a price of 13,000 KRW — about −22% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 317330?
Our 21-model fair value for DUKSAN TECHOPIA Co is 10,155 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 13,000 KRW.
What is the quality score of 317330?
DUKSAN TECHOPIA Co has a Quality Score of 93/100, 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.