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Deokyang Energen Corporation (0001A0) Fair Value & Analysis

Basic Materials · KR · Market cap 256B KRW

Price9,010 KRW
Fair Value3,063 KRW
Upside-66.0%
Quality87/100
Evidence: Medium Range 2,144 KRW – 3,982 KRW

Fair value as of: Jun 25, 2026

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Analysis

Deokyang Energen Corporation (0001A0) currently trades at 9,010 KRW, while our model-based Fair Value estimate is 3,063 KRW — implying the stock looks roughly 66.0% overvalued today. We read business quality at 87/100 (high quality), in the Basic Materials 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: medium).

About the company

Deokyang Energen Corporation engages in the manufacturing and sale of industrial gases. It offers hydrogen, oxygen, nitrogen, and other industrial gases. The company is headquartered in Yeosu-si, South Korea.

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Frequently asked questions

Is Deokyang Energen Corporation (0001A0) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 3,063 KRW versus a price of 9,010 KRW — about −66% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 0001A0?
Our 21-model fair value for Deokyang Energen Corporation is 3,063 KRW (as of Jun 25, 2026), built from audited fundamentals. The current price is 9,010 KRW.
What is the quality score of 0001A0?
Deokyang Energen Corporation has a Quality Score of 87/100, 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.