Ecopro Hn. Co (383310) Fair Value & Analysis
Industrials · KR · Market cap 590B KRW
Fair value as of: Jun 24, 2026
Analysis
Ecopro Hn. Co (383310) currently trades at 28,050 KRW, while our model-based Fair Value estimate is 10,812 KRW — implying the stock looks roughly 61.5% overvalued today. We read business quality at 95/100 (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: medium).
About the company
Ecopro Hn. Co., Ltd. focuses on the development of air pollution control materials and parts in South Korea. The company offers air environment solutions, including clean room chemical filters and equipment fan filters; chemical materials, such as ecosorb IAC, VOCs oxidation catalyst, composite odor catalyst, PFC decomposition catalyst, CO+VOCs+O3 catalyst, and SCR catalyst; greenhouse gas mitigation solutions comprising PFCs treatment technology, hybrid PFCs decomposition, and De-N2O and NOc treatment technology systems; and fine dust reduction solutions which include thermal storage combustion, catalyst combustion, concentrator and combustion, microwave VOCs removal, SCR, SNCR, MDS, adsorption, and absorption facility. It also provides water treatment, waste water treatment, and reused water treatment processes. In addition, the company is involved in research and development of absorbent and chemical filter, environment catalyst, microwave VOCs reduction systems, and batter/elect…
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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.