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Handok Clean Tech Co (256150) Fair Value & Analysis

Industrials · KR · Market cap 36.7B KRW

Price4,475 KRW
Fair Value4,952 KRW
Upside+10.7%
Quality95/100
Evidence: Medium Range 3,714 KRW – 6,025 KRW

Fair value as of: Jun 24, 2026

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Analysis

Handok Clean Tech Co (256150) currently trades at 4,475 KRW, while our model-based Fair Value estimate is 4,952 KRW — implying the stock looks roughly 10.7% 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: medium) — always confirm before acting.

About the company

Handok Clean Tech Co., Ltd. produces and sells filters for water purifiers in South Korea. It offers standard carbon block filters, refrigerator filters, and customized filters; PE sediment filters; and deodorizing filters for air purifiers. The company was founded in 1990 and is based in Daejeon, South Korea.

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Frequently asked questions

Is Handok Clean Tech Co (256150) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 4,952 KRW versus a price of 4,475 KRW — about +11% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 256150?
Our 21-model fair value for Handok Clean Tech Co is 4,952 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 4,475 KRW.
What is the quality score of 256150?
Handok Clean Tech 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.