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ASFLOW Co (159010) Fair Value & Analysis

Industrials · KR · Market cap 239B KRW

Price19,160 KRW
Fair Value10,767 KRW
Upside-43.8%
Quality95/100
Evidence: Low Range 8,075 KRW – 13,458 KRW

Fair value as of: Jun 24, 2026

Analysis

ASFLOW Co (159010) currently trades at 19,160 KRW, while our model-based Fair Value estimate is 10,767 KRW — implying the stock looks roughly 43.8% 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: low).

About the company

ASFLOW Co., LTD. provides filters, piping module, and semiconductor equipment in South Korea. Its products include tubes and pipes, fittings, valve and pressure regulators, and filter diffusers, as well as vacuum components. The company offers bio-industrial tubing and fittings. ASFLOW Co., LTD. was founded in 2000 and is based in Hwaseong-si, South Korea.

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Frequently asked questions

Is ASFLOW Co (159010) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 10,767 KRW versus a price of 19,160 KRW — about −44% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 159010?
Our 21-model fair value for ASFLOW Co is 10,767 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 19,160 KRW.
What is the quality score of 159010?
ASFLOW 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.