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AztechWB Co (032080) Fair Value & Analysis

Consumer Cyclical · KR · Market cap 23.9B KRW

Price1,063 KRW
Fair Value1,683 KRW
Upside+58.4%
Quality95/100
Evidence: High Range 1,430 KRW – 2,212 KRW

Fair value as of: Jun 24, 2026

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Analysis

AztechWB Co (032080) currently trades at 1,063 KRW, while our model-based Fair Value estimate is 1,683 KRW — implying the stock looks roughly 58.4% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: high) — always confirm before acting.

About the company

AztechWB Co., Ltd. manufactures and sells textiles in South Korea. The company is involved in dyeing, spinning, weaving, and finishing wool and wool blended fabrics. It offers products under the Rossum brand name through its online shop. AztechWB Co., Ltd. was founded in 1969 and is headquartered in Busan, South Korea.

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Frequently asked questions

Is AztechWB Co (032080) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 1,683 KRW versus a price of 1,063 KRW — about +58% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 032080?
Our 21-model fair value for AztechWB Co is 1,683 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 1,063 KRW.
What is the quality score of 032080?
AztechWB 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.