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Pangrim Co (003610) Fair Value & Analysis

Consumer Cyclical · KR · Market cap 170B KRW

Price5,030 KRW
Fair Value3,553 KRW
Upside-29.4%
Quality95/100
Evidence: Medium Range 2,665 KRW – 4,441 KRW

Fair value as of: Jun 25, 2026

Analysis

Pangrim Co (003610) currently trades at 5,030 KRW, while our model-based Fair Value estimate is 3,553 KRW — implying the stock looks roughly 29.4% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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

Pangrim Co., Ltd. engages in the manufacture and sale of textile products in South Korea and internationally. It produces a range of fabrics. The company was formerly known as PangRim Textile Co., Ltd. and changed its name to Pangrim Co., Ltd. in 1991. Pangrim Co., Ltd. was founded in 1963 and is headquartered in Seoul, South Korea.

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Frequently asked questions

Is Pangrim Co (003610) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 3,553 KRW versus a price of 5,030 KRW — about −29% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 003610?
Our 21-model fair value for Pangrim Co is 3,553 KRW (as of Jun 25, 2026), built from audited fundamentals. The current price is 5,030 KRW.
What is the quality score of 003610?
Pangrim 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.