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PI Advanced Materials Co (178920) Fair Value & Analysis

Basic Materials · KR · Market cap 700B KRW

Price19,950 KRW
Fair Value17,590 KRW
Upside-11.8%
Quality95/100
Evidence: High Range 13,192 KRW – 21,987 KRW

Fair value as of: Jun 24, 2026

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Analysis

PI Advanced Materials Co (178920) currently trades at 19,950 KRW, while our model-based Fair Value estimate is 17,590 KRW — implying the stock looks roughly 11.8% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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: high).

About the company

PI Advanced Materials Co., Ltd. engages in the manufacture and sale of polyimide-based materials in South Korea. It offers PI film, and PI varnish and power/mold products for use in IT, electric vehicles, display, semiconductor, and advance industrials. The company was formerly known as SKCKOLONPI, Inc. and changed its name to PI Advanced Materials Co., Ltd. in May 2020. The company was founded in 2001 and is based in Seoul, South Korea.

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Frequently asked questions

Is PI Advanced Materials Co (178920) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 17,590 KRW versus a price of 19,950 KRW — about −12% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 178920?
Our 21-model fair value for PI Advanced Materials Co is 17,590 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 19,950 KRW.
What is the quality score of 178920?
PI Advanced Materials 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.