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Temc Co (425040) Fair Value & Analysis

Basic Materials · KR · Market cap 407B KRW

Price13,420 KRW
Fair Value13,887 KRW
Upside+3.5%
Quality80/100
Evidence: Medium Range 9,721 KRW – 18,054 KRW

Fair value as of: Jun 24, 2026

Analysis

Temc Co (425040) currently trades at 13,420 KRW, while our model-based Fair Value estimate is 13,887 KRW — implying the stock looks roughly 3.5% undervalued today. We read business quality at 80/100 (high quality), in the Basic Materials 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

Temc Co., Ltd., a specialized material company, manufactures and sells special gases and medical gases for use in semiconductor and display processes. It also offers various semiconductor gases related equipment. The company was founded in 2015 and is headquartered in Boeun-Gun, South Korea.

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Frequently asked questions

Is Temc Co (425040) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 13,887 KRW versus a price of 13,420 KRW — about +3% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 425040?
Our 21-model fair value for Temc Co is 13,887 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 13,420 KRW.
What is the quality score of 425040?
Temc Co has a Quality Score of 80/100, 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.