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CYMECHS Inc (160980) Fair Value & Analysis

Technology · KR · Market cap 484B KRW

Price32,400 KRW
Fair Value27,351 KRW
Upside-15.6%
Quality95/100
Evidence: High Range 20,513 KRW – 34,189 KRW

Fair value as of: Jun 24, 2026

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Analysis

CYMECHS Inc (160980) currently trades at 32,400 KRW, while our model-based Fair Value estimate is 27,351 KRW — implying the stock looks roughly 15.6% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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

CYMECHS Inc., a tool automation company, engages in the provision of core system components for semiconductor manufacturing in South Korea. The company offers transfer-equipment, such as transfer modules, EFEM, aligners, LPM, ATM robot for EFEM, and vacuum robot with transfer chambers. It is also involved in the provision of intelligent robot solutions. The company was incorporated in 2005 and is headquartered in Hwaseong-si, South Korea.

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Frequently asked questions

Is CYMECHS Inc (160980) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 27,351 KRW versus a price of 32,400 KRW — about −16% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 160980?
Our 21-model fair value for CYMECHS Inc is 27,351 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 32,400 KRW.
What is the quality score of 160980?
CYMECHS Inc 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.