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Mecaro Co (241770) Fair Value & Analysis

Technology · KR · Market cap 466B KRW

Price43,700 KRW
Fair Value21,481 KRW
Upside-50.8%
Quality95/100
Evidence: High Range 16,111 KRW – 26,852 KRW

Fair value as of: Jun 24, 2026

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Analysis

Mecaro Co (241770) currently trades at 43,700 KRW, while our model-based Fair Value estimate is 21,481 KRW — implying the stock looks roughly 50.8% 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

Mecaro Co., Ltd. engages in the development, manufacturing, and sales of semiconductor equipment parts in South Korea, China, and internationally. It offers heater blocks for semiconductors. The company was founded in 1999 and is headquartered in Pyeongtaek-si, South Korea.

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Frequently asked questions

Is Mecaro Co (241770) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 21,481 KRW versus a price of 43,700 KRW — about −51% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 241770?
Our 21-model fair value for Mecaro Co is 21,481 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 43,700 KRW.
What is the quality score of 241770?
Mecaro 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.