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Seoam Machinery Industry Co (100660) Fair Value & Analysis

Industrials · KR · Market cap 43.3B KRW

Price4,420 KRW
Fair Value1,985 KRW
Upside-55.1%
Quality93/100
Evidence: High Range 1,489 KRW – 2,481 KRW

Fair value as of: Jun 24, 2026

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Analysis

Seoam Machinery Industry Co (100660) currently trades at 4,420 KRW, while our model-based Fair Value estimate is 1,985 KRW — implying the stock looks roughly 55.1% overvalued today. We read business quality at 93/100 (high quality), in the Industrials 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

Seoam Machinery Industry Co.,Ltd. produces, sells, and exports parts for various gears, chucks and cylinders, and curvic couplings in South Korea and internationally. It also offers special chuck, gear reduces and transmission, and industrial machinery, as well as reducers and special machines. The company was incorporated in 1978 and is based in Gwangju-si, South Korea.

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Frequently asked questions

Is Seoam Machinery Industry Co (100660) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 1,985 KRW versus a price of 4,420 KRW — about −55% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 100660?
Our 21-model fair value for Seoam Machinery Industry Co is 1,985 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 4,420 KRW.
What is the quality score of 100660?
Seoam Machinery Industry Co has a Quality Score of 93/100, 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.