Formetal Co (119500) Fair Value & Analysis
Industrials · KR · Market cap 36.3B KRW
Fair value as of: Jun 24, 2026
Analysis
Formetal Co (119500) currently trades at 2,580 KRW, while our model-based Fair Value estimate is 2,551 KRW — implying the stock looks roughly 1.1% overvalued today. We read business quality at 95/100 (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
Formetal Co., Ltd. operates as a metal forging company in Korea. It is involved in free, metal, composite, and non-ferrous metal forging activities. The company provides RV gears, hold flanges, and shafts for the wind power generation industry; eyes, ice cleats, sprockets, oil caps, wear rings, hubs, wheels, and alex arms for the defense industry; and boom, center, and front bearings, as well as sprockets for the industrial machinery industry. It also provides yokes, spindles, steering knuckles, arms, rack pistons, pitman arms, sector shafts, poles, and fork shifts for automobile parts; connecting rods, and crank and cam shafts for agricultural machinery; and wheels, cylinders, hubs, oil caps, and strut spades for other industry applications. The company was formerly known as Hyup Jin Metal Forging Ind. Co., Ltd. and changed its name to Formetal Co., Ltd. in December 2009. Formetal Co., Ltd. was founded in 1969 and is based in Seosan-si, South Korea.
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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.