Tongyang Inc (001520) Fair Value & Analysis
Basic Materials · KR · Market cap 138B KRW
Fair value as of: Jun 25, 2026
Analysis
Tongyang Inc (001520) currently trades at 528.00 KRW, while our model-based Fair Value estimate is 1,090 KRW — implying the stock looks roughly 106.4% undervalued today. We read business quality at 92/100 (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
Tongyang Inc. manufactures and sells ready-mixed concrete materials. It manufactures and distributes construction materials, such as ready-mixed concrete and aggregates; and distributes construction materials, including ready-mixed concrete, steel reinforcement, thermal insulation materials, tiles, sanitary wares, and plaster boards. The company is also involved in housing construction projects for apartments, high-end residential facilities, and town houses; civil engineering activities, including the development of traffic facilities, such as roads and harbors, as well as living facilities; construction of building, shopping complexes, and residences; and remodeling services for greens, commercial real estate and apartments. In addition, it engages in designing, equipment supply, construction, and operation of cement plants, power plants, iron works, and chemical plants; centrifugal and axial fan, and blower; and environmental equipment. The company was formerly known as Tongyang …
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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.