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Seosan Corporation (079650) Fair Value & Analysis

Basic Materials · KR · Market cap 31.1B KRW

Price8,120 KRW
Fair Value10,484 KRW
Upside+29.1%
Quality80/100
Evidence: Low Range 7,863 KRW – 13,105 KRW

Fair value as of: Jun 24, 2026

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Analysis

Seosan Corporation (079650) currently trades at 8,120 KRW, while our model-based Fair Value estimate is 10,484 KRW — implying the stock looks roughly 29.1% undervalued today. We read business quality at 80/100 (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: low) — always confirm before acting.

About the company

Seosan Corporation produces and sells concrete mixers in South Korea. It also offers fume pipes, connectors, files, ready-mixed concrete, square tubes, electric poles, high-strength piles, and other products. The company was founded in 1974 and is headquartered in Gwangju, South Korea.

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Frequently asked questions

Is Seosan Corporation (079650) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 10,484 KRW versus a price of 8,120 KRW — about +29% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 079650?
Our 21-model fair value for Seosan Corporation is 10,484 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 8,120 KRW.
What is the quality score of 079650?
Seosan Corporation has a Quality Score of 80/100, 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.