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Kangdong C&L Co (198440) Fair Value & Analysis

Basic Materials · KR · Market cap 66.4B KRW

Price2,165 KRW
Fair Value850.34 KRW
Upside-60.7%
Quality95/100
Evidence: High Range 429.33 KRW – 1,052 KRW

Fair value as of: Jun 24, 2026

Analysis

Kangdong C&L Co (198440) currently trades at 2,165 KRW, while our model-based Fair Value estimate is 850.34 KRW — implying the stock looks roughly 60.7% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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

Kangdong C&L Co., Ltd. manufactures and sells cement in South Korea. It offers Portland, blast furnace slag, special, low heat, fly ash, and refined ash cement, as well as ready-mix concrete. The company was founded in 1962 and is headquartered in Jangseong-eup, South Korea.

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Frequently asked questions

Is Kangdong C&L Co (198440) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 850.34 KRW versus a price of 2,165 KRW — about −61% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 198440?
Our 21-model fair value for Kangdong C&L Co is 850.34 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 2,165 KRW.
What is the quality score of 198440?
Kangdong C&L 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.