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SAMRYOONG Co (014970) Fair Value & Analysis

Consumer Cyclical · KR · Market cap 76.2B KRW

Price4,620 KRW
Fair Value4,355 KRW
Upside-5.7%
Quality95/100
Evidence: High Range 3,441 KRW – 6,888 KRW

Fair value as of: Jun 24, 2026

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Analysis

SAMRYOONG Co (014970) currently trades at 4,620 KRW, while our model-based Fair Value estimate is 4,355 KRW — implying the stock looks roughly 5.7% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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

SAMRYOONG Co.,Ltd provides liquid packaging products in South Korea. It offers carton pack, a square pillar form of liquid packaging container that can hold milk, juice, and soft drinks. The company is also involved in the real estate rental business. SAMRYOONG Co.,Ltd was founded in 1980 and is headquartered in Bucheon-si, South Korea.

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Frequently asked questions

Is SAMRYOONG Co (014970) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 4,355 KRW versus a price of 4,620 KRW — about −6% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 014970?
Our 21-model fair value for SAMRYOONG Co is 4,355 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 4,620 KRW.
What is the quality score of 014970?
SAMRYOONG 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.