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Rifa Co (000760) Fair Value & Analysis

Basic Materials · KR · Market cap 35.2B KRW

Price11,000 KRW
Fair Value12,353 KRW
Upside+12.3%
Quality80/100
Evidence: Medium Range 9,265 KRW – 12,353 KRW

Fair value as of: Jun 25, 2026

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Analysis

Rifa Co (000760) currently trades at 11,000 KRW, while our model-based Fair Value estimate is 12,353 KRW — implying the stock looks roughly 12.3% 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: medium) — always confirm before acting.

About the company

Rifa Co.,Ltd. engages in the wholesale of dyestuffs and chemicals in South Korea. It offers reactive, disperse, acid, cationic, fluorescent, direct, leather, mordant, VAT, and sulphur dyestuffs. The company also sells organic/inorganic chemicals, such as food additives and solvents. In addition, it is involved in the transportation activities; and leasing of land and building. Rifa Co.,Ltd. was founded in 1950 and is headquartered in Seoul, South Korea.

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Frequently asked questions

Is Rifa Co (000760) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 12,353 KRW versus a price of 11,000 KRW — about +12% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 000760?
Our 21-model fair value for Rifa Co is 12,353 KRW (as of Jun 25, 2026), built from audited fundamentals. The current price is 11,000 KRW.
What is the quality score of 000760?
Rifa Co 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.