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Yujin Robot Co (056080) Fair Value & Analysis

Technology · KR · Market cap 770B KRW

Price15,300 KRW
Fair Value3,062 KRW
Upside-80.0%
Quality95/100
Evidence: Low Range 2,297 KRW – 3,828 KRW

Fair value as of: Jun 24, 2026

Analysis

Yujin Robot Co (056080) currently trades at 15,300 KRW, while our model-based Fair Value estimate is 3,062 KRW — implying the stock looks roughly 80.0% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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: low).

About the company

Yujin Robot Co., Ltd. researches, develops, and supplies various service robots in Korea. The company offers autonomous mobility solution, vacuum cleaning robot, and smart assembly system. The company was founded in 1988 and is based in Incheon, South Korea.

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Frequently asked questions

Is Yujin Robot Co (056080) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 3,062 KRW versus a price of 15,300 KRW — about −80% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 056080?
Our 21-model fair value for Yujin Robot Co is 3,062 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 15,300 KRW.
What is the quality score of 056080?
Yujin Robot 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.