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sindoh Co (029530) Fair Value & Analysis

Industrials · KR · Market cap 364B KRW

Price39,800 KRW
Fair Value47,633 KRW
Upside+19.7%
Quality95/100
Evidence: High Range 35,725 KRW – 59,542 KRW

Fair value as of: Jun 24, 2026

Analysis

sindoh Co (029530) currently trades at 39,800 KRW, while our model-based Fair Value estimate is 47,633 KRW — implying the stock looks roughly 19.7% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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: high) — always confirm before acting.

About the company

sindoh Co.,Ltd. manufactures and sells printers, multi-functional machines, and office solutions in Korea and internationally. It offers digital color and mono multi-function printers; color and mono laser printers; and 3D printers. sindoh Co.,Ltd. was founded in 1960 and is based in Seoul, South Korea.

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Frequently asked questions

Is sindoh Co (029530) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 47,633 KRW versus a price of 39,800 KRW — about +20% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 029530?
Our 21-model fair value for sindoh Co is 47,633 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 39,800 KRW.
What is the quality score of 029530?
sindoh 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.