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DSM Corporation (104040) Fair Value & Analysis

Consumer Cyclical · KR · Market cap 51.6B KRW

Price1,559 KRW
Fair Value1,663 KRW
Upside+6.7%
Quality95/100
Evidence: Medium Range 1,247 KRW – 2,079 KRW

Fair value as of: Jun 24, 2026

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Analysis

DSM Corporation (104040) currently trades at 1,559 KRW, while our model-based Fair Value estimate is 1,663 KRW — implying the stock looks roughly 6.7% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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

DSM Corporation, a physical AI company that designs, develops, manufactures, and provides solutions for mobility, energy, and spatial experiences. The company offers automotive seat components and photovoltaic and solar thermal solutions. It also offers robotics, AI, and spatial computing technologies to create a spatial game platform. The company was formerly known as Daesung Finetec Co.,Ltd. and changed its name to DSM Corporation in April 2026. The company was founded in 1988 and is headquartered in Changwon-si, South Korea.

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Frequently asked questions

Is DSM Corporation (104040) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 1,663 KRW versus a price of 1,559 KRW — about +7% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 104040?
Our 21-model fair value for DSM Corporation is 1,663 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 1,559 KRW.
What is the quality score of 104040?
DSM Corporation 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.