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D.I Corporation (003160) Fair Value & Analysis

Technology · KR · Market cap 774B KRW

Price25,150 KRW
Fair Value17,333 KRW
Upside-31.1%
Quality86/100
Evidence: Medium Range 10,365 KRW – 22,830 KRW

Fair value as of: Jun 25, 2026

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Analysis

D.I Corporation (003160) currently trades at 25,150 KRW, while our model-based Fair Value estimate is 17,333 KRW — implying the stock looks roughly 31.1% overvalued today. We read business quality at 86/100 (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: medium).

About the company

D.I Corporation manufactures and supplies semiconductor inspection equipment in South Korea and internationally. It offers burn-in systems and testers, burn-in boards, and multi flexible testers for various devices. The company was founded in 1955 and is headquartered in Seoul, South Korea.

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Frequently asked questions

Is D.I Corporation (003160) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 17,333 KRW versus a price of 25,150 KRW — about −31% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 003160?
Our 21-model fair value for D.I Corporation is 17,333 KRW (as of Jun 25, 2026), built from audited fundamentals. The current price is 25,150 KRW.
What is the quality score of 003160?
D.I Corporation has a Quality Score of 86/100, 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.