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Exicon Co (092870) Fair Value & Analysis

Technology · KR · Market cap 372B KRW

Price20,200 KRW
Fair Value16,480 KRW
Upside-18.4%
Quality95/100
Evidence: High Range 15,135 KRW – 16,480 KRW

Fair value as of: Jun 24, 2026

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Analysis

Exicon Co (092870) currently trades at 20,200 KRW, while our model-based Fair Value estimate is 16,480 KRW — implying the stock looks roughly 18.4% 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: high).

About the company

Exicon Co., Ltd. operates as a semiconductor test solution company in Korea and internationally. The company offers memory, storage, and system on chip testers, as well as embedded memory testers in burn-in; and test services. Exicon Co., Ltd. was founded in 2001 and is headquartered in Seongnam-si, South Korea.

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Frequently asked questions

Is Exicon Co (092870) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 16,480 KRW versus a price of 20,200 KRW — about −18% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 092870?
Our 21-model fair value for Exicon Co is 16,480 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 20,200 KRW.
What is the quality score of 092870?
Exicon 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.