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CUROCOM Co (040350) Fair Value & Analysis

Technology · KR · Market cap 223B KRW

Price10,290 KRW
Fair Value1,300 KRW
Upside-87.4%
Quality95/100
Evidence: Low Range 974.76 KRW – 1,625 KRW

Fair value as of: Jun 24, 2026

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Analysis

CUROCOM Co (040350) currently trades at 10,290 KRW, while our model-based Fair Value estimate is 1,300 KRW — implying the stock looks roughly 87.4% 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: low).

About the company

CUROCOM Co., Ltd. develops a computer system for the financial institutions in South Korea and internationally. The company offers bank automation and network control system for Korea (BANCS-K). It also distributes IT products, such as LED monitors, TV monitors, and solid state drives. The company was founded in 1997 and is based in Seoul, South Korea.

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Frequently asked questions

Is CUROCOM Co (040350) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 1,300 KRW versus a price of 10,290 KRW — about −87% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 040350?
Our 21-model fair value for CUROCOM Co is 1,300 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 10,290 KRW.
What is the quality score of 040350?
CUROCOM 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.