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MEGAELECTRONICS Co (226590) Fair Value & Analysis

Technology · KR · Market cap 170B KRW

Price12,550 KRW
Fair Value21,105 KRW
Upside+68.2%
Quality90/100
Evidence: Medium Range 15,564 KRW – 26,646 KRW

Fair value as of: Jun 25, 2026

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Analysis

MEGAELECTRONICS Co (226590) currently trades at 12,550 KRW, while our model-based Fair Value estimate is 21,105 KRW — implying the stock looks roughly 68.2% undervalued today. We read business quality at 90/100 (high quality), in the Technology 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

MEGAELECTRONICS Co., Ltd. designs, manufactures, and sells storage devices in South Korea. It offers flash storage solid state drives and semiconductor storage devices for digital devices and data center servers. The company was founded in 2009 and is based in Gwacheon-si, South Korea.

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Frequently asked questions

Is MEGAELECTRONICS Co (226590) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 21,105 KRW versus a price of 12,550 KRW — about +68% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 226590?
Our 21-model fair value for MEGAELECTRONICS Co is 21,105 KRW (as of Jun 25, 2026), built from audited fundamentals. The current price is 12,550 KRW.
What is the quality score of 226590?
MEGAELECTRONICS Co has a Quality Score of 90/100, 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.