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Micro Friend Inc (147760) Fair Value & Analysis

Technology · KR · Market cap 95.0B KRW

Price4,375 KRW
Fair Value2,458 KRW
Upside-43.8%
Quality95/100
Evidence: Low Range 1,844 KRW – 3,073 KRW

Fair value as of: Jun 24, 2026

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Analysis

Micro Friend Inc (147760) currently trades at 4,375 KRW, while our model-based Fair Value estimate is 2,458 KRW — implying the stock looks roughly 43.8% 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

Micro Friend Inc. produces and sells semiconductor inspection equipment in South Korea and internationally. The company offers probe cards, an interface equipment that connects prober and tester to test water function. It also provides vertical micro electro mechanical system (MEMS), 2D MEMS, and 3D MEMS springs; non-memory probe card, including application processor, CMOS image sensor, and liquidity crystal display driver. In addition, the company offers sockets and other products. Micro Friend Inc. was founded in 2004 and is based in Seoul, South Korea.

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Frequently asked questions

Is Micro Friend Inc (147760) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 2,458 KRW versus a price of 4,375 KRW — about −44% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 147760?
Our 21-model fair value for Micro Friend Inc is 2,458 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 4,375 KRW.
What is the quality score of 147760?
Micro Friend Inc 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.