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Simmtech Holdings (036710) Fair Value & Analysis

Technology · KR · Market cap 249B KRW

Price4,215 KRW
Fair Value1,513 KRW
Upside-64.1%
Quality80/100
Evidence: Low Range 1,134 KRW – 1,891 KRW

Fair value as of: Jun 24, 2026

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Analysis

Simmtech Holdings (036710) currently trades at 4,215 KRW, while our model-based Fair Value estimate is 1,513 KRW — implying the stock looks roughly 64.1% overvalued today. We read business quality at 80/100 (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

Simmtech Holdings Co., Ltd., through its subsidiaries, develops, manufactures, and sells printed circuit boards (PCBs) for semiconductors worldwide. The company was formerly known as SimmTech Co., Ltd. and changed its name to Simmtech Holdings Co., Ltd. in July 2015. Simmtech Holdings Co., Ltd. was founded in 1987 and is headquartered in Cheongju, South Korea.

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Frequently asked questions

Is Simmtech Holdings (036710) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 1,513 KRW versus a price of 4,215 KRW — about −64% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 036710?
Our 21-model fair value for Simmtech Holdings is 1,513 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 4,215 KRW.
What is the quality score of 036710?
Simmtech Holdings has a Quality Score of 80/100, 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.