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SIMMTECH Co (222800) Fair Value & Analysis

Technology · KR · Market cap 3.5T KRW

Price117,700 KRW
Fair Value50,386 KRW
Upside-57.2%
Quality95/100
Evidence: Medium Range 37,789 KRW – 62,982 KRW

Analysis

SIMMTECH Co (222800) currently trades at 117,700 KRW, while our model-based Fair Value estimate is 50,386 KRW — implying the stock looks roughly 57.2% 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: medium).

About the company

SIMMTECH Co., Ltd. engages in the developing and manufacturing of high-layer printed circuit boards (PCBs) for semiconductors worldwide. The company offers solid state drive module PCBs for notebook and desktop PC, server, computer, etc.; memory module PCBs, such as dual inline memory module (DIMM), small outline DIMM, and registered DIMM for Desktop PC, notebook PC, workstation, server, etc.; multi-layer module PCBs for server, super computer, etc.; and automotive boards for engine control unit, connectivity board, and ADAS. It also provides semiconductor package substrates, including board on chip for PC, server, and CXL memory module DRAM; wire bond chip scale package for mobile memory; and flip chip chip scale package for graphic card, game console, and automotive graphic DRAM. The company was founded in 1987 and is headquartered in Cheongju-si, South Korea.

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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.