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GrandTech C.G. Systems Inc (6123) Fair Value & Analysis

Technology · TW · Market cap 2.8B TWD

Price42.25 TWD
Fair Value71.51 TWD
Upside+69.3%
Quality80/100
Evidence: Medium Range 53.22 TWD – 89.80 TWD

Fair value as of: Jun 24, 2026

Analysis

GrandTech C.G. Systems Inc (6123) currently trades at 42.25 TWD, while our model-based Fair Value estimate is 71.51 TWD — implying the stock looks roughly 69.3% undervalued today. We read business quality at 80/100 (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

GrandTech C.G. Systems Inc. provides marketing services for graphics, imaging, and multimedia design software in Taiwan. The company distributes 2D and 3D professional software products; digital printing equipment and solutions; and IT software and hardware products for enterprises, as well as IT product integration and cloud services. It also operates in Hong Kong, China, Singapore, Malaysia, Indonesia, and internationally. The company was founded in 1991 and is based in Taipei City, Taiwan.

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Frequently asked questions

Is GrandTech C.G. Systems Inc (6123) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 71.51 TWD versus a price of 42.25 TWD — about +69% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 6123?
Our 21-model fair value for GrandTech C.G. Systems Inc is 71.51 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 42.25 TWD.
What is the quality score of 6123?
GrandTech C.G. Systems Inc 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.