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Data Image Corporation (3168) Fair Value & Analysis

Technology · TW · Market cap 3.7B TWD

Price44.35 TWD
Fair Value71.97 TWD
Upside+62.3%
Quality80/100
Evidence: Medium Range 52.98 TWD – 90.36 TWD

Fair value as of: Jun 24, 2026

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Analysis

Data Image Corporation (3168) currently trades at 44.35 TWD, while our model-based Fair Value estimate is 71.97 TWD — implying the stock looks roughly 62.3% 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

Data Image Corporation designs, manufactures, and sells of liquid crystal display (LCD) modules and LCD touch modules in Taiwan and China. The company also manufactures, imports, and exports of medical equipment; and sells monitor, as well as engages in the investment and reinvestment activities. In addition, it provides display, capacitive touch pending, optical bonding, and cover glass technologies. It sells its products to marine, vehicle, and medical industries. The company was founded in 1997 and is headquartered in New Taipei City, Taiwan.

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Frequently asked questions

Is Data Image Corporation (3168) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 71.97 TWD versus a price of 44.35 TWD — about +62% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 3168?
Our 21-model fair value for Data Image Corporation is 71.97 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 44.35 TWD.
What is the quality score of 3168?
Data Image Corporation 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.