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Fullerton Technology Co (6136) Fair Value & Analysis

Communication Services · TW · Market cap 2.9B TWD

Price25.20 TWD
Fair Value15.57 TWD
Upside-38.2%
Quality91/100
Evidence: High Range 11.42 TWD – 19.72 TWD

Fair value as of: Jun 24, 2026

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Analysis

Fullerton Technology Co (6136) currently trades at 25.20 TWD, while our model-based Fair Value estimate is 15.57 TWD — implying the stock looks roughly 38.2% overvalued today. We read business quality at 91/100 (high quality), in the Communication Services 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: high).

About the company

Fullerton Technology Co., Ltd. engages in the provision of communication services in Taiwan. The company offers ezBooking, a platform providing movie ticket booking and online e-ticket services; SaaS software online service e-commerce platform; and prepaid card communication services. It also provides entertainment services, online marketing services. In addition, the company is involved in the sale of electronic components and image services. Fullerton Technology Co., Ltd. was founded in 1981 and is based in New Taipei City, Taiwan.

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Frequently asked questions

Is Fullerton Technology Co (6136) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 15.57 TWD versus a price of 25.20 TWD — about −38% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 6136?
Our 21-model fair value for Fullerton Technology Co is 15.57 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 25.20 TWD.
What is the quality score of 6136?
Fullerton Technology Co has a Quality Score of 91/100, 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.