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Green World Fintech Service Co (6763) Fair Value & Analysis

Technology · TW · Market cap 8.9B TWD

Price46.25 TWD
Fair Value50.77 TWD
Upside+9.8%
Quality94/100
Evidence: High Range 36.41 TWD – 72.40 TWD

Fair value as of: Jun 24, 2026

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Analysis

Green World Fintech Service Co (6763) currently trades at 46.25 TWD, while our model-based Fair Value estimate is 50.77 TWD — implying the stock looks roughly 9.8% undervalued today. We read business quality at 94/100 (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: high) — always confirm before acting.

About the company

Green World Fintech Service Co., Ltd., a financial technology service company, provides third-party payment services in Taiwan. The company offers logistics collection and payment services, including credit cards, ATM teller machines, network ATMs and convenience store barcodes. It also provides logistics, electronic invoices, information security, card swiping machine, and project system construction services, mobile payments, and bank gateway systems. Green World Fintech Service Co., Ltd. was founded in 1996 and is based in Taipei, Taiwan.

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Frequently asked questions

Is Green World Fintech Service Co (6763) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 50.77 TWD versus a price of 46.25 TWD — about +10% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 6763?
Our 21-model fair value for Green World Fintech Service Co is 50.77 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 46.25 TWD.
What is the quality score of 6763?
Green World Fintech Service Co has a Quality Score of 94/100, 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.