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TUL Corporation (6150) Fair Value & Analysis

Technology · TW · Market cap 3.1B TWD

Price63.20 TWD
Fair Value52.69 TWD
Upside-16.6%
Quality95/100
Evidence: High Range 38.14 TWD – 65.87 TWD

Fair value as of: Jun 24, 2026

Analysis

TUL Corporation (6150) currently trades at 63.20 TWD, while our model-based Fair Value estimate is 52.69 TWD — implying the stock looks roughly 16.6% 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: high).

About the company

TUL Corporation engages in the manufacture of computer graphics card worldwide. The company offers gaming graphics cards, customized graphics cards for industrial control, SoC motherboards and systems, thunderbolt devices, and FPGA solutions. It also develops smart buildings, artificial intelligence biotechnology, and medical care. The company was formerly known as C.P. Technologies and changed its name to TUL Corporation in March 2004. TUL Corporation was founded in 1997 and is based in New Taipei City, Taiwan.

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Frequently asked questions

Is TUL Corporation (6150) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 52.69 TWD versus a price of 63.20 TWD — about −17% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 6150?
Our 21-model fair value for TUL Corporation is 52.69 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 63.20 TWD.
What is the quality score of 6150?
TUL Corporation has a Quality Score of 95/100, 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.