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TricornTech Corporation (6909) Fair Value & Analysis

Industrials · TW · Market cap 3.0B TWD

Price60.40 TWD
Fair Value20.26 TWD
Upside-66.5%
Quality95/100
Evidence: High Range 15.51 TWD – 25.32 TWD

Fair value as of: Jun 24, 2026

Analysis

TricornTech Corporation (6909) currently trades at 60.40 TWD, while our model-based Fair Value estimate is 20.26 TWD — implying the stock looks roughly 66.5% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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

TricornTech Corporation manufactures and sells gas detection and pollution prevention equipment in Taiwan. It offers volatile organic compounds (VOC) analyzers for semiconductors, VOC analyzers, mobile sampling cart, and multi-channel smart integrated systems; environment-specific VOC analyzers; and special analyzers for soil and groundwater contamination application. The company was founded in 2013 and is based in New Taipei City, Taiwan.

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Frequently asked questions

Is TricornTech Corporation (6909) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 20.26 TWD versus a price of 60.40 TWD — about −66% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 6909?
Our 21-model fair value for TricornTech Corporation is 20.26 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 60.40 TWD.
What is the quality score of 6909?
TricornTech 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.