Trusval Technology Co (6667) Fair Value & Analysis
Industrials · TW · Market cap 13.3B TWD
Fair value as of: Jun 24, 2026
Analysis
Trusval Technology Co (6667) currently trades at 291.50 TWD, while our model-based Fair Value estimate is 242.87 TWD — implying the stock looks roughly 16.7% 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
Trusval Technology Co., Ltd. provides solutions in the field of water supply system, waste treatment, and system integration. The company offers functional water supply systems, including CO2-DIW, O3-DIW, H2-DIW, and NH3-DIW dissolvers; and wastewater treatment processes that include waste acid De H2O2, waste solvent De H2O2, waste solvent De DMSO/DMSO2, waste water degrade IPA, and solvent reclaim, as well as reclaim of copper from waste copper sulfate. It also provides system integration solutions, such as chemical supply, slurry supply, gas supply, waste chemical collection, and automatic electronics control systems; and engages in the design and manufacture of chemical supply / mixing equipment, electrical control engineering design, and on-site piping construction. In addition, the company is involved in the semiconductor business. Trusval Technology Co., Ltd. was founded in 1995 and is based in Miaoli, Taiwan.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Trusval Technology Co (6667) undervalued?
What is the fair value of 6667?
What is the quality score of 6667?
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.