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Techcential International Ltd (6616) Fair Value & Analysis

Consumer Cyclical · TW · Market cap 341M TWD

Price9.15 TWD
Fair Value5.86 TWD
Upside-36.0%
Quality95/100
Evidence: Medium Range 3.88 TWD – 7.84 TWD

Fair value as of: Jun 24, 2026

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Analysis

Techcential International Ltd (6616) currently trades at 9.15 TWD, while our model-based Fair Value estimate is 5.86 TWD — implying the stock looks roughly 36.0% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: medium).

About the company

Techcential International Ltd engages in the manufacture and sale of American wooden bedroom furniture products worldwide. The company offers five-piece bedroom furniture. It also engages in the manufacturing and sales of wooden kitchen cabinets and furniture; management consulting; fuel manufacturing and sales, and rental equipment; procurement, processing and manufacturing of boards, rubber wood raw materials. Techcential International Ltd was founded in 2001 and is based in Muar, Malaysia.

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Frequently asked questions

Is Techcential International Ltd (6616) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 5.86 TWD versus a price of 9.15 TWD — about −36% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 6616?
Our 21-model fair value for Techcential International Ltd is 5.86 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 9.15 TWD.
What is the quality score of 6616?
Techcential International Ltd 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.