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Tan De Tech Co (6867) Fair Value & Analysis

Consumer Cyclical · TW · Market cap 730M TWD

Price20.45 TWD
Fair Value30.18 TWD
Upside+47.6%
Quality95/100
Evidence: High Range 23.80 TWD – 37.68 TWD

Fair value as of: Jun 24, 2026

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Analysis

Tan De Tech Co (6867) currently trades at 20.45 TWD, while our model-based Fair Value estimate is 30.18 TWD — implying the stock looks roughly 47.6% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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

Tan De Tech Co., Ltd develops and sells automotive LED headlights for various car manufacturers. It also offers taillights, direction lights, fog lights, daytime running lights, and other vehicle exterior lighting fixtures. The company was founded in 2013 and is based in Douliu, Taiwan.

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Frequently asked questions

Is Tan De Tech Co (6867) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 30.18 TWD versus a price of 20.45 TWD — about +48% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 6867?
Our 21-model fair value for Tan De Tech Co is 30.18 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 20.45 TWD.
What is the quality score of 6867?
Tan De Tech Co 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.