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Eclatorq Technology Co (6855) Fair Value & Analysis

Industrials · TW · Market cap 2.9B TWD

Price122.00 TWD
Fair Value150.87 TWD
Upside+23.7%
Quality95/100
Evidence: High Range 91.31 TWD – 191.08 TWD

Fair value as of: Jun 24, 2026

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Analysis

Eclatorq Technology Co (6855) currently trades at 122.00 TWD, while our model-based Fair Value estimate is 150.87 TWD — implying the stock looks roughly 23.7% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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

Eclatorq Technology Co., Ltd. manufactures and sells hand tools in Taiwan. The company offers digital torque wrenches, digital angle torque wrenches, digital adjustable spanners, digital mini torque wrenches, digital screwdrivers, and digital adaptors. It also provides wireless digital torque wrenches, digital torque testers, calibration equipment, and adaptors. Eclatorq Technology Co., Ltd. was founded in 2006 and is based in Taichung, Taiwan.

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Frequently asked questions

Is Eclatorq Technology Co (6855) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 150.87 TWD versus a price of 122.00 TWD — about +24% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 6855?
Our 21-model fair value for Eclatorq Technology Co is 150.87 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 122.00 TWD.
What is the quality score of 6855?
Eclatorq Technology 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.