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Epoch Chemtronics Corp (3633) Fair Value & Analysis

Technology · TW · Market cap 4.1B TWD

Price125.00 TWD
Fair Value209.58 TWD
Upside+67.7%
Quality95/100
Evidence: High Range 157.18 TWD – 261.97 TWD

Fair value as of: Jun 24, 2026

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Analysis

Epoch Chemtronics Corp (3633) currently trades at 125.00 TWD, while our model-based Fair Value estimate is 209.58 TWD — implying the stock looks roughly 67.7% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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

Epoch Chemtronics Corp. manufactures and sells LED backlight modules, LGP, and LED lighting equipment in Taiwan. It offers automotive, industrial, consumer, and other displays. It also provides LED lighting products. The company was founded in 1997 and is based in Zhubei City, Taiwan.

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Frequently asked questions

Is Epoch Chemtronics Corp (3633) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 209.58 TWD versus a price of 125.00 TWD — about +68% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 3633?
Our 21-model fair value for Epoch Chemtronics Corp is 209.58 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 125.00 TWD.
What is the quality score of 3633?
Epoch Chemtronics Corp 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.