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CHUNGTAI RESOURCE Technology CORP. (6923) Fair Value & Analysis

Industrials · TW · Market cap 7.1B TWD

Price76.90 TWD
Fair Value56.58 TWD
Upside-26.4%
Quality95/100
Evidence: High Range 26.11 TWD – 74.98 TWD

Fair value as of: Jun 24, 2026

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Analysis

CHUNGTAI RESOURCE Technology CORP. (6923) currently trades at 76.90 TWD, while our model-based Fair Value estimate is 56.58 TWD — implying the stock looks roughly 26.4% 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

CHUNGTAI RESOURCE Technology CORP. engages in the waste removal and processing, and recycling of waste lighting sources and waste printed circuits in Taiwan and Japan. It offers services, including thermal cracking treatment system, waste removal, incineration thermal energy power generation and all-round processing, and laboratory systems services. The company was founded in 1990 and is based in Taoyuan City, Taiwan.

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Frequently asked questions

Is CHUNGTAI RESOURCE Technology CORP. (6923) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 56.58 TWD versus a price of 76.90 TWD — about −26% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 6923?
Our 21-model fair value for CHUNGTAI RESOURCE Technology CORP. is 56.58 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 76.90 TWD.
What is the quality score of 6923?
CHUNGTAI RESOURCE Technology 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.