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Chung Lien Co (5604) Fair Value & Analysis

Industrials · TW · Market cap 3.4B TWD

Price31.10 TWD
Fair Value15.31 TWD
Upside-50.8%
Quality95/100
Evidence: High Range 12.55 TWD – 17.51 TWD

Fair value as of: Jun 24, 2026

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Analysis

Chung Lien Co (5604) currently trades at 31.10 TWD, while our model-based Fair Value estimate is 15.31 TWD — implying the stock looks roughly 50.8% 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

Chung Lien Co., Ltd engages in the real estate leasing and selling business. It is also involved in retailing of computer information products and software; and provides information maintenance services. Chung Lien Co., Ltd was formerly known as Chung Lien Transportation Co., Ltd. Chung Lien Co., Ltd was incorporated in 1954 and is based in Taichung, Taiwan.

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Frequently asked questions

Is Chung Lien Co (5604) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 15.31 TWD versus a price of 31.10 TWD — about −51% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 5604?
Our 21-model fair value for Chung Lien Co is 15.31 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 31.10 TWD.
What is the quality score of 5604?
Chung Lien 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.