Te Chang Construction Co (5511) Fair Value & Analysis
Industrials · TW · Market cap 8.6B TWD
Fair value as of: Jun 25, 2026
Analysis
Te Chang Construction Co (5511) currently trades at 76.20 TWD, while our model-based Fair Value estimate is 180.91 TWD — implying the stock looks roughly 137.4% undervalued today. We read business quality at 94/100 (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
Te Chang Construction Co., Ltd. engages in the construction contracting and civil engineering business in Taiwan and Thailand. The company undertakes various projects, such as public buildings, hospital, school, social housing, redevelopment of national housing and military dependents' villages, technology plants, commercial buildings, office buildings, civil engineering, and other projects. It also provides electrical, mechanical, fire-fighting, and air-conditioning equipment engineering services; construction planning, design, and management services; and general advertisement services. In addition, the company is involved in the rental and sale of residential and buildings; wastewater treatment and integrated manufacturing business; operates general retail and department stores; manufactures tires, bicycles, and bicycle parts, as well as mortar, ready-mixed concrete, and household stones; wholesales and retails building materials; and trades in real estate. Te Chang Construction …
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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.