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Lih Tai Construction Enterprise Co (5520) Fair Value & Analysis

Basic Materials · TW · Market cap 4.9B TWD

Price82.30 TWD
Fair Value150.21 TWD
Upside+82.5%
Quality89/100
Evidence: Medium Range 112.66 TWD – 189.59 TWD

Fair value as of: Jun 24, 2026

Analysis

Lih Tai Construction Enterprise Co (5520) currently trades at 82.30 TWD, while our model-based Fair Value estimate is 150.21 TWD — implying the stock looks roughly 82.5% undervalued today. We read business quality at 89/100 (high quality), in the Basic Materials 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: medium) — always confirm before acting.

About the company

Lih Tai Construction Enterprise Co., Ltd., together with its subsidiaries, produces and sells ready-mixed concrete products in Taiwan. The company was founded in 1965 and is based in Taipei, Taiwan.

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Frequently asked questions

Is Lih Tai Construction Enterprise Co (5520) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 150.21 TWD versus a price of 82.30 TWD — about +83% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 5520?
Our 21-model fair value for Lih Tai Construction Enterprise Co is 150.21 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 82.30 TWD.
What is the quality score of 5520?
Lih Tai Construction Enterprise Co has a Quality Score of 89/100, 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.