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Tu Liem Urban Development Joint Stock Company (NTL) Fair Value & Analysis

Industrials · VN · Market cap 1.9T VND

Price15,500 VND
Fair Value3,000 VND
Upside-80.6%
Quality95/100
Evidence: Medium Range 2,250 VND – 3,751 VND

Fair value as of: Jun 24, 2026

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Analysis

Tu Liem Urban Development Joint Stock Company (NTL) currently trades at 15,500 VND, while our model-based Fair Value estimate is 3,000 VND — implying the stock looks roughly 80.6% 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: medium).

About the company

Tu Liem Urban Development Joint Stock Company engages in field of construction and planning in urban areas in Vietnam. It is involved in constructing urban infrastructure; and trading houses and real estate. The company also provides services for apartment blocks; and real estate consulting. Tu Liem Urban Development Joint Stock Company was founded in 1974 and is headquartered in Hanoi, Vietnam.

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Frequently asked questions

Is Tu Liem Urban Development Joint Stock Company (NTL) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 3,000 VND versus a price of 15,500 VND — about −81% (overvalued). Model-based estimate, not financial advice.
What is the fair value of NTL?
Our 21-model fair value for Tu Liem Urban Development Joint Stock Company is 3,000 VND (as of Jun 24, 2026), built from audited fundamentals. The current price is 15,500 VND.
What is the quality score of NTL?
Tu Liem Urban Development Joint Stock Company 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.