No Va Land Investment Group (NVL) Fair Value & Analysis
Real Estate · VN · Market cap 31.7T VND
Fair value as of: Jun 25, 2026
Analysis
No Va Land Investment Group (NVL) currently trades at 12,300 VND, while our model-based Fair Value estimate is 12,354 VND — implying the stock looks roughly 0.4% undervalued today. We read business quality at 87/100 (high quality), in the Real Estate 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
No Va Land Investment Group Corporation, together with its subsidiaries, engages in real estate trading in Vietnam. The company engages in the residence project development; civil and industrial construction; and provision of design and management consultancy services, as well as real estate brokerage services. It is also involved in the leasing of factories and warehouses; management and investment consulting; short-term accommodation; and land use right auction activities, as well as real estate consulting and auction activities; and building picnic resorts. The company was formerly known as Thanh Nhon Trading Limited. No Va Land Investment Group Corporation was incorporated in 1992 and is headquartered in Ho Chi Minh City, Vietnam.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is No Va Land Investment Group (NVL) undervalued?
What is the fair value of NVL?
What is the quality score of NVL?
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.