Univentures Public Company (UV) Fair Value & Analysis
Utilities · TH · Market cap 1.6B THB
Fair value as of: Jun 26, 2026
Analysis
Univentures Public Company (UV) currently trades at 0.8300 THB, while our model-based Fair Value estimate is 1.16 THB — implying the stock looks roughly 39.6% undervalued today. We read business quality at 80/100 (high quality), in the Utilities 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
Univentures Public Company Limited engages in the property development business in Thailand. It develops, sells, and manages condominiums, as well as rents commercial buildings. The company also manufactures and distributes zinc oxide powder and chemicals. In addition, it provides finance, management, and investment consulting services; consulting and construction management services that include design of architectural and engineering services; and corporate registration and juristic management broker services, as well as act as a real estate broker and agent. Further, the company sells time recorders and parking control equipment, and electronics equipment; produce and distributes electricity; generates electricity from solar; and manufactures and distributes commercial refrigerators. The company was founded in 1980 and is headquartered in Bangkok, Thailand. Univentures Public Company Limited is a subsidiary of Adelfos Company Limited.
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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.