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Varopakorn Public Company (VARO) Fair Value & Analysis

Basic Materials · TH · Market cap 400M THB

Price3.98 THB
Fair Value11.82 THB
Upside+197.0%
Quality95/100
Evidence: High Range 8.86 THB – 14.77 THB

Fair value as of: Jun 25, 2026

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Analysis

Varopakorn Public Company (VARO) currently trades at 3.98 THB, while our model-based Fair Value estimate is 11.82 THB — implying the stock looks roughly 197.0% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.

About the company

Varopakorn Public Company Limited engages in the manufacture and distribution of semi-finished aluminum products in Thailand, Asia, Oceania, the United States, and Europe. Varopakorn Public Company Limited was founded in 1979 and is headquartered in Bangkok, Thailand.

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Frequently asked questions

Is Varopakorn Public Company (VARO) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 11.82 THB versus a price of 3.98 THB — about +197% (undervalued). Model-based estimate, not financial advice.
What is the fair value of VARO?
Our 21-model fair value for Varopakorn Public Company is 11.82 THB (as of Jun 25, 2026), built from audited fundamentals. The current price is 3.98 THB.
What is the quality score of VARO?
Varopakorn Public 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.