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Trisul S.A (TRIS3) Fair Value & Analysis

Real Estate · BR · Market cap R$950M

PriceR$4.00
Fair ValueR$7.56
Upside+89.0%
Quality94/100
Evidence: High Range R$5.96 – R$13.32

Fair value as of: Jun 25, 2026

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Analysis

Trisul S.A (TRIS3) currently trades at R$4.00, while our model-based Fair Value estimate is R$7.56 — implying the stock looks roughly 89.0% undervalued today. We read business quality at 94/100 (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: high) — always confirm before acting.

About the company

Trisul S.A. engages in the construction and development of real estate properties in Brazil. The company is involved in the subdivision of plots of land; and purchase and sale of properties. It also develops real estate projects with ownership interest of third parties. Trisul S.A. was founded in 2007 and is headquartered in São Paulo, Brazil.

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Frequently asked questions

Is Trisul S.A (TRIS3) undervalued?
As of Jun 25, 2026, our model estimates a fair value of R$7.56 versus a price of R$4.00 — about +89% (undervalued). Model-based estimate, not financial advice.
What is the fair value of TRIS3?
Our 21-model fair value for Trisul S.A is R$7.56 (as of Jun 25, 2026), built from audited fundamentals. The current price is R$4.00.
What is the quality score of TRIS3?
Trisul S.A has a Quality Score of 94/100, 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.