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Vitru Educação S.A (VTRU3) Fair Value & Analysis

Consumer Defensive · BR · Market cap R$2.0B

PriceR$13.37
Fair ValueR$36.89
Upside+175.9%
Quality91/100
Evidence: High Range R$24.71 – R$54.54

Fair value as of: Jun 25, 2026

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Analysis

Vitru Educação S.A (VTRU3) currently trades at R$13.37, while our model-based Fair Value estimate is R$36.89 — implying the stock looks roughly 175.9% undervalued today. We read business quality at 91/100 (high quality), in the Consumer Defensive 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

Vitru Educação S.A., together with its subsidiaries, provides educational services in Brazil. It offers distance and on-site undergraduate, graduate, and technical and professional courses, as well as digital education services under the Uniasselvi and UniCesumar brands. The company was formerly known as Vitru Brasil Empreendimentos, Participações e Comércio S.A. and changed its name to Vitru Educação S.A. in December 2025. The company was incorporated in 2014 and is headquartered in São Paulo, Brazil.

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Frequently asked questions

Is Vitru Educação S.A (VTRU3) undervalued?
As of Jun 25, 2026, our model estimates a fair value of R$36.89 versus a price of R$13.37 — about +176% (undervalued). Model-based estimate, not financial advice.
What is the fair value of VTRU3?
Our 21-model fair value for Vitru Educação S.A is R$36.89 (as of Jun 25, 2026), built from audited fundamentals. The current price is R$13.37.
What is the quality score of VTRU3?
Vitru Educação S.A has a Quality Score of 91/100, 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.