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Orizon Valorização de Resíduos S.A (ORVR3) Fair Value & Analysis

Industrials · BR · Market cap R$7.5B

PriceR$75.55
Fair ValueR$13.14
Upside-82.6%
Quality91/100
Evidence: High Range R$11.67 – R$16.42

Analysis

Orizon Valorização de Resíduos S.A (ORVR3) currently trades at R$75.55, while our model-based Fair Value estimate is R$13.14 — implying the stock looks roughly 82.6% overvalued today. We read business quality at 91/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).

About the company

Orizon Valorização de Resíduos S.A. operates as a waste recovery process company. It engages in ecoparks: disposal of solid waste; energy and renewable gas, circular economy, co-processing, CDR and reverse manufacturing, production of organic fertilizers, energy recovery unit, and carbon credits. The company also offers recovery of degraded areas, remediation of contaminated areas, environmental diagnosis and monitoring, waste management, cleaning environmental, and cleaning of oil industry tank services, as well as Uses biogas for energy generation. The company was formerly known as Haztec Investimentos e Participações S.A. and changed its name to Orizon Valorização de Resíduos S.A. in August 2020. Orizon Valorização de Resíduos S.A. was founded in 1999 and is based in São Paulo, Brazil. Orizon Valorização de Resíduos S.A. subsidiary of Inovatec Participações S.A.

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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.