Allpark Empreendimentos, Participações e Serviços S.A (ALPK3) Fair Value & Analysis
Industrials · BR · Market cap R$945M
Fair value as of: Jun 24, 2026
Analysis
Allpark Empreendimentos, Participações e Serviços S.A (ALPK3) currently trades at R$4.41, while our model-based Fair Value estimate is R$7.33 — implying the stock looks roughly 66.2% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Allpark Empreendimentos, Participações e Serviços S.A. provides mobility and parking solutions in Brazil. It operates through Leased and Managed Locations, Owned Locations, Public Concessions (Off-Street), Public Concessions (On-Street), Long-Term Contracts, Digital, and Other segments. The company operates parking lots in commercial buildings, shopping malls, hospitals, educational institutions, banks and land; and outside public roads, including airports and underground garages. It also offers AppZul+, which allows customers to purchase and activate blue zones, pay for parking, purchase insurance, pay fees and vehicle fines, and other services. In addition, the company provides technical administration, advisory, and planning services related to vehicle parking. Further, it invests in parking meters, infrastructure, signage, and initial permits in municipalities. The company was incorporated in 1981 and is based in São Paulo, Brazil.
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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.