Vinci Compass Investments Ltd (VINP) Fair Value & Analysis
Financial Services · US · Market cap $639M
Analysis
Vinci Compass Investments Ltd (VINP) currently trades at $9.56, while our model-based Fair Value estimate is $10.44 — implying the stock looks roughly 9.2% undervalued today. We read business quality at 92/100 (high quality), in the Financial Services 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
Vinci Compass Investments Ltd. operates as an asset management firm in Brazil. It operates through six segments: Global Investment Products and Solutions (IP&S), Credit, Private Equity, Equities, Real Assets, and Corporate Advisory. The Global IP&S segment provides access to a network of general partners and asset managers. This segment also offers proprietary investment solutions; multi-asset allocation strategies, as well as portfolio and management services; and liquid and alternative, separate mandates, commingled funds, brokerage, pension plans, solutions, and Vinci retirement services. The Credit segment operates public and private credit, opportunistic capital solutions, and agribusiness credit businesses. The Private Equity segment focuses on control and co-control investments, and minority investments in small-to-medium enterprises. The Equities segment delivers investment solutions; and sub-strategies to address different investor profiles and market conditions, including …
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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.