Patria Investments Limited (PAX) Fair Value & Analysis
Financial Services · US · Market cap $1.8B
Analysis
Patria Investments Limited (PAX) currently trades at $10.76, while our model-based Fair Value estimate is $5.08 — implying the stock looks roughly 52.8% overvalued today. We read business quality at 93/100 (high quality), in the Financial Services 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
Patria Investments Limited operates as a private market investment firm. It specializes in investments in private equity, secondary direct and indirect and venture capital with focus in middle market, buyout and growth capital investments. It seeks to be sector agnostic with focus on agribusiness, power & energy, healthcare, logistics & transportations, food & beverage, agricultural products, packaged foods and meats, education services, outsourced business services, and digital & tech services. It prefers to invest globally with focus on Latin America, Europe, United States, North America and Brazil. It seeks to invest between $38.48 million and $72.14 million per transaction. The firm seeks a majority or minority stake in its portfolio companies. The company offers asset management services to investors focusing on private equity funds, infrastructure development funds, co-investments funds, constructivist equity funds, and real estate and credit funds. The firm seeks to co-invest…
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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.