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Patria Private Equity Trust plc (PPET) Fair Value & Analysis

Financial Services · GB · Market cap 913M GBX

Pricep6.08
Fair Valuep12.03
Upside+97.9%
Quality95/100
Evidence: Medium Range p9.02 – p15.04

Analysis

Patria Private Equity Trust plc (PPET) currently trades at p6.08, while our model-based Fair Value estimate is p12.03 — implying the stock looks roughly 97.9% undervalued today. We read business quality at 95/100 (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: medium) — always confirm before acting.

About the company

Patria Private Equity Trust plc is a private equity/ buyouts fund specializing in fund of funds and direct investments. It seeks to invest in mid-market management buyouts and expansion capital. It focuses on investments in information technology, healthcare, industrials, consumer discretionary, consumer staples, oil and gas services, financials, educational publishing, aero-engineering, and capital goods outside Europe. Within funds of fund investments, it seeks to invest in private equity funds focused on mid-to-large buyouts. The fund prefers to invest in companies based in Europe and North America. It seeks to invest in funds investing in companies with enterprise values ranging between EUR 100 million ($115.61 million) and EUR 1000 million ($1150.8 million). It prefers to have majority stake in companies.

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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.