Perpetual Limited (PPTTF) Fair Value & Analysis
Financial Services · US · Market cap $1.4B
Fair value as of: Jun 25, 2026
Analysis
Perpetual Limited (PPTTF) currently trades at $12.20, while our model-based Fair Value estimate is $6.59 — implying the stock looks roughly 46.0% overvalued today. We read business quality at 95/100 (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: medium).
About the company
Perpetual Limited is a publicly owned investment manager. The firm offers a range of financial products and services in Australia. The company provides funds management, portfolio management, financial planning, trustee, responsible entity and compliance services, executor services, investment administration and custody services, and mortgage processing services. It offers investment capabilities across a range of asset classes, including Australian and global equities, mortgages, cash and fixed interest, and Australian listed property. The company also provides specialist direct-to-client financial services for high net worth individuals that include fiduciary services, such as trust advice and services, custodial solutions, estate planning, estate administration, and executorial services; independent financial advice services with specialist and "do-it-yourself' superannuation offerings; and philanthropic services. In addition, it offers corporate trustee and transaction support s…
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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.