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Regal Partners Global Investments Limited (RG1) Fair Value & Analysis

Financial Services · AU · Market cap A$557M

PriceA$2.44
Fair ValueA$0.3300
Upside-86.5%
Quality95/100
Evidence: Low Range A$0.2300 – A$0.4200

Fair value as of: Jun 26, 2026

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Analysis

Regal Partners Global Investments Limited (RG1) currently trades at A$2.44, while our model-based Fair Value estimate is A$0.3300 — implying the stock looks roughly 86.5% 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: low).

About the company

Regal Partners Global Investments Limited provides investors with access to a portfolio of long investments and short positions in global listed securities. The company was incorporated in 2017 and is based in Sydney, Australia.

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Frequently asked questions

Is Regal Partners Global Investments Limited (RG1) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.3300 versus a price of A$2.44 — about −86% (overvalued). Model-based estimate, not financial advice.
What is the fair value of RG1?
Our 21-model fair value for Regal Partners Global Investments Limited is A$0.3300 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$2.44.
What is the quality score of RG1?
Regal Partners Global Investments Limited has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.