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Black Pearl Group (BPG) Fair Value & Analysis

Technology · AU · Market cap A$50.9M

PriceA$0.4250
Fair ValueA$0.1200
Upside-71.8%
Quality87/100
Evidence: Low Range A$0.0900 – A$0.1800

Fair value as of: Jun 25, 2026

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Analysis

Black Pearl Group (BPG) currently trades at A$0.4250, while our model-based Fair Value estimate is A$0.1200 — implying the stock looks roughly 71.8% overvalued today. We read business quality at 87/100 (high quality), in the Technology 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

Black Pearl Group Limited, a technology company, builds, acquires, and markets data driven cloud-based services. It offers a suite of productivity and digital marketing applications for small and medium-sized businesses. The company was founded in 2012 and is based in Wellington, New Zealand.

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Frequently asked questions

Is Black Pearl Group (BPG) undervalued?
As of Jun 25, 2026, our model estimates a fair value of A$0.1200 versus a price of A$0.4250 — about −72% (overvalued). Model-based estimate, not financial advice.
What is the fair value of BPG?
Our 21-model fair value for Black Pearl Group is A$0.1200 (as of Jun 25, 2026), built from audited fundamentals. The current price is A$0.4250.
What is the quality score of BPG?
Black Pearl Group has a Quality Score of 87/100, 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.