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Plenti Group (PLT) Fair Value & Analysis

Financial Services · AU · Market cap A$146M

PriceA$0.8000
Fair ValueA$1.02
Upside+27.5%
Quality95/100
Evidence: High Range A$0.7600 – A$1.27

Fair value as of: Jun 26, 2026

Analysis

Plenti Group (PLT) currently trades at A$0.8000, while our model-based Fair Value estimate is A$1.02 — implying the stock looks roughly 27.5% 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: high) — always confirm before acting.

About the company

Plenti Group Limited operates as a digital lender company to consumer and commercial borrowers in Australia. It personal, car, debt consolidation, holiday, EV, green, wedding, motorcycle, caravan, dental, funeral, education, jet ski, moving costs, secured car, unsecured personal, and car repair loans, as well renewable energy loans. The company also provides auto refinancing; and invest in fixed income, green income, and provision fund. Plenti Group Limited was founded in 2014 and is headquartered in Sydney, Australia.

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Frequently asked questions

Is Plenti Group (PLT) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$1.02 versus a price of A$0.8000 — about +28% (undervalued). Model-based estimate, not financial advice.
What is the fair value of PLT?
Our 21-model fair value for Plenti Group is A$1.02 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.8000.
What is the quality score of PLT?
Plenti Group 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.