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MoneyMe Limited (MME) Fair Value & Analysis

Financial Services · AU · Market cap A$67.5M

PriceA$0.0830
Fair ValueA$0.0909
Upside+9.5%
Quality95/100
Evidence: Low Range A$0.0641 – A$0.0909

Fair value as of: Jun 26, 2026

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Analysis

MoneyMe Limited (MME) currently trades at A$0.0830, while our model-based Fair Value estimate is A$0.0909 — implying the stock looks roughly 9.5% 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: low) — always confirm before acting.

About the company

MoneyMe Limited provides digital consumer finance services in Australia. The company offers various loans, including personal, car, refinance, medical expenses, student, home renovation, kitchen and bathroom renovation, wedding, boat, pet and cosmetic surgery, dental surgery, appliance purchase, travel, and holidays; autopay secured vehicle finance; credit cards; and debt consolidation. It provides its products under the MONEYME and SocietyOne brands through brokers; dealers; and direct channels, such as its website and mobile app. MoneyMe Limited was founded in 2013 and is based in Sydney, Australia.

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Frequently asked questions

Is MoneyMe Limited (MME) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.0909 versus a price of A$0.0830 — about +10% (undervalued). Model-based estimate, not financial advice.
What is the fair value of MME?
Our 21-model fair value for MoneyMe Limited is A$0.0909 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.0830.
What is the quality score of MME?
MoneyMe 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.