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QuickFee Limited (QFE) Fair Value & Analysis

Technology · AU · Market cap A$26.8M

PriceA$0.0730
Fair ValueA$0.0636
Upside-12.9%
Quality95/100
Evidence: Low Range A$0.0393 – A$0.0955

Fair value as of: Jun 26, 2026

Analysis

QuickFee Limited (QFE) currently trades at A$0.0730, while our model-based Fair Value estimate is A$0.0636 — implying the stock looks roughly 12.9% overvalued today. We read business quality at 95/100 (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

QuickFee Limited provides a suite of payment and lending offerings through an online portal to professional, commercial, and homeowner services providers in Australia and the United States. The company's integrated online payment platform and financing solutions enable merchants to accept payments by ACH/EFT or card, payment plan/loan, or a "buy now, pay later' instalment plan through QuickFee Pay Now, QuickFee Finance, Financing or Pay Over Time, and Q Pay Plan solutions. It also provides QuickFee CONNECT solution that automates client's invoice. QuickFee Limited was founded in 2009 and is based in Sydney, Australia.

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Frequently asked questions

Is QuickFee Limited (QFE) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.0636 versus a price of A$0.0730 — about −13% (overvalued). Model-based estimate, not financial advice.
What is the fair value of QFE?
Our 21-model fair value for QuickFee Limited is A$0.0636 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.0730.
What is the quality score of QFE?
QuickFee 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.