QuickFee Limited (QFE) Fair Value & Analysis
Technology · AU · Market cap A$26.1M
Fair value as of: Jul 16, 2026
From 3 valuation models · updated 25 days ago
Share price +7.1% over the past month.
Below-average quality, and screening another 32% overvalued on our models.
What matters now
- Weak quality (20/100) and above fair value at the same time, the margin of safety is missing on both counts.
- The large gap to fair value rests on thin data (low evidence): fewer applicable models and a shorter history. Read it with extra caution.
- A fairly wide model range (A$0.0336 to A$0.0770) leaves room in how you read the outcome.
Price vs Fair Value (5 years)
White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Jul 16, 2026.
How to read this chart
60‑month range A$0.0394 – A$0.2672 · fair‑value band A$0.0336 – A$0.0770 · the A$0.0750 price screens above the A$0.0510 fair value. Green steps = our fair value per fiscal year (point-in-time, no hindsight). Dashed = 300-day average. As of Jul 16, 2026.
Analysis
QuickFee Limited (QFE) currently trades at A$0.0750, while our model-based Fair Value estimate is A$0.0510, implying the stock looks roughly 32.0% overvalued today. The Quality Score stands at 20/100 (below-average 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).
Trailing-twelve-month revenue stands at A$17.5M. Revenue declined 20.4% year over year. It earns a return on equity of 31.4%. Net debt stands at A$40.5M. Fundamentals as of Jul 16, 2026
Our scenario range runs from A$0.0336 (bear case) to A$0.0770 (bull case); at A$0.0750, the current price sits within that range. Bear and bull are the same models run on conservative and optimistic assumptions (margins, growth, valuation multiples), so a plausible valuation range, not a price target. The share trades about 41% below its 52-week high and 95% above its 52-week low, currently below its 200-day average. For context, the median of 10 Technology peers we cover trades at -50% fair-value upside, at -32%, QFE screens cheaper than that median.
Fair Value models
Each model estimates fair value its own way; the Fair Value above is the evidence-weighted blend. Evidence (0–100) measures how completely this model’s inputs are available: well-fed models carry more weight in the blend. The spread across models is intentional, each one stresses a different value driver; dividend models, for instance, come out structurally low when payout is small.
All 3 models by family
Widest divergence: Dividend Discount (A$0.6700) versus Asset-Based (A$0.0100). Highest evidence: Gordon GGM (70).
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Jul 16, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 16 · Market factors (momentum, volatility) 62
Non-valuation factor families (profitability, growth, cashflow, financial strength, momentum …), each academically grounded. Valuation itself sits in the Fair Value and is deliberately excluded here to avoid double-counting.
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.
Full company description
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.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
QuickFee Limited reported revenue of A$10.4M in FY2025 versus A$8.9M in FY2021, a compound +4.2%/yr. Reported net income was −A$4.3M in FY2025.
QFE screens 32% overvalued. Compare with Microsoft Corporation →
Peer Group
Software - Infrastructure · 370 stocks
How this stock ranks against its industry: the green marker is this stock, the band is the typical 25–75% peer range, and the tick is the median.
Valuation Multiples vs Software - Infrastructure median · lower = cheaper
Snowflake
Five quick dimensions, each 0 to 100: VALUE (fair-value potential), FUTURE (revenue growth), PAST (return on equity), HEALTH (low debt), DIVIDEND (yield). Green = this stock, grey = typical sector peer.
VALUE 0: the price sits above our fair-value range.
Values & ESG
Does this company touch areas you may want to avoid? The classification is inferred from sector and industry.
ESG scores are not available for this stock yet. Values and ESG data are contextual and can differ between providers.
Similar stocks
10 more Software - Infrastructure stocks, each showing price versus our Fair Value estimate (as of Jul 16, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Microsoft Corporation MSFT | $384.00 | $274.17 | -29% |
| Oracle Corporation ORAC | C$9.08 | C$2.94 | -68% |
| Fortinet, Inc FTNT | $160.78 | $44.96 | -72% |
| Synopsys, Inc 1SNPS | €354.50 | €93.61 | -74% |
| Block, Inc XYZ | A$114.53 | A$70.69 | -38% |
| CoreWeave, Inc CRWV | $79.94 | $44.89 | -44% |
| Range Intelligent Computing Technology Group 300442 | ¥71.60 | ¥34.00 | -53% |
| Oracle Financial Services Software Limited OFSS | ₹11,651 | ₹5,821 | -50% |
| 360 Security Technology Inc 601360 | ¥9.64 | ¥5.05 | -48% |
| One97 Communications Limited PAYTM | ₹1,342 | ₹181.50 | -86% |
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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.
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