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Change Financial Limited (CCA) Fair Value & Analysis

Technology · AU · Market cap A$49.7M

PriceA$0.0780
Fair ValueA$0.0328
Upside-58.0%
Quality95/100
Evidence: High Range A$0.0250 – A$0.0328

Fair value as of: Jun 26, 2026

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Analysis

Change Financial Limited (CCA) currently trades at A$0.0780, while our model-based Fair Value estimate is A$0.0328 — implying the stock looks roughly 58.0% 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: high).

About the company

Change Financial Limited develops and commercializes payments management platform and payment testing solutions in South East Asia, Oceania, Latin America, the United States, and internationally. It offers Vertexon Payments as a Service (PaaS), a physical, digital, and virtual card issuing and transaction processing platform; and PaySim, a payment testing and certification solution. The company was formerly known as ChimpChange Limited and changed its name to Change Financial Limited in July 2017. Change Financial Limited was incorporated in 2011 and is based in Brisbane, Australia.

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Frequently asked questions

Is Change Financial Limited (CCA) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.0328 versus a price of A$0.0780 — about −58% (overvalued). Model-based estimate, not financial advice.
What is the fair value of CCA?
Our 21-model fair value for Change Financial Limited is A$0.0328 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.0780.
What is the quality score of CCA?
Change Financial 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.