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Carma Limited (CMA) Fair Value & Analysis

Consumer Cyclical · AU · Market cap A$96.9M

PriceA$0.7550
Fair ValueA$0.5100
Upside-32.5%
Quality87/100
Evidence: Low Range A$0.3400 – A$0.6400

Fair value as of: Jun 25, 2026

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Analysis

Carma Limited (CMA) currently trades at A$0.7550, while our model-based Fair Value estimate is A$0.5100 — implying the stock looks roughly 32.5% overvalued today. We read business quality at 87/100 (high quality), in the Consumer Cyclical 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

Carma Limited operates a digital platform for buying and selling used cars in Australia. The company sells various types of used cars, such as SUVs, utes, hatchbacks, sedans, people movers, coupes, and convertibles. It also provides direct-from-consumer sourcing, inspection and inhouse reconditioning, AI-powered pricing, online retail, dealer-only wholesale auctions, financing and delivery services. Carma Limited was incorporated in 2021 and is based in Strawberry Hills, Australia.

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Frequently asked questions

Is Carma Limited (CMA) undervalued?
As of Jun 25, 2026, our model estimates a fair value of A$0.5100 versus a price of A$0.7550 — about −32% (overvalued). Model-based estimate, not financial advice.
What is the fair value of CMA?
Our 21-model fair value for Carma Limited is A$0.5100 (as of Jun 25, 2026), built from audited fundamentals. The current price is A$0.7550.
What is the quality score of CMA?
Carma Limited has a Quality Score of 87/100, 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.