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Carnegie Clean Energy Limited (CCE) Fair Value & Analysis

Utilities · AU · Market cap A$63.2M

PriceA$0.1350
Fair ValueA$0.0900
Upside-33.3%
Quality95/100
Evidence: Medium Range A$0.0600 – A$0.1000

Fair value as of: Jun 26, 2026

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Analysis

Carnegie Clean Energy Limited (CCE) currently trades at A$0.1350, while our model-based Fair Value estimate is A$0.0900 — implying the stock looks roughly 33.3% overvalued today. We read business quality at 95/100 (high quality), in the Utilities 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: medium).

About the company

Carnegie Clean Energy Limited engages in the development of the CETO Wave Energy Technology, a submerged point absorber type wave energy converter which converts ocean waves into zero-emission electricity internationally. The company was formerly known as Carnegie Wave Energy Limited and changed its name to Carnegie Clean Energy Limited in December 2016. Carnegie Clean Energy Limited was incorporated in 1987 and is headquartered in North Fremantle, Australia.

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Frequently asked questions

Is Carnegie Clean Energy Limited (CCE) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.0900 versus a price of A$0.1350 — about −33% (overvalued). Model-based estimate, not financial advice.
What is the fair value of CCE?
Our 21-model fair value for Carnegie Clean Energy Limited is A$0.0900 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.1350.
What is the quality score of CCE?
Carnegie Clean Energy 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.