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CuFe Ltd (CUF) Fair Value & Analysis

Basic Materials · AU · Market cap A$101M

PriceA$0.0600
Fair ValueA$0.0420
Upside-30.0%
Quality95/100
Evidence: High Range A$0.0420 – A$0.0600

Fair value as of: Jun 26, 2026

Analysis

CuFe Ltd (CUF) currently trades at A$0.0600, while our model-based Fair Value estimate is A$0.0420 — implying the stock looks roughly 30.0% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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

CuFe Ltd operates as a mineral exploration and production company in Australia. The company primarily explores for lithium, copper, iron ore, gold, niobium, and base metal deposits, as well as rare earth elements. The company was formerly known as Fe Limited and changed its name to CuFe Ltd in November 2021. CuFe Ltd was incorporated in 2005 and is headquartered in West Leederville, Australia.

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Frequently asked questions

Is CuFe Ltd (CUF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.0420 versus a price of A$0.0600 — about −30% (overvalued). Model-based estimate, not financial advice.
What is the fair value of CUF?
Our 21-model fair value for CuFe Ltd is A$0.0420 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.0600.
What is the quality score of CUF?
CuFe Ltd 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.