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ioneer Ltd (GSCCF) Fair Value & Analysis

Basic Materials · US · Market cap $298M

Price$0.0930
Fair Value$0.0158
Upside-83.0%
Quality95/100
Evidence: Low

Fair value as of: Jun 26, 2026

Analysis

ioneer Ltd (GSCCF) currently trades at $0.0930, while our model-based Fair Value estimate is $0.0158 — implying the stock looks roughly 83.0% 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: low).

About the company

ioneer Ltd operates as a mineral exploration and development company in North America. It engages in the development of the Rhyolite Ridge lithium-boron project located in Nevada, the United States. The company was formerly known as Global Geoscience Limited and changed its name to ioneer Ltd in November 2018. The company was incorporated in 2001 and is based in North Sydney, Australia.

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Frequently asked questions

Is ioneer Ltd (GSCCF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0158 versus a price of $0.0930 — about −83% (overvalued). Model-based estimate, not financial advice.
What is the fair value of GSCCF?
Our 21-model fair value for ioneer Ltd is $0.0158 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0930.
What is the quality score of GSCCF?
ioneer 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.