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IRIS Metals Limited (IR1) Fair Value & Analysis

Basic Materials · AU · Market cap A$21.9M

PriceA$0.0580
Fair ValueA$0.0360
Upside-38.0%
Quality95/100
Evidence: Low Range A$0.0302 – A$0.0360

Fair value as of: Jun 26, 2026

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Analysis

IRIS Metals Limited (IR1) currently trades at A$0.0580, while our model-based Fair Value estimate is A$0.0360 — implying the stock looks roughly 38.0% 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

IRIS Metals Limited engages in exploration, evaluation, and acquisition of mining tenements in South Dakota, the United States. It explores for lithium, diamond, pegmatite, LCT pegmatites, spodumene, and lithium spodumene deposits. IRIS Metals Limited was incorporated in 2020 and is based in South Yarra, Australia.

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Frequently asked questions

Is IRIS Metals Limited (IR1) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.0360 versus a price of A$0.0580 — about −38% (overvalued). Model-based estimate, not financial advice.
What is the fair value of IR1?
Our 21-model fair value for IRIS Metals Limited is A$0.0360 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.0580.
What is the quality score of IR1?
IRIS Metals 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.