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Iron Road Limited (IRNRF) Fair Value & Analysis

Basic Materials · US · Market cap $8.7M

Price$0.0103
Fair Value$0.0103
Upside-0.1%
Quality95/100
Evidence: High Range $0.0099 – $0.0103

Fair value as of: Jun 26, 2026

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Analysis

Iron Road Limited (IRNRF) currently trades at $0.0103, while our model-based Fair Value estimate is $0.0103 — implying the stock looks roughly 0.1% 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

Iron Road Limited explores for and evaluates iron ore properties in Australia. Its flagship project is the 100% owned Central Eyre iron project located in the Eyre Peninsula of South Australia. The company was incorporated in 2007 and is based in Adelaide, Australia. Iron Road Limited operates as a subsidiary of Sentient Executive GP IV, Limited.

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Frequently asked questions

Is Iron Road Limited (IRNRF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0103 versus a price of $0.0103 — about −0% (overvalued). Model-based estimate, not financial advice.
What is the fair value of IRNRF?
Our 21-model fair value for Iron Road Limited is $0.0103 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0103.
What is the quality score of IRNRF?
Iron Road 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.