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Ragnar Metals Limited (RAG) Fair Value & Analysis

Basic Materials · AU · Market cap A$13.2M

PriceA$0.0240
Fair ValueA$0.0700
Upside+191.7%
Quality95/100
Evidence: Low Range A$0.0500 – A$0.0800

Fair value as of: Jun 25, 2026

Analysis

Ragnar Metals Limited (RAG) currently trades at A$0.0240, while our model-based Fair Value estimate is A$0.0700 — implying the stock looks roughly 191.7% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.

About the company

Ragnar Metals Limited engages in the exploration and evaluation of mineral properties in Sweden and Western Australia. The company explores for nickel, gold, silver, copper, rare earth elements, lithium, and base metals. Ragnar Metals Limited was incorporated in 2004 and is based in West Perth, Australia.

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Frequently asked questions

Is Ragnar Metals Limited (RAG) undervalued?
As of Jun 25, 2026, our model estimates a fair value of A$0.0700 versus a price of A$0.0240 — about +192% (undervalued). Model-based estimate, not financial advice.
What is the fair value of RAG?
Our 21-model fair value for Ragnar Metals Limited is A$0.0700 (as of Jun 25, 2026), built from audited fundamentals. The current price is A$0.0240.
What is the quality score of RAG?
Ragnar 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.