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QMines Limited (QML) Fair Value & Analysis

Basic Materials · AU · Market cap A$34.3M

PriceA$0.0520
Fair ValueA$0.1200
Upside+130.8%
Quality95/100
Evidence: Low Range A$0.0900 – A$0.1500

Fair value as of: Jun 25, 2026

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Analysis

QMines Limited (QML) currently trades at A$0.0520, while our model-based Fair Value estimate is A$0.1200 — implying the stock looks roughly 130.8% 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

QMines Limited explores and develops mineral properties in Australia. The company explores for gold, copper, zinc, and silver deposits. Its flagship project is the 100% owned Mount Chalmers project, which consists of five minerals exploration permits covering an area of 334 square kilometers located North-East of Rockhampton, Queensland. QMines Limited was incorporated in 2020 and is headquartered in Mosman, Australia.

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Frequently asked questions

Is QMines Limited (QML) undervalued?
As of Jun 25, 2026, our model estimates a fair value of A$0.1200 versus a price of A$0.0520 — about +131% (undervalued). Model-based estimate, not financial advice.
What is the fair value of QML?
Our 21-model fair value for QMines Limited is A$0.1200 (as of Jun 25, 2026), built from audited fundamentals. The current price is A$0.0520.
What is the quality score of QML?
QMines 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.