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Kingfisher Mining Limited (KFM) Fair Value & Analysis

Basic Materials · AU · Market cap A$9.1M

PriceA$0.0780
Fair ValueA$0.1420
Upside+82.0%
Quality92/100
Evidence: Low Range A$0.1108 – A$0.1654

Fair value as of: Jun 26, 2026

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Analysis

Kingfisher Mining Limited (KFM) currently trades at A$0.0780, while our model-based Fair Value estimate is A$0.1420 — implying the stock looks roughly 82.0% undervalued today. We read business quality at 92/100 (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

Kingfisher Mining Limited engages in the exploration and development of natural resources in Australia. It primarily explores for copper, gold, and lithium deposits, as well as base metals and rare earth elements. The company was incorporated in 2018 and is based in Belmont, Australia.

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Frequently asked questions

Is Kingfisher Mining Limited (KFM) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.1420 versus a price of A$0.0780 — about +82% (undervalued). Model-based estimate, not financial advice.
What is the fair value of KFM?
Our 21-model fair value for Kingfisher Mining Limited is A$0.1420 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.0780.
What is the quality score of KFM?
Kingfisher Mining Limited has a Quality Score of 92/100, 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.