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Archer Materials Limited (AXE) Fair Value & Analysis

Technology · AU · Market cap A$95.6M

PriceA$0.3200
Fair ValueA$0.2000
Upside-37.5%
Quality95/100
Evidence: Low Range A$0.1500 – A$0.2500

Fair value as of: Jun 24, 2026

Analysis

Archer Materials Limited (AXE) currently trades at A$0.3200, while our model-based Fair Value estimate is A$0.2000 — implying the stock looks roughly 37.5% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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

Archer Materials Limited, a technology company, engages in development and commercialization of semiconductor devices and sensors related to quantum computing, medical diagnostics, TMR sensors, and lab-on-a-chip medical diagnostics in Australia. It offers qubit processor chip; and graphene-based lab-on-a-chip Biochip. The company was formerly known as Archer Exploration Limited and changed its name to Archer Materials Limited in October 2019. Archer Materials Limited was incorporated in 2007 and is based in Adelaide, Australia.

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Frequently asked questions

Is Archer Materials Limited (AXE) undervalued?
As of Jun 24, 2026, our model estimates a fair value of A$0.2000 versus a price of A$0.3200 — about −38% (overvalued). Model-based estimate, not financial advice.
What is the fair value of AXE?
Our 21-model fair value for Archer Materials Limited is A$0.2000 (as of Jun 24, 2026), built from audited fundamentals. The current price is A$0.3200.
What is the quality score of AXE?
Archer Materials 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.