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Lifezone Metals Limited (LZM) Fair Value & Analysis

Basic Materials · US · Market cap $442M

Price$4.25
Fair Value$2.43
Upside-42.8%
Quality94/100
Evidence: Low Range $1.82 – $3.04

Fair value as of: Jun 24, 2026

Analysis

Lifezone Metals Limited (LZM) currently trades at $4.25, while our model-based Fair Value estimate is $2.43 — implying the stock looks roughly 42.8% overvalued today. We read business quality at 94/100 (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: low).

About the company

Lifezone Metals Limited, together with its subsidiaries, engages in the metals production and recycling business. The company's flagship project is the Kabanga Nickel Project located in north-west Tanzania. It is also involved in the intellectual property licensing business. The company is based in Douglas, Isle of Man.

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Frequently asked questions

Is Lifezone Metals Limited (LZM) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $2.43 versus a price of $4.25 — about −43% (overvalued). Model-based estimate, not financial advice.
What is the fair value of LZM?
Our 21-model fair value for Lifezone Metals Limited is $2.43 (as of Jun 24, 2026), built from audited fundamentals. The current price is $4.25.
What is the quality score of LZM?
Lifezone Metals Limited has a Quality Score of 94/100, 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.