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Lake Resources NL (LKE) Fair Value & Analysis

Basic Materials · AU · Market cap A$149M

PriceA$0.0440
Fair ValueA$0.0290
Upside-34.0%
Quality95/100
Evidence: Low Range A$0.0290 – A$0.0334

Fair value as of: Jun 26, 2026

Analysis

Lake Resources NL (LKE) currently trades at A$0.0440, while our model-based Fair Value estimate is A$0.0290 — implying the stock looks roughly 34.0% overvalued today. We read business quality at 95/100 (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

Lake Resources NL engages in the exploration and development of lithium brine and mineral properties primarily in Argentina, Australia, and the United States. Its flagship project is the Kachi lithium brine project located in the Catamarca province of Argentina. Lake Resources NL was incorporated in 1997 and is based in Sydney, Australia.

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Frequently asked questions

Is Lake Resources NL (LKE) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.0290 versus a price of A$0.0440 — about −34% (overvalued). Model-based estimate, not financial advice.
What is the fair value of LKE?
Our 21-model fair value for Lake Resources NL is A$0.0290 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.0440.
What is the quality score of LKE?
Lake Resources NL 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.