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American Battery Technology Company (ABAT) Fair Value & Analysis

Industrials · US · Market cap $462M

Price$2.84
Fair Value$1.55
Upside-45.4%
Quality95/100
Evidence: Low Range $1.16 – $1.94

Fair value as of: Jun 24, 2026

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Analysis

American Battery Technology Company (ABAT) currently trades at $2.84, while our model-based Fair Value estimate is $1.55 — implying the stock looks roughly 45.4% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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

American Battery Technology Company operates as a battery materials company in the United States. It explores for resources of battery metals, such as lithium, nickel, cobalt, and manganese; and develops and commercializes technologies for the extraction and refining of battery metals. It also commercializes an integrated process for the recycling of lithium-ion batteries. The company was formerly known as American Battery Metals Corporation and changed its name to American Battery Technology Company in August 2021. American Battery Technology Company was incorporated in 2011 and is headquartered in Reno, Nevada.

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Frequently asked questions

Is American Battery Technology Company (ABAT) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $1.55 versus a price of $2.84 — about −45% (overvalued). Model-based estimate, not financial advice.
What is the fair value of ABAT?
Our 21-model fair value for American Battery Technology Company is $1.55 (as of Jun 24, 2026), built from audited fundamentals. The current price is $2.84.
What is the quality score of ABAT?
American Battery Technology Company 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.