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Surge Battery Metals Inc (NILIF) Fair Value & Analysis

Basic Materials · US · Market cap $127M

Price$0.5007
Fair Value$0.1600
Upside-68.0%
Quality95/100
Evidence: Low Range $0.1200 – $0.1900

Fair value as of: Jun 24, 2026

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Analysis

Surge Battery Metals Inc (NILIF) currently trades at $0.5007, while our model-based Fair Value estimate is $0.1600 — implying the stock looks roughly 68.0% 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

Surge Battery Metals Inc., an exploration stage company, acquires, explores, and develops mineral properties in North America. It primarily explores for lithium and nickel. The company's flagship property is the 100% owned Nevada North lithium project consisting of 685 mineral claims located in Elko County, Nevada. The company was formerly known as Surge Exploration Inc. and changed its name to Surge Battery Metals Inc. in March 2021. Surge Battery Metals Inc. was incorporated in 1987 and is based in West Vancouver, Canada.

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Frequently asked questions

Is Surge Battery Metals Inc (NILIF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $0.1600 versus a price of $0.5007 — about −68% (overvalued). Model-based estimate, not financial advice.
What is the fair value of NILIF?
Our 21-model fair value for Surge Battery Metals Inc is $0.1600 (as of Jun 24, 2026), built from audited fundamentals. The current price is $0.5007.
What is the quality score of NILIF?
Surge Battery Metals Inc 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.