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Geopulse Exploration, Inc (GPLS) Fair Value & Analysis

Technology · US · Market cap $1.8M

Price$0.0160
Fair Value$0.0150
Upside-6.0%
Quality92/100
Evidence: Low Range $0.0150 – $0.0150

Fair value as of: Jun 26, 2026

Analysis

Geopulse Exploration, Inc (GPLS) currently trades at $0.0160, while our model-based Fair Value estimate is $0.0150 — implying the stock looks roughly 6.0% overvalued today. We read business quality at 92/100 (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

Geopulse Exploration, Inc. develops blockchain-powered logistics, financial services, and promotion platform for United States and Canadian cannabis sector. The company has a strategic development partnership with NetCents Technology Inc. The company was founded in 2004 and is based in Los Angeles, California.

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Frequently asked questions

Is Geopulse Exploration, Inc (GPLS) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0150 versus a price of $0.0160 — about −6% (overvalued). Model-based estimate, not financial advice.
What is the fair value of GPLS?
Our 21-model fair value for Geopulse Exploration, Inc is $0.0150 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0160.
What is the quality score of GPLS?
Geopulse Exploration, Inc has a Quality Score of 92/100, 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.