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Snipp Interactive Inc (SPN) Fair Value & Analysis

Communication Services · CA · Market cap C$11.5M

PriceC$0.0400
Fair ValueC$0.0400
Upside+0.0%
Quality92/100
Evidence: Low Range C$0.0360 – C$0.0440

Fair value as of: Jun 26, 2026

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Analysis

Snipp Interactive Inc (SPN) currently trades at C$0.0400, while our model-based Fair Value estimate is C$0.0400 — implying the stock looks roughly 0.0% undervalued today. We read business quality at 92/100 (high quality), in the Communication Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.

About the company

Snipp Interactive Inc. provides mobile marketing, rebate, and loyalty solutions in the United States, Canada, Ireland, and internationally. The company offers receipt processing platform; promotions and contest management software; sweepstakes administration platform; digital coupon management platform; loyalty management system; digital rebate management system; channel loyalty platform; customer rewards platform; and financial media network solutions. Snipp Interactive Inc. is headquartered in Vancouver, Canada.

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Frequently asked questions

Is Snipp Interactive Inc (SPN) undervalued?
As of Jun 26, 2026, our model estimates a fair value of C$0.0400 versus a price of C$0.0400 — about +0% (undervalued). Model-based estimate, not financial advice.
What is the fair value of SPN?
Our 21-model fair value for Snipp Interactive Inc is C$0.0400 (as of Jun 26, 2026), built from audited fundamentals. The current price is C$0.0400.
What is the quality score of SPN?
Snipp Interactive 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.