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JasperX Technologies Inc (VENZF) Fair Value & Analysis

Technology · US · Market cap $4.2M

Price$0.0347
Fair Value$0.0261
Upside-24.7%
Quality95/100
Evidence: Low Range $0.0261 – $0.0261

Fair value as of: Jun 26, 2026

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Analysis

JasperX Technologies Inc (VENZF) currently trades at $0.0347, while our model-based Fair Value estimate is $0.0261 — implying the stock looks roughly 24.7% overvalued today. We read business quality at 95/100 (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

JasperX Technologies Inc. develops and markets a cloud-based platform in the Canada and internationally. The company offers product information management platform. Its platform is used for suppliers and manufactures in various industries to share their product information and inventory updates to the retailers. The company was formerly known as Venzee Technologies Inc. and change its name to JasperX Technologies Inc. in February 2026. JasperX Technologies Inc. is based in Calgary, Canada.

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Frequently asked questions

Is JasperX Technologies Inc (VENZF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0261 versus a price of $0.0347 — about −25% (overvalued). Model-based estimate, not financial advice.
What is the fair value of VENZF?
Our 21-model fair value for JasperX Technologies Inc is $0.0261 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0347.
What is the quality score of VENZF?
JasperX Technologies 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.