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Datametrex AI Limited (DM) Fair Value & Analysis

Technology · CA · Market cap C$6.1M

PriceC$0.0400
Fair ValueC$0.0100
Upside-75.0%
Quality92/100
Evidence: Low Range C$0.0100 – C$0.0200

Fair value as of: Jun 24, 2026

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Analysis

Datametrex AI Limited (DM) currently trades at C$0.0400, while our model-based Fair Value estimate is C$0.0100 — implying the stock looks roughly 75.0% 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

Datametrex AI Limited engages in the collecting, analyzing, and presenting structured and unstructured data using machine learning and artificial intelligence in Canada and Korea. The company operates through two segments, AI and Technology and Health Care. It provides cyber security Nexology comprising NexaSecurity, a social media discovery and monitoring platform; and NexaSMART that generates reports. The company also offers concierge medical and telemedicine services; and operates medical clinics. In addition, it provides big data, artificial intelligence, and system integration services, as well as sells hardware equipment. The company is headquartered in Toronto, Canada.

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Frequently asked questions

Is Datametrex AI Limited (DM) undervalued?
As of Jun 24, 2026, our model estimates a fair value of C$0.0100 versus a price of C$0.0400 — about −75% (overvalued). Model-based estimate, not financial advice.
What is the fair value of DM?
Our 21-model fair value for Datametrex AI Limited is C$0.0100 (as of Jun 24, 2026), built from audited fundamentals. The current price is C$0.0400.
What is the quality score of DM?
Datametrex AI Limited 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.