Vertex Resource Group (VTXGF) Fair Value & Analysis
Industrials · US · Market cap $16.8M
Fair value as of: Jun 26, 2026
Analysis
Vertex Resource Group (VTXGF) currently trades at $0.1300, while our model-based Fair Value estimate is $0.1569 — implying the stock looks roughly 20.7% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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: medium) — always confirm before acting.
About the company
Vertex Resource Group Ltd. provides environmental and industrial services in Canada and the United States. The company operates through the Environmental Consulting and Environmental Services segments. The Environmental Consulting segment offers planning and regulatory approvals, site assessments and monitoring, geotechnical and civil engineering, wildlife management, reclamation, remediation, groundwater monitoring, drilling waste, gas migration, emissions testing and reporting, and sub-surface engineering services; advisory services, including estimating, project controls, and facility engineering; land and regulatory services; emergency spill response services; abandonment, completion, and drilling engineering; and geographical information services, and mapping and drone services to various industries, including governments, industry, and commercial clients. The Environmental Services segment provides fluid hauling trailers, trucks, and related equipment to handle, haul, and mana…
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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.