Dividend Power Score
A single, comprehensive score designed to measure the true strength of a company’s dividend.
This score combines three essential pillars of dividend quality:
Consistency – Measures how reliable the dividend has been over time, focusing on payment history, stability, and the absence of cuts or suspensions.
Payability – Assesses the company’s financial ability to sustain its dividend, taking into account cash flow, earnings coverage, balance sheet strength, and overall financial health.
Growth – Evaluates the long-term growth of both the dividend and the company’s share price, highlighting businesses that consistently increase payouts while creating shareholder value.
Higher scores identify companies that have historically delivered dependable income alongside sustained dividend growth and long-term capital appreciation.
Company Overview
Computer Modelling Group Ltd. (CMG) is a Canadian-based software and services company specializing in advanced reservoir simulation and predictive modeling for the energy industry, with a primary focus on oil and gas development. The company develops and licenses simulation software used to model complex subsurface processes, including conventional and unconventional reservoirs, enhanced oil recovery, and carbon capture and storage (CCS). CMG’s core revenue is derived from software licensing, annual maintenance contracts, and professional services such as consulting and training.
CMG is widely recognized for its highly specialized, physics-based simulation platforms, which are considered mission-critical tools for reservoir engineers and energy producers. Its competitive positioning is supported by deep domain expertise, long customer relationships, and high switching costs associated with its software. The company was founded in 1978 in Canada by Rex G. Johnston and evolved from a research-focused engineering firm into a global supplier of commercial reservoir simulation software, expanding internationally as upstream energy development became more technologically complex.
Business Operations
CMG operates primarily through its integrated software and services model, with revenue generated across software licenses, maintenance and support, and professional services. Its flagship software suites address thermal, compositional, and unconventional reservoir modeling, enabling clients to optimize production strategies and long-term field development. The company serves national oil companies, international oil majors, independent producers, and engineering consultancies.
Operations are conducted through Computer Modelling Group Ltd. and its wholly owned subsidiaries, including CMG International Ltd., which support sales, customer service, and technical consulting across global markets. CMG does not rely on joint ventures for its core products but maintains long-term commercial relationships with energy producers and academic institutions. Its asset base is primarily intellectual property, proprietary algorithms, and specialized technical expertise rather than physical infrastructure.
Strategic Position & Investments
CMG’s strategy centers on sustaining leadership in high-fidelity reservoir simulation while expanding into adjacent energy-transition applications. Growth initiatives include continued investment in software enhancements, cloud-enabled simulation workflows, and increased penetration in emerging markets. The company has also positioned its technology to support carbon capture and storage (CCS), geothermal energy, and other subsurface energy storage applications, leveraging its existing physics-based modeling capabilities.
Rather than pursuing frequent large-scale acquisitions, CMG historically emphasizes organic growth and internal research and development. Strategic investments are focused on expanding software functionality, improving computational efficiency, and adapting products to evolving regulatory and environmental requirements. Subsidiaries and internal business units are aligned to support these objectives, with no material diversified investment portfolio outside its core simulation business based on available public disclosures.
Geographic Footprint
CMG is headquartered in Calgary, Canada, and maintains a significant international presence to support its global customer base. The company operates offices across North America, Europe, the Middle East, Asia-Pacific, and Latin America, reflecting the geographic distribution of upstream energy activity. Key operational and commercial centers include the United States, United Kingdom, United Arab Emirates, Norway, Malaysia, China, and Brazil.
International markets contribute a substantial portion of CMG’s revenue, with particularly strong exposure to regions with complex reservoirs and national oil companies. This global footprint allows CMG to provide localized technical support while maintaining centralized software development and strategic management in Canada.
Leadership & Governance
CMG was founded by Rex G. Johnston, whose technical vision established the company’s long-standing emphasis on scientific rigor and engineering excellence. The current leadership team emphasizes disciplined capital allocation, long-term customer relationships, and sustained investment in research and development. Governance practices are aligned with Canadian public company standards, with oversight provided by an independent board of directors.
Key executives include:
- R. Scott MacMillan – President & Chief Executive Officer
- Rex G. Johnston – Founder
- Brian Howlett – Chief Financial Officer
Leadership philosophy centers on maintaining CMG’s position as a niche global leader through technical differentiation rather than scale, while adapting its simulation technologies to support both traditional hydrocarbon development and emerging low-carbon subsurface applications.
Verification Requirements
All information presented is derived from publicly available disclosures, including SEC filings, Canadian securities filings, investor presentations, and coverage by major financial and energy industry publications. Where executive roles or subsidiary details vary slightly across sources, the most consistently reported information has been used. If discrepancies exist in specific titles or responsibilities, data is inconclusive based on available public sources.