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Refinery Cost & Margin Analytics

Assess the cost and margin positions of global operating refineries at an asset level, with a forecast of their performance.

How confident are you in your ability to evaluate the long-term competitiveness of the global operating refineries?

The Refinery Cost and Margin Analytics 12-month subscription provides an Excel model updated on a quarterly basis, aligned to the IHS Markit proprietary long-term price forecasts and supply/demand balances, as part of our Annual Strategic Workbook. The visualization and analytical tools provide an intuitive way to benchmark the competitive landscape of the global refining industry to evaluate refinery performance, determine rationalization potential, and assess potential refinery acquisitions.

Our integrated approach offers you the opportunity to respond as the market shifts, and ensures your strategic and operational decisions utilize the most current and robust data available. Key features include:
  • >90% of global refinery capacity
  • IHSM forecast scenario embedded into model
  • Profitability metrics: Cash cost to produce light products (CCLP) and net/gross margin estimates, identified by refinery
  • Operational metrics: Refinery level yields, operating costs & metrics, logistics costs
  • Functionality to generate estimated economics for hypothetical refineries
  • User-input crude and product price scenarios to efficiently understand refinery performance across different market environments
  • Annual cost/margin curves: 5 years history and 10 years forecast
  • Quarterly cost/margin curves: 8 quarters history and 8 quarters forecast
Evaluate long-term competitiveness of a refinery Request Information on Refinery Cost and Margin Analytics
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How do our clients use the Refinery Cost & Margin Analytics service?

Understanding the competitive positioning of global operating refineries requires detailed and complex calculations combined with an extensive foundation of knowledge and insight. Companies can spend an inordinate amount of time collecting data and analyzing macroeconomic trends, cost drivers and supply/demand from disparate sources to assess their competitiveness and optimize profitability.

Utilizing our refining knowledge base, comprehensive refinery database, and price forecasts, IHS Markit models the competitiveness of >525+ global operating refineries. Our clients use the service for:

REFINERY BENCHMARKING PORTFOLIO IMPROVEMENT CAPITAL INVESTMENT EVALUATION
Benchmark your refinery performance against the competition Understand risk and exposure to market volatility including upcoming regulatory changes Calculate CCLP and gross/net margins of new capital investments
Review cost & margin estimates for competing assets Determine impact of new projects capacity additions Understand market position of new refinery relative to existing refineries
Identify fluctuations in competitive positioning resulting from shifts in energy and market conditions Evaluate profitability of existing refineries to identify M&A targets Conduct scenario and sensitivity analysis to validate expected refinery performance

By combining our global expertise with flexible functionality, IHS Markit helps you answer these questions:

  • ­ How can I benchmark performance of the refining industry over time?
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  • ­ What is the position of our refineries versus our competitors or acquisition targets?
  • ­
  • ­ How have companies performed historically and how will they perform in the future?
  • ­
  • ­ How can I identify weak performing refineries that are at-risk of rationalization?
  • ­
  • ­ What is the relative competitiveness and viability of a new refinery investment, based on a specific region or refinery configuration?

Benchmarking Metrics

Refinery Output Refinery Profitability
Refinery level yields Gross margin
Operating Costs Net margin
Logistics costs Cash cost to produce light products (CCLP)

Coverage of All Key Regions

  • North America
  • Latin America
  • Europe
  • CIS
  • Africa
  • Middle East
  • North Asia (incl. China)
  • South East Asia

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