Key Takeaways
- In 2023, global downstream revenue reached $2.1 trillion, refining margins $12/bbl average
- ExxonMobil downstream earnings $8.6 billion in 2023, up 150% YoY on cracks
- US refining EBITDA averaged $15/bbl in 2023, PADD 3 highest at $18/bbl
- In 2023, global refinery CO2 emissions totaled 1.2 billion tons, 7% of energy sector
- US refineries emitted 180 million mt CO2 in 2023, Gulf Coast 65% share
- Europe's refineries reduced SOx emissions 90% since 2005 to 0.5 million tons in 2023 via desulfurization
- In 2023, global petroleum product trade volume was 2.1 billion tons, clean products 70%
- US gasoline retail sales reached 135 billion gallons in 2023, average price $3.52/gal
- China's downstream retail network expanded to 150,000 stations in 2023, Sinopec 30% market share
- In 2023, global gasoline demand reached 26.1 million bpd, up 2.5% YoY led by Asia
- US motor gasoline consumption averaged 8.9 million bpd in 2023, down 1% from 2022
- China's diesel demand fell 5% to 4.2 million bpd in 2023 due to EV shift
- In 2023, global gasoline production from refineries totaled 26.5 million bpd, with US output at 9.8 million bpd leading OECD
- Diesel and gasoil output worldwide reached 32.1 million bpd in 2023, Asia consuming 55% of total
- US jet fuel production averaged 1.6 million bpd in 2023, recovering 85% from pre-COVID levels
In 2023, downstream profits rebounded with strong margins as refining capacity utilization rose worldwide.
Related reading
Economic Financial
Economic Financial Interpretation
Environmental Regulatory
Environmental Regulatory Interpretation
Market Sales
Market Sales Interpretation
More related reading
Product Demand
Product Demand Interpretation
Product Output
Product Output Interpretation
Refining Capacity
Refining Capacity Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
David Sutherland. (2026, February 13). Downstream Petroleum Industry Statistics. Gitnux. https://gitnux.org/downstream-petroleum-industry-statistics
David Sutherland. "Downstream Petroleum Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/downstream-petroleum-industry-statistics.
David Sutherland. 2026. "Downstream Petroleum Industry Statistics." Gitnux. https://gitnux.org/downstream-petroleum-industry-statistics.
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