What $5B Conglomerates Teach Us About Scenario Planning — Oil Sensitivity and Gulf Geopolitics

When Your Revenue Is Sensitive to a Price You Don't Control

For a Gulf conglomerate with significant exposure to commodity prices — directly through energy businesses, indirectly through government spending that tracks oil revenues — scenario planning is not a once-a-year exercise that produces a glossy sensitivity table in the annual report. It's an operating discipline that shapes real decisions every quarter.

Working with a $5B+ Gulf conglomerate, we found their scenario planning process had become sophisticated out of necessity. They had lived through the 2014-2016 oil price collapse, the COVID demand shock of 2020, and the supply disruption spike of 2022. Each cycle had taught them something about which revenue streams were truly oil-sensitive and which were more insulated.

The Three-Scenario Architecture

The scenario framework they had built — and that we helped make more rigorous and faster to update — was a three-scenario architecture: bull, base, and bear, each with specific oil price assumptions and cascading revenue and cost implications across all 30+ business units.

The key insight in building this well is that not all business units have the same oil sensitivity. Government contract revenues had a lag of 12-18 months to oil price movements. Consumer-facing retail revenues were more correlated with employment and consumer confidence than with oil prices directly. Real estate revenues depended on population growth, which was more sensitive to government infrastructure spend than to oil price in the near term.

Building these different correlation profiles for each business unit — so that the scenario model correctly propagated oil price changes through each revenue line with its appropriate lag and sensitivity — was the technical core of the work. The result was a scenario model where the CFO could run a price change through the model and see the full portfolio impact, business unit by business unit, within an hour.

What Mid-Market Businesses Get Wrong About Scenario Planning

Most mid-market scenario planning exercises produce three variations of the same story: the base case, and the base case with revenue up 10% or down 10%. This is not scenario planning. It's sensitivity analysis on a single variable, and it doesn't capture how businesses actually get into trouble.

Real scenarios combine multiple variables that move together. A bear scenario in manufacturing isn't just lower revenue — it's lower revenue, higher input costs (because the same supply chain disruption that hurt demand also hurt supply), and lower credit availability (because banks tighten in downturns). Modelling these separately understates the downside. Modelling them together is where the real risk management happens.

The practical test for scenario quality is this: can you make an actual decision based on the scenarios? If the scenarios are so similar that the decision is the same in all three, they're not useful. If the scenarios diverge enough that different decisions are required in the bear case versus the base case, you have something worth acting on.