What-If Analysis
Published
April 22, 2026
Last updated
April 22, 2026
Definition
What-if analysis is a technique used to evaluate the impact of changing certain variables or assumptions within a financial model. By altering specific inputs, decision-makers can observe the potential effects on key outcomes, such as revenue, net income, or cash flow. This method is fundamental to understanding the cause-and-effect relationships that govern business performance.
In practice, what-if analysis allows an FP&A team to answer targeted questions like, "What happens to our EBITDA if our largest supplier increases prices by 5%?" or "How does a 2-month delay in a product launch affect our annual revenue forecast?" This process supports agile financial planning by helping organizations test hypotheses and assess risks before committing to a course of action.
While closely related to scenario planning, what-if analysis typically focuses on the isolated impact of one or two variable changes. In contrast, scenario planning often involves a more comprehensive set of changes to model a complete future state, such as a best-case or worst-case scenario.
Related terms
Frequently Asked Questions
Why is the what-if analysis important?
What are the three types of What-if Analysis?
What is what if analysis in accounting?
See Pigment in action
The fastest way to understand Pigment is to see it in action. Sign up today and explore how agentic AI can transform the way you plan.

From 8 days to 4 min
Update P&L actuals & financial forecasting
80%
Time cut on data aggregation
12 hours
Saved per month on executive reporting
6 days faster
For scenarios creation and analysis