Glossary
What-If Analysis

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.

Frequently Asked Questions

Why is the what-if analysis important?

What-if analysis is important because it enables decision-makers to anticipate the potential outcomes of their choices, understand financial risks, and develop more resilient and flexible business strategies.

What are the three types of What-if Analysis?

The main types are sensitivity analysis, which tests the impact of one variable; scenario planning, which models a full set of changed assumptions; and simulation (like Monte Carlo), which runs thousands of variations to assess probabilities.

What is what if analysis in accounting?

In accounting, what-if analysis is used to determine how changes in specific financial variables, such as sales volume or cost of goods sold, will impact financial statements like the P&L or cash flow statement.

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