What is Sensitivity Analysis?

Published

April 22, 2026

Last updated

April 22, 2026

Definition

Sensitivity analysis is a financial modeling technique used to determine how different values of an independent variable impact a specific dependent variable. Often referred to as "what-if" analysis, it helps analysts and decision-makers understand the range of possible outcomes by systematically changing one key input in a financial model while keeping other variables constant.

In business planning, this analysis is crucial for risk assessment and for identifying the most critical performance drivers. For example, a company might use sensitivity analysis to see how a 10% increase or decrease in customer acquisition cost (CAC) would affect its overall profitability or cash runway.

While often used alongside scenario planning, sensitivity analysis is distinct because it isolates the effect of a single variable. This provides a clear, quantitative measure of how sensitive a specific outcome is to changes in one particular assumption, helping to focus management attention on the factors that matter most.

Related terms

Frequently Asked Questions

Why would you perform sensitivity analysis?

You would perform a sensitivity analysis to quantify risk, identify key variables that most significantly impact outcomes, and make more informed decisions under uncertainty.

What is a sensitivity analysis for P&L?

A sensitivity analysis for a P&L statement tests how changes in a single key variable, like sales volume or cost of goods sold, affect a specific line item such as net income or EBITDA.

Is Monte Carlo a sensitivity analysis?

No, a Monte Carlo simulation is a probabilistic modeling technique that runs thousands of simulations with random variable inputs, whereas a standard sensitivity analysis typically tests the impact of one variable at a time.

When should sensitivity analysis be used?

It should be used during the business planning and forecasting processes to understand the potential impact of uncertainty and to identify the most critical business drivers.