What Is Variance Analysis?
Variance analysis compares your planned financial figures to actual results, revealing where and why performance diverged from the budget.
Key Takeaways
- Variance analysis measures the gap between planned and actual financial results.
- Favourable variances are not always good — they may indicate under-investment.
- Root cause analysis turns variance data into actionable insight.
- A regular variance review cadence is essential for financial control.
What variance analysis is
Variance analysis is the process of comparing your planned or budgeted financial figures to your actual results, then investigating the differences. A variance is simply the gap between what you expected and what happened. Positive (or favourable) variances occur when actual results are better than planned — revenue higher than forecast, or costs lower than budget. Negative (or adverse) variances occur when results fall short — revenue below forecast, or costs exceeding budget. The size and direction of variances tell you how well your plans reflected reality.
Types of variance to track
Revenue variance measures how actual sales compare to forecast. Cost variance measures actual spending against budget for each expense category. Gross margin variance combines both, showing whether the profitability of your sales matched expectations. Volume and price variances go deeper: volume variance isolates the effect of selling more or fewer units than planned, while price variance isolates the effect of charging more or less per unit. For SMEs, tracking revenue and cost variance by department or product line gives the clearest picture of where performance is diverging from plan.
How to investigate a variance
Not all variances require the same response. A small variance caused by timing — a payment arriving one week late — is usually self-correcting. A large or recurring variance signals that your assumptions were wrong and need to be updated. When investigating, ask three questions: Is the variance driven by volume, price, or mix? Is it isolated to one product, customer, or cost category? Is it a one-off event or part of a trend? Answering these questions determines whether you need to adjust your forecast, your operational approach, or both.
Making variance analysis routine
The value of variance analysis comes from consistency. A monthly variance review — comparing last month's actuals to budget within days of the month closing — keeps management information fresh and actionable. Document the reasons for significant variances in your management accounts, and track whether the underlying issues are being resolved over time. Over several cycles, your variance commentary becomes an institutional record of what drives financial performance in your business — invaluable for improving future forecasting accuracy.