What Is Cash Variance Analysis?

Cash variance analysis is the process of measuring the difference between your forecasted cash flows and what actually happened, and understanding why the gap exists. Done consistently, it improves forecast accuracy over time.

How to Calculate Forecast Variance

Variance = Actual Cash Flow minus Forecasted Cash Flow

As a percentage: (Actual minus Forecast) / |Forecast| x 100

A variance under 5% is strong. Over 15% signals that forecast inputs or methodology need attention.

Common Causes of High Variance

• Timing differences: payments or receipts shift by days or weeks

• Incomplete data: subsidiary forecasts submitted late

• Over-reliance on manual inputs instead of live AR/AP data

• Seasonal patterns missed by the model

• Unexpected one-off outflows

How to Reduce Variance

1. Automate data ingestion: replace manual inputs with live ERP and bank feeds

2. Track actuals vs. forecast at line level, not just in aggregate

3. Review variance weekly: short feedback loops catch issues early

4. Use AI to identify recurring timing patterns

Palm's variance analysis tracks actuals vs. forecast automatically and surfaces the drivers behind every gap.

Related Terms: AI Cash Flow Forecasting | Rolling Cash Forecast | Cash Visibility | Bank Reconciliation