How to create a rolling 12-month forecast that updates automatically with QuickBooks data

using Coefficient google-sheets Add-in (500k+ users)

Build a rolling 12-month forecast that automatically updates with live QuickBooks data using dynamic date filters and automated refresh schedules.

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A rolling 12-month forecast requires continuous updates with the latest actuals while maintaining forward-looking projections. The challenge is automating data refresh so your model always reflects current performance without manual date adjustments.

Here’s how to build a sophisticated rolling forecast that automatically incorporates new QuickBooks data and maintains accurate projections.

Dynamic date filters create self-updating forecast models

Coefficient enables rolling forecast automation by combining automated QuickBooks data sync with dynamic date-logic filtering. Your model continuously updates with the most recent 12 months of actuals while projecting future periods.

How to make it work

Step 1. Import historical actuals using dynamic date ranges.

Use Coefficient’s “From QuickBooks Report” method with “Last 12 Months” filters to automatically pull Profit & Loss or Balance Sheet data. The date range adjusts automatically, eliminating manual date updates as time progresses.

Step 2. Structure your model with actuals and projections in sequence.

Set up your spreadsheet so actuals populate months 1-X (based on current date) while your forecast formulas calculate projections for the remaining months. This creates a seamless blend of historical performance and future expectations.

Step 3. Configure automated refresh schedules for continuous updates.

Schedule daily or weekly data refreshes to ensure your rolling forecast always includes the latest QuickBooks transactions. Use timezone-based scheduling to refresh at optimal times for your reporting cycle.

Step 4. Build variance analysis that updates automatically.

Create formulas that compare actuals versus forecasts as new QuickBooks data flows in. Your variance analysis becomes a live tool that highlights performance deviations without manual calculation.

Step 5. Add multiple data sources for comprehensive forecasting.

Combine Transaction List imports for detailed line items with summary reports for high-level trends. Use “Objects & Fields” method to pull specific accounts or classes relevant to your forecast model.

Transform your forecasting into a live financial tool

Rolling forecasts become powerful when they update automatically with real performance data. Your model continuously incorporates new QuickBooks entries while projecting future periods, creating a dynamic financial management tool. Build your automated rolling forecast today.

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