Quick Answer
A rolling forecast is a continuously updated financial projection that extends a fixed number of periods into the future, typically 12 to 18 months. As each month or quarter closes, a new period is added to the end, maintaining a constant planning horizon. This replaces the static annual budget with a dynamic forward view that always looks the same distance ahead.
A traditional budget covers January to December. By October, you only have two months of forward visibility. A rolling forecast solves this by always maintaining, say, 12 months of forward projections. When January closes, you add a new January (next year) to the end.
Monthly rolling forecast: Each month, replace the completed month with actuals and add a new month at the end. This provides maximum freshness but requires monthly forecasting effort.
Quarterly rolling forecast: Each quarter, replace the completed quarter with actuals and add a new quarter. Less effort, but projections can be 3 months stale.
Common horizons: 12 months (most popular), 18 months (provides budget-year overlap), or 24 months (for businesses with long planning cycles like construction or pharma).
1. Define the horizon and update cadence. Choose 12 or 18 months, updated monthly or quarterly.
2. Use driver-based models. Rolling forecasts must be fast to update. Driver-based models let you change a few key assumptions and recalculate everything, rather than updating hundreds of line items.
3. Focus on material items. Don't forecast every cost line monthly. Focus on revenue, headcount, and your top 5-10 cost categories. Group smaller items into "other operating costs" with a simple growth assumption.
4. Integrate actuals automatically. Pull actuals from your accounting system so completed months update without manual effort.
5. Compare against budget baseline. Maintain your approved annual budget alongside the rolling forecast. The variance between them shows how expectations have shifted since planning.
Rolling forecasts eliminate the annual budget scramble, provide continuous forward visibility, and encourage a planning culture rather than a once-a-year exercise. They also enable faster response to changing conditions because the forecast is always fresh.
Rolling forecasts are increasingly common among UK mid-market companies, particularly SaaS businesses and PE-backed firms. A 2024 survey by CIMA found that 45% of UK finance teams now use rolling forecasts alongside or instead of traditional annual budgets.
For a side-by-side comparison of the two approaches, read Rolling Forecasts vs Static Budgets. Download the rolling forecast template to get started quickly, or explore the forecast glossary definition for foundational concepts. If you are looking for the right software to support continuous planning, see our best FP&A software 2026 roundup.
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FAQ
A reforecast updates the remaining months of your annual budget. A rolling forecast always extends a fixed number of months ahead — when a month closes, a new month is added at the end. Rolling forecasts maintain a constant planning horizon; reforecasts work within the fiscal year boundary.
Many companies maintain both — an annual budget as the committed baseline for governance and compensation, plus a rolling forecast for operational planning. Some advanced organisations have replaced the annual budget entirely with rolling forecasts and annual targets.
With FP&A software and driver-based models, a monthly rolling forecast update should take 1-2 days. The key is automation — actuals flow in automatically, and changing a few driver assumptions recalculates the entire forecast.
12 months is the most common and works well for most businesses. Use 18 months if you need to see across fiscal year boundaries or if your business has longer planning cycles. Beyond 18 months, accuracy drops significantly for most companies.
Yes. Grove FP supports rolling forecasts with automatic horizon extension, driver-based recalculation, and actuals integration. Compare the rolling forecast against your annual budget baseline with one-click variance analysis.
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