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How to build a rolling forecast

How to build a rolling forecast (with a free template)

A rolling forecast continuously updates your plan, always projecting 12–18 months ahead instead of locking to a static annual budget. Here's how to build one step by step — the setup, what a good template includes, and the common pitfalls — plus a free Excel and Google Sheets template to start from.

Team Aleph
Shaping the future of AI-native FP&A
What is a rolling forecast?
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Last updated: July 2026.

Bottom line: The fastest way to build a rolling forecast is to start from a working model, not a blank sheet. Build it driver-based, anchor it to your last closed month, layer in base/upside/downside scenarios, and refresh monthly. The free template below already has that structure — download it and adapt, or follow the steps to build your own.

Free download: Aleph's rolling forecast template for SaaS is a rolling 12-month model with an ARR bridge, driver-based logic, base/upside/downside scenarios, and built-in data validation. Use it as-is, or as the starting point for the build below.

What is a rolling forecast?

A rolling forecast is a financial forecast that updates continuously, always projecting a fixed number of periods ahead — usually 12 to 18 months — by adding a new period as each one closes. Instead of a static annual budget that shrinks to a few months of runway by Q4, it always keeps a full window in view, so an October decision is informed by a forecast that runs through the following October.

How to build a rolling forecast, step by step

  1. Pick a horizon and cadence. 12 months refreshed monthly is the common default; 18 months suits faster-moving or capital-intensive businesses.
  2. Anchor to your last closed month. Start from actuals so the model always shows trailing actuals plus the forward window. (The template does this automatically.)
  3. Build it driver-based. Model the drivers — new bookings, churn, headcount, usage — rather than growing last year by a flat percentage.
  4. Layer in scenarios. Add base, upside, and downside cases so you plan a range, not a point estimate. See scenario planning in FP&A.
  5. Refresh on cadence and review variance. Each close, roll the window forward and explain actual vs. forecast so the next cycle gets sharper.

What a good rolling forecast template includes

If you're starting from a template, these are the elements that separate a useful one from a static spreadsheet with month columns:

  • A rolling structure anchored to your last close — trailing actuals plus a constant forward window, not a fixed Jan–Dec grid.
  • Driver-based revenue and cost — assumptions you can change in one place and have flow through the model.
  • An ARR bridge or revenue waterfall — new, expansion, contraction, and churn broken out (essential for SaaS).
  • Base, upside, and downside scenarios that flex both revenue and operating expenses together.
  • Actual-vs-forecast variance built in, so each refresh is a review, not a rebuild.
  • Data validation to flag missing or duplicate inputs before they corrupt the forecast.

Aleph's free rolling forecast template for SaaS ships with all six, so you're adapting a working model instead of building structure from scratch.

Rolling forecast vs. static budget

A static annual budget is set once and measured against all year; a rolling forecast is re-projected on a cadence. They're not mutually exclusive — many teams keep the budget as the commitment and run a rolling forecast alongside it as the live view.

Why driver-based forecasting matters

A rolling forecast is only as good as its logic. If it's last year plus 10%, rolling it forward just moves a stale number. Driver-based forecasting ties revenue and cost to the operational inputs that actually move them — so when sales raises a hiring plan or churn ticks up, the forecast reflects it without a manual rebuild. It's also what makes the maintenance sustainable.

Best tools for rolling forecasts

Most rolling forecasts start in a spreadsheet and stay there until the manual upkeep gets painful — the common failure mode is a forecast that depends on manual data pulls each month and quietly stops being current. The tools worth looking at:

  • Aleph — best for a driver-based rolling forecast on live, connected data while staying in Excel and Google Sheets.
  • Cube, Datarails — spreadsheet-native options for lean teams.
  • Planful, Workday Adaptive Planning, Anaplan — web-based suites for larger or more complex modeling.

Sources and related reading

Guidance here reflects standard FP&A practice; for a general definition see Corporate Finance Institute on rolling forecasts. Related: scenario planning in FP&A and best FP&A software by company size and stage.

Start from a working model: download the free Aleph rolling forecast template for SaaS, or book a demo to run it on live, connected data.

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Frequently asked questions

What is a rolling forecast?

A rolling forecast is a continuously updated financial forecast that always projects a fixed number of periods ahead — usually 12 to 18 months — by adding a new period as each one closes. It replaces the static annual budget with a live view that reflects current actuals.

What is the difference between a rolling forecast and a budget?

A budget is set once a year and measured against all year; a rolling forecast is re-projected on a cadence (usually monthly) and always looks a fixed window ahead. Many teams run both — the budget as the commitment, the rolling forecast as the live view.

How many months should a rolling forecast cover?

Twelve months is the most common horizon, refreshed monthly. Faster-moving or capital-intensive businesses often extend to 18 months so decisions account for a longer runway.

How often should you update a rolling forecast?

Most teams refresh monthly, anchored to the last closed month, so the forecast always shows trailing actuals plus the forward window. Quarterly works for slower-moving businesses.

What are the best tools for building a rolling forecast?

Many teams start in Excel or Google Sheets with a template, then move to a connected tool when manual upkeep gets painful. Aleph, Cube, and Datarails keep you in spreadsheets; Planful, Workday Adaptive, and Anaplan are web-based suites.

Can you build a rolling forecast in Excel?

Yes — Excel and Google Sheets are where most rolling forecasts live. The challenge is keeping the data current each month; a structured template or a connected tool solves the maintenance problem that kills most spreadsheet forecasts.

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Screenshot of an income statement spreadsheet comparing revenue, cost of revenue, and operating expenses for Jan 25 and Feb 25, alongside a sidebar menu with options including 'Income Statement,' 'Analyze with AI,' and other budget categories.
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