Rolling Forecast: This Year + the Next (dynamic)
Of the mentioned forecasting methods, this is the method we recommend at Planacy: Rolling forecast with dynamic length – this year, plus the next. Instead of forecasting a fixed number of months, for example 15, the forecast is set between 13-24 months. Always the current year, plus the next year.
Historically, this hasn’t been the most common approach, but its use has significantly increased in recent years. The use of this method has doubled in three years, from 15% in 2022 to 30% in 2025 (according to TSOCFP).
Our annual report, The State of Corporate Financial Planning, highlights a clear correlation between high perceived forecast quality and the use of a dynamic, rolling method. Initially, some of our clients opted for a traditional rolling forecast with a fixed monthly perspective, but most have since switched to a dynamic rolling forecast. One of Planacy's major advantages is its flexibility, allowing you to easily adjust and refine your process to find the optimal workflow for your business.
Advantages with the dynamic forecasting method
If you’re in, say January, you might focus more on the first year since it’s the first 11 months, then you create the forecast for next year with a little less precision. The closer you get to the end of the year, the more you’ll focus on next year as you fill in outcomes from the first year. This method is unbeatable since you get a long timeframe and all of the advantages of always looking at both fixed years and quarters. You can also compare past years without having to worry about seasonality. You can add outcome data from past months, which is a lot better.
After every month, outcome data is added which enables you to make forecast adjustments for the same month next year. In Planacy you can then also choose to set up an automatic forecast proposal, for example based on historical growth during each month. In this way, you can streamline the rolling forecast, and it’s also easier to include seasonal effects.
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Limitations with the dynamic forecasting method
This method may be less effective for companies that have a high growth and expand considerably through acquisition. Since the numbers of these companies tend to change in a very short period of time, a rolling forecast with dynamic timeframe can be superfluous.