---
sourceDocument: Brazil Platform Analytics
sourceDocumentLink: https://www.servicenow.com/docs/r/now-intelligence

 Release :

    - brazil

ft:locale :

    - en-US

ft:publication_title :

    - Brazil Platform Analytics

ft:clusterId :

    - par

bundleId :

    - par

workflow :

    - Platform


---

# Compare periods in a time series visualization

# Compare periods in a time series visualization {#ariaid-title1}

Release version: Brazil  
Updated October 2, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read  
Overlay several periods of an indicator on one time series visualization to compare
the same point in each period.

## Before you begin

The visualization must be a time series with an indicator data source, a single metric,
and no group by. The chart type must be Area, Line, Spline, or Step. For more
information, see [Period over period comparison in time series visualizations](https://www.servicenow.com/docs/xq9uLM6lhLgt7VXualx2vw "Period over period comparison overlays several time periods of an indicator on one time series visualization so that you can spot patterns, trends, and anomalies across the periods.").

Role required: admin, or a role that can edit a visualization.

## Procedure

1. Navigate to AllPlatform AnalyticsLibraryData Visualizations.  
   Select the time series data visualization you want to edit.
2. In the metric configuration, select the time aggregation that you want to compare across.  
   The time aggregation determines which Period options are available.
3. In the Date range section, set the Number of periods and the Period.  
   Leave Show maximum range and Set absolute period unchecked. Period over period comparison isn't available when either one is on.
4. Select Compare period over period.  
   If you don't see this setting, see [Period over period comparison in time series visualizations](https://www.servicenow.com/docs/xq9uLM6lhLgt7VXualx2vw "Period over period comparison overlays several time periods of an indicator on one time series visualization so that you can spot patterns, trends, and anomalies across the periods.") for the conditions that hide it.  
   The preview shows each period as a separate series.
5. Select Save.

## Result

The legend, tooltip, and data table column headers show one label for each period, such as 2026 or Q2 2026. The x-axis shows the position within each period.

*[\>]: and then