How to Export Power BI Data to Excel

Overview
Exporting data from Power BI to Excel is a core task for analysts who need to share tables, perform deeper ad‑hoc analysis, or integrate Power BI outputs into existing spreadsheet workflows. Because Excel remains central in many organizations, being able to move data cleanly from Power BI ensures that insights produced in Desktop can be reused for modelling, reporting, or operational decision‑making.
This article focuses only on the export methods available in Power BI Desktop. It explains how to export summarized data directly from visuals when you need the aggregated numbers shown in charts or tables. It also covers how to extract complete tables from the Data pane, giving you a straightforward way to move entire model tables into Excel without relying on visuals.
1. Exporting Aggregated Numbers in Charts & Tables
To export aggregated numbers in your visuals.
Click the three dots (...) in the corner of the visual.
Select Export data from the menu.
Give the file a Name and click Save to export it.
Locate the file on your computer and open it in Excel.

2. Extracting Complete Tables from the Data Pane (Entire Model Tables)
You can extract a complete table from the Data pane in Power BI Desktop to Excel by using the built-in copy table feature in Data View.
To do so.
Click on the Data view icon (the table grid symbol) on the left-hand side panel.
Look at the Data pane on the right side and click on the specific table you want to extract.
Right-click on the table name (or any column/field inside that table) in the Data pane.
Select Copy table from the menu.
Open an Excel workbook.
Select cell A1 on a blank sheet, right-click, and Paste (or press Ctrl + V).

Conclusion
Exporting data from Power BI Desktop to Excel remains a practical and reliable way to bridge interactive BI reporting with familiar spreadsheet‑based analysis. Whether you need quick aggregated figures from a visual, or an entire model table for deeper exploration, Power BI provides straightforward export options that fit each scenario. By understanding these different methods and when to use them, analysts can move data between Power BI and Excel efficiently, support diverse stakeholder needs, and maintain a smooth workflow across both tools.
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