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Show Values in Rows in Power BI

Show Values in Rows In a matrix in Power BI

How to Show Values on Rows in a Power BI Matrix Visual

In Power BI, adding multiple measures to a Matrix visual automatically places them side-by-side as columns. However, many financial reports, P&Ls, and executive summaries require your metrics stacked vertically as individual rows.

If you are transitioning from Excel Pivot Tables, finding this setting in Power BI isn’t immediately obvious—but it only takes a single toggle to fix.

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By default, Power BI displays multiple measure values side-by-side in columns. However, for financial summaries, P&Ls, and executive reports, you often need values stacked vertically as individual rows.

If you are transitioning from Excel Pivot Tables, finding where Power BI hides this formatting setting isn’t immediately obvious, but it only takes a single toggle to switch, as shown in this example:

Power BI Matrix showing values in rows

If you are familiar with How to create Pivot Tables in Excel ,you know Excel handles row metrics automatically. In Power BI, you just need to turn on a single formatting setting:

 

Step 1: Start with a Standard Matrix Visual

To begin, set up a standard Matrix visual on your Power BI report canvas:

  • Rows field: Add Category

  • Values field: Add Sales Amount and Order Quantity

By default, Power BI places these two measures side-by-side as separate columns:

Matrix Visual in Power BIPower BI Matrix Visual Fields Settings

Step 2: Navigate to Format Settings

To switch these column values into rows:

  1. Click on the Matrix visual to select it.
  2. Go to the Visualisations pane on the right-hand side.
  3. Select the Format your visual tab (the paintbrush icon).

Format your visual Icon in Power BI

   4. Locate the Values section and click the chevron (>) to expand the options

Format your visual options in Power BI

5. Scroll down to the bottom of the Values settings (under Options) and toggle “Show on rows” to On.

Switch Values to Rows setting in Power BI

 

Final Result: Matrix Values Displayed on Rows

Once enabled, your Matrix visual will immediately update to show each measure stacked vertically as its own row under the corresponding category:

A Matrix visual after adjusting the setting to show values in Rows in Power BI

Each additional metric you place in the Values field well will now automatically appear as a new row beneath each category item.

 

Adding Hierarchy Levels (Expand/Collapse)

If you add additional levels to your row hierarchy (such as Sub Category under Category), Power BI adds a + icon next to each parent category.

This lets report consumers expand or collapse levels while keeping the stacked measure layout intact:

Power BI Values in Rows with Subcategory collapsedPower BI Values in Rows with Subcategory Expanded

 

 

Adjust Indentation for Stepped Layouts

By default, the stepped layout indentation in Power BI Matrix visuals can be subtle and difficult for users to distinguish.

To make your hierarchy clearer and easier to read, you can increase the row header indentation:

  1. Open the Format visual pane (paintbrush icon) with the Matrix selected.

  2. Expand Row headers and scroll down to expand Options.

  3. Find the Stepped layout indentation setting.

  4. Increase the indent value (setting it to at least 20 pt) to make the hierarchy levels distinct and easy to scan.

Adjust the stepped layout indentation in Power BI

After increasing this value to at least 20 the matrix is much clearer to read

Power BI Matrix showing values in rows

Displaying measure values on rows in a Power BI Matrix visual is one of the quickest ways to create clear financial reports, P&L statements, and executive dashboards.

By toggling Show on rows and adjusting your stepped layout indentation, you can easily replicate familiar Excel Pivot Table layouts directly in Power BI.

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Simon Harrison

Simon Harrison is the founder and director of Select Distinct Limited and a Business Intelligence expert.
He specialises in SQL Server architecture, Power BI, and enterprise data warehousing.