Easy Tech Tuts
Power BI

How to Display Multiple Values in One Card in Power BI (Clean KPI Display) Easily 2026

By Impran M N

Spreading every KPI across its own separate card can clutter a Power BI report, when combining related values into one card would communicate more clearly. This guide covers how to display multiple values together for a clean KPI presentation. It's a useful technique for sales, finance, and marketing dashboards where quick decision-making matters.

01Prepare your KPI fields

Identify the specific values you want to combine into a single card, making sure each one is ready in your data model.

02Add values to the card

Insert the multiple measures into the same card visual so they're grouped together in one consolidated view.

03Customize the appearance

Adjust labels, sizing, and spacing so each value is clearly distinguishable within the shared card.

04Apply it to real use cases

Use the combined card for scenarios like sales, finance, or marketing metrics where a compact, at-a-glance view is valuable.

05Follow best practices for KPI cards

Limit the number of values on a single card so it stays readable rather than becoming cluttered and hard to scan quickly.

FAQ

Frequently asked questions

How many values can I fit on one card in Power BI?

There's no strict limit, but keeping it to a small number of closely related values keeps the card easy to read.

Is combining values into one card a built-in Power BI feature?

Yes, it relies on standard card visual customization rather than needing a custom or third-party visual.

Will this technique work for both sales and finance dashboards?

Yes, it's flexible enough to apply to any KPI set, including sales, finance, or marketing metrics.

Can I update the values automatically as data refreshes?

Yes, since the card pulls from your live measures, the displayed values update automatically with your data refresh.

Does this technique require advanced DAX knowledge?

Basic measure setup is usually enough, though more advanced KPI logic could involve some additional DAX depending on your data.

Watch the full walkthrough

The same steps, demonstrated on screen from start to finish.