Power BI Matrix Visual Not Displaying Full Date Range Due to Column Pagination Limitation

[gowtham911]

We are experiencing an issue with the Matrix visual in Power BI Desktop where it is not displaying the complete date range of our dataset, despite the data being present and accessible in other visuals.

Issue Summary:

• We are using a timeline slicer to select data from April 2014 to July 2025.

• The underlying dataset contains data for the entire selected period, and other visuals (e.g., bar charts, tables) display this correctly.

• However, in a Matrix visual configured with dates/months on the columns and categories/products on the rows, we are only able to view data from April 2015 to July 2022.

• Data beyond July 2022 (i.e., from August 2022 to July 2025) is not visible in the matrix visual.

• After investigation, it appears this issue may be related to column pagination or rendering limitations in the Matrix visual. The visual seems to stop rendering additional columns beyond a certain point, even though data exists and is part of the selection.

• We confirmed that:

  • The date table extends to July 2025.

  • There are no filters restricting data beyond July 2022.

  • The same data appears correctly in other visuals using the same base table.

  • Measures and fields are configured correctly.

Request for Clarification/Support:

• Is this behavior an acknowledged limitation of the Matrix visual due to column pagination or rendering thresholds?

• Are there any best practices, settings, or configurations that would allow the Matrix visual to display all date columns up to July 2025?

• Is there a way to override or extend the pagination threshold so that users can scroll to future periods more reliably?

• If this is by design, could you provide recommended alternatives or enhancements we should consider?

We would appreciate your support in investigating this and resolve this issue. Thanks in Advance !

[v-mdharahman]

Hi @gowtham911,

Thanks for reaching out to the Microsoft fabric community forum.

Based on what you've shared and the visual evidence, it looks like you're running into a rendering limitation of the Power BI Matrix visual. When you display multiple measures across many months (like MoM %, YoY %, and Count), each month adds multiple columns. Across 11 years, that's well over 400 columns, which can overwhelm the Matrix rendering engine in Power BI Desktop.

Apart from @FBergamaschi's response you can also check few other work arounds like instead of showing the full range from 2014 to 2025 all at once, consider using a slicer to narrow down the period (like 2-3 years at a time). You can use a separate Year or Month slicer. 

Or you can use Drillthrough or Bookmarks which allow users to select a year or product and navigate to a detailed breakdown. This keeps the Matrix clean and avoids hitting layout limits.

I would also take a moment to thank @FBergamaschi, for actively participating in the community forum and for the solutions you’ve been sharing in the community forum. Your contributions make a real difference.

If I misunderstand your needs or you still have problems on it, please feel free to let us know.  

Best Regards,
Hammad.

[v-mdharahman]

Hi @gowtham911,

As we haven’t heard back from you, so just following up to our previous message. I'd like to confirm if you've successfully resolved this issue or if you need further help.

If yes, you are welcome to share your workaround so that other users can benefit as well.  And if you're still looking for guidance, feel free to give us an update, we’re here for you.

Best Regards,

Hammad.

[v-mdharahman]

Hi @gowtham911,
Hope everything’s going smoothly on your end. As we haven’t heard back from you, so I wanted to check if the issue got sorted.
Still stuck? No worries just drop us a message and we can jump back in on the issue.

Best Regards,

Hammad.

[v-mdharahman]

Hi @gowtham911,
We noticed there hasn’t been any recent activity on this thread. If you still need support, just drop a reply here and we’ll pick it up from where we left off.

Best Regards,

Hammad.

[FBergamaschi]

From 2014 to 2025 is 11 years, so 132 months. in each month you show 3 calculations, we are in the range of 400 columns to show in a single visual

Honestly, I would create a first chart only on years, to identify a first time span of interest (lower than 11 years) and then select details like months and related calculations in the same or another chart

I doubt it can be solved other ways such an issue, 400 columns to browse look an enormous number to me

Are you sure you really need all this columns in a single visual? Sorry for asking but mine is an honest question tp try to understand better the requirement

Best

If this helped, please consider giving kudos and mark as a solution

@me in replies or I'll lose your thread

consider voting this Power BI idea

Francesco Bergamaschi

MBA, M.Eng, M.Econ, Professor of BI

[gowtham911]

Hi FBergamaschi,

Thanks for your response and for highlighting the visual limitations.

To clarify, we don’t have a specific use case that requires showing all 11 years (400+ columns) at once. However, our main concern is around stakeholder perception. When the matrix visual stops at July 2022, it gives the impression that data is missing beyond that point, even though it exists in the model.

Occasionally, stakeholders may want to see the complete business data across the full date range in one visual. So we want to make sure it’s clear that the data is available, even if only a subset is shown at once.

Happy to hear any best practices or suggestions to handle this more effectively and avoid confusion.

Best regards,
Gowtham

[FBergamaschi · Accepted solution]

I understand

As written, either you show less years (eg start from 5 years ago) or you show less details

Cannot you consider to show the last 5 years for example? That can be dinamically calculated and would solve the problem

If this helped, please consider giving kudos and mark as a solution

@me in replies or I'll lose your thread

consider voting this Power BI idea

Francesco Bergamaschi

MBA, M.Eng, M.Econ, Professor of BI