Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowJuly 7 - July 17 | Round 2 of the Power BI Dataviz World Championships. Don't miss your chance! Learn more
I am having trouble using the RANKX function. I have two tables. One is a table with inventory values that contains the measure INV $ (The measure is just a sum of the inventory $ column). The other is a dimensional table containing the item numbers and other descriptive information about each item we sell. These two tables are joined on an item key.
I have a table in Power BI that shows the measure INV $ grouped by Item Family. I have shown a sample table below.
Family INV $ Rank
Family 1 $1,000,000 1
Family 2 $998,000 2
Family 3 $997,000 3
Family 4 $996,000 3
Family 5 $995,000 5
Family 6 $994,000 5
The formula I am using is
Rank = RANKX(ALLSELECTED('Dim Item'[Family]), [INV $],,DESC,Dense)
For some reason, it is duplicating ranks for families that clearly have different values for INV $. I know this may be hard without seeing the actual data and file, but does anyone have any idea what I am doing wrong?
Thanks!
For those having this issue I was able to solve it with the below formula:
[Rank] :=
IF (
HASONEVALUE ( 'Dim Item'[Family] ),
RANKX(ALLSELECTED('Dim Item'[Family]), [INV $],,DESC,Dense)
)
I have no clue why IF HASONEVALUE made the difference however, I've posted the question to the original site:
https://www.sqlbi.com/articles/use-of-rankx-in-power-bi-measures/
Has there been any solution to this issue? I am also experience the same problem with RANKX.
I have the same issue, please help
Hi @rhouse,
Could you try the formula below to see if it works? ![]()
Rank = RANKX ( ALL ( 'Dim Item' ), [INV $],, DESC, DENSE )
Regards
Hi @rhouse,
Could you post your table structures(including table relationships) with some sample data, so that we can help further investigate on this issue? It's better that you can also share a sample pbix file if possible. You can upload it to OneDrive or Dropbox and post the link here. Do mask sensitive data before uploading. ![]()
Regards
Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.
Join Data Days 2026: 60 days of free live/on-demand sessions, challenges, study groups, and certification opportunities.
| User | Count |
|---|---|
| 26 | |
| 25 | |
| 19 | |
| 19 | |
| 15 |
| User | Count |
|---|---|
| 48 | |
| 46 | |
| 43 | |
| 36 | |
| 35 |