Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
Hi I can't seem to figure out how to calculate this. I have the following table. the automatic AVG measure by powerbi is not what i want as it averages the single transaction appening in a month. I want to know the average for the year.
ideally that would be:
(total amount of the year)/(count of month in the year)
but I cannot create the correct measure.
@Anonymous This should work in something like a card visual:
Measure = DIVIDE( SUM('Table'[Amount]), 12 )
Or, if you want it to be cumulative you could do this:
Measure =
VAR __Date = MAX('Table'[Date])
VAR __Table =
SUMMARIZE(
FILTER( 'Table', [Date] <= __Date ),
[Month],
"__Amount", SUM( 'Table'[Amount] )
)
VAR __Result = DIVIDE( SUMX( __Table, [__Amount] ), COUNTROWS( __Table ) )
RETURN
__Result
Hi @Greg_Deckler thanks for the reply I actually used a different method but I still need a bit of help.
Let me specify more things about my data set.
I have transactions (categorized and sub-categorized) spread across different years. I want to achieve two things:
1. to have the AVG amount of the transaction sums per each year
2. the same as above but divided by categories
So far I have been able to create static tables and measures filtering what I want with the two following formulas:
Table = SUMMARIZE(
FILTER(Merged_new,[Year]=2022 && [Type]="Expenses"),
Merged_new[Year],
Merged_new[Month],
Merged_new[Type],
"Sum_Net_Amount",SUM(Merged_new[Net Amount])
)
Measure =
AVERAGEX(
ALL('Table'[Month]),
CALCULATE(SUM('Table'[Sum_Net_Amount]))
)
This is very tedious and manual work obviously. How could I improve this and make it more dynamic? Any input will be highly appreciated.
If needed I can also provide the pwbi file.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Check out the February 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 62 | |
| 54 | |
| 40 | |
| 17 | |
| 15 |
| User | Count |
|---|---|
| 94 | |
| 84 | |
| 33 | |
| 32 | |
| 25 |