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!Vote for your favorite vizzies from the Power BI Dataviz World Championship submissions. Vote now!
I have a column of List_Date (mm/dd/yyy) for dates beginning in 2012-2017. I also have a Sales_Pric column, for which I would like to calculate the 3-month trailing average and 12-month trailing average of the NUMBER of sales/mo.
We need to use sales as count of sales.
Please let me know first I need to add one column of count of the sales? or Sales_Pric column can be user directly to find the trailing average.
Solved! Go to Solution.
Here is a 12 month trailing average that i've been using. This requires a Date Table which includes a column called "YEARMONTH" which is simply a concatination of year and month. I.e. January 2017 = "201701"
Measure 12 Mth Avg = CALCULATE(
if(
countrows(values('Dim - Date Table'[YearMonth])) = 1,
[Your Measure],
AVERAGEX(
values('Dim - Date Table'[YearMonth]),
[YourMeasure]
)
),
DATESINPERIOD(
'Dim - Date Table'[Date],
LASTDATE('Dim - Date Table'[Date]),
-12,
MONTH
)
)
Would this work for you?
Here is a 12 month trailing average that i've been using. This requires a Date Table which includes a column called "YEARMONTH" which is simply a concatination of year and month. I.e. January 2017 = "201701"
Measure 12 Mth Avg = CALCULATE(
if(
countrows(values('Dim - Date Table'[YearMonth])) = 1,
[Your Measure],
AVERAGEX(
values('Dim - Date Table'[YearMonth]),
[YourMeasure]
)
),
DATESINPERIOD(
'Dim - Date Table'[Date],
LASTDATE('Dim - Date Table'[Date]),
-12,
MONTH
)
)
Would this work for you?
Vote for your favorite vizzies from the Power BI World Championship submissions!
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 64 | |
| 56 | |
| 43 | |
| 20 | |
| 17 |
| User | Count |
|---|---|
| 123 | |
| 108 | |
| 44 | |
| 32 | |
| 26 |