This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreLevel up your Power BI skills this month - build one visual each week and tell better stories with data! Get started
My source data has customer name and transaction date that I have linked to a traditional calendar table.
We are looking at this data by quarter.
I have a filter to select a quarter. I want a measure that looks at the prior year quarter and sums all the customers who had sales in that quarter but not the selected quarter.
So I have Q2 2022 selected. I want a measure that sums the sales amount from Q2 2021 for all the customers who had sales in Q2 2021 but no sales in Q2 2022. This is my attempt but it's not really working:
No Sales Reported in Selected Qtr = CALCULATE([Prior Year QTD $],FILTER(VALUES('Combined Data'[Customer]),'Combined Data'[Net Sales $]=BLANK()))
Solved! Go to Solution.
Hi @PowerUser123
Please try
No Sales Reported in Selected Qtr =
VAR CurrentYear =
YEAR ( MAX ( 'Date'[Date] ) )
VAR CurrentYearCustomers =
VALUES ( 'Combined Data'[Customer] )
VAR CurrentYearCustomers =
CALCULATETABLE (
VALUES ( 'Combined Data'[Customer] ),
'Date'[Year] = CurrentYear - 1
)
VAR ChurnedCustomers =
EXCEPT ( CurrentYearCustomers, CurrentYearCustomers )
RETURN
CALCULATE ( [Prior Year QTD $], ChurnedCustomers )
| Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
Hi @PowerUser123
Please try
No Sales Reported in Selected Qtr =
VAR CurrentYear =
YEAR ( MAX ( 'Date'[Date] ) )
VAR CurrentYearCustomers =
VALUES ( 'Combined Data'[Customer] )
VAR CurrentYearCustomers =
CALCULATETABLE (
VALUES ( 'Combined Data'[Customer] ),
'Date'[Year] = CurrentYear - 1
)
VAR ChurnedCustomers =
EXCEPT ( CurrentYearCustomers, CurrentYearCustomers )
RETURN
CALCULATE ( [Prior Year QTD $], ChurnedCustomers )
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 30 | |
| 23 | |
| 23 | |
| 17 | |
| 15 |
| User | Count |
|---|---|
| 62 | |
| 36 | |
| 30 | |
| 25 | |
| 21 |