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 moreDid you hear? There's a new SQL AI Developer certification (DP-800). Start preparing now and be one of the first to get certified. Register now
Hi,
I need to calculate the percentage of weekly sales contribution.
Sales contribution= W1/W1+W2+W3+W4+W5
In the calculation the slicer should filter the sales and total contribution should be always 100% upon multiple month or groupcode selection.
Ex- W1, W2, W3, W4, W5 sales of Jan should 100% and Dec should be 100% individually even if multiple months are selected. The slicer should also function based upon multiple selection of Groupcode and month also.
Solved! Go to Solution.
The context of where you use the measure will be important. Because of the "ALLEXCEPT" line, if you give it a context where both JAN and FEB exist in the same context, your denominator is going to be JAN + FEB.
I'd expect you'd want to use this measure on a table where you have row contexts for JAN and FEB separately.
If you are selecting a context where JAN and FEB are both present, how are you expecting to aggregate the output? Like if Jan was 99% and Feb was 90%, what total value would you expect your measure to produce?
I'm assuming that GroupCode needs to be kept in your context filters. If i understand what you are asking for, you want this?
Contribution Sales =
var weeklySales = SUM('Sales Contribution'[Sales])
var totalMonthSales = CALCULATE(
SUM('Sales Contribution'[Sales]),
ALLEXCEPT('Sales Contribution'[GroupCode]), 'Sales Contribution'[MonthYear])
)
RETURN
DIVIDE(weeklySales, totalMonthSales)
Now using your measure,
Upon multiple year selection, the sum of % contribution of Jan & Dec Individually is not 100%.
Instead, it is 100% upon summation of both months.
Expectation: % contribution sales of Jan should be 100% and Dec should also be 100% contribution.
The context of where you use the measure will be important. Because of the "ALLEXCEPT" line, if you give it a context where both JAN and FEB exist in the same context, your denominator is going to be JAN + FEB.
I'd expect you'd want to use this measure on a table where you have row contexts for JAN and FEB separately.
If you are selecting a context where JAN and FEB are both present, how are you expecting to aggregate the output? Like if Jan was 99% and Feb was 90%, what total value would you expect your measure to produce?
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 |
|---|---|
| 34 | |
| 31 | |
| 25 | |
| 20 | |
| 16 |
| User | Count |
|---|---|
| 61 | |
| 49 | |
| 28 | |
| 23 | |
| 23 |