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, community,
I'm trying to get the cumulative total calls in my data monthwise.
As you can see if I'm using the Month number then the cumulative is working perfectly.
But in Month's case, it is not working.
Is there any workaround if I want it monthwise?
used the following Dax measure.
Solved! Go to Solution.
@Niraj_vora0106 , First of if you have date table, then you should use the month from dates table. Second distinct count will not sum , because same id can repeat across month
Also you can use date, no need to use month, you can try like
V3 Cumulative Total Calls =
CALCULATE(DISTINCTCOUNT(T2363[IncidentNo]),
FILTER(ALLSELECTED(DATES),
DATES[Date] <= MAX(DATES[Date])))
or
V3 Cumulative Total Calls =
CALCULATE(sumx(Values(Dates[Month]), calculate(DISTINCTCOUNT(T2363[IncidentNo]))),
FILTER(ALLSELECTED(DATES),
DATES[Date] <= MAX(DATES[Date])))
Hi, @amitchandak
Oh okay got it, used the Months from Dates column and tried the DAX that you suggested.
Got the outcome.
Thank you, sir!
@Niraj_vora0106 , First of if you have date table, then you should use the month from dates table. Second distinct count will not sum , because same id can repeat across month
Also you can use date, no need to use month, you can try like
V3 Cumulative Total Calls =
CALCULATE(DISTINCTCOUNT(T2363[IncidentNo]),
FILTER(ALLSELECTED(DATES),
DATES[Date] <= MAX(DATES[Date])))
or
V3 Cumulative Total Calls =
CALCULATE(sumx(Values(Dates[Month]), calculate(DISTINCTCOUNT(T2363[IncidentNo]))),
FILTER(ALLSELECTED(DATES),
DATES[Date] <= MAX(DATES[Date])))
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 |
|---|---|
| 66 | |
| 60 | |
| 45 | |
| 19 | |
| 15 |
| User | Count |
|---|---|
| 108 | |
| 108 | |
| 41 | |
| 30 | |
| 27 |