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JMass22
Frequent Visitor

Cumulative Running Total

I am trying to calculate a cumulative total of [payments], but I want it to sum in ascending order of [day]. All solutions I have found start the running total with the largest payments down to the smallest. I want the cumulative total from day 0 - x. Thanks in advance.

 

Desired Result:

Day         Payment         Cumulative Total

0                 5                             5

1                10                           15

2                 7                            22

3                20                           42

 

1 ACCEPTED SOLUTION
Greg_Deckler
Super User
Super User

Cumulative Total Column = 

  VAR __Day = 'Table'[Day]

RETURN

  SUMX(FILTER('Table',[Day] <= __Day),[Payment])

 

Cumulative Total Measure = 

  VAR __Day = MAX('Table'[Day])

RETURN

  SUMX(FILTER(ALL('Table'),[Day] <= __Day),[Payment])


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View solution in original post

2 REPLIES 2
Greg_Deckler
Super User
Super User

Cumulative Total Column = 

  VAR __Day = 'Table'[Day]

RETURN

  SUMX(FILTER('Table',[Day] <= __Day),[Payment])

 

Cumulative Total Measure = 

  VAR __Day = MAX('Table'[Day])

RETURN

  SUMX(FILTER(ALL('Table'),[Day] <= __Day),[Payment])


@ me in replies or I'll lose your thread!!!
Instead of a Kudo, please vote for this idea
Become an expert!: Enterprise DNA
External Tools: MSHGQM
YouTube Channel!: Microsoft Hates Greg
Latest book!:
Mastering Power BI 2nd Edition

DAX is easy, CALCULATE makes DAX hard...

Update: Your solution works. I tested it on a smaller dataset. But, since it takes too long to load on my dataset, I have made an adjustment to my [Day] column. It is now a text field with less values. Can you modify your solution to work with a text field column please? Thank you in advance for all your help.

 

Desired Result:

    Day                      Payment               Cumulative

a. <=10                        50                            50

b. 11-20                       30                            80

c. 21-30                       10                             90

d. 31-40                       40                           130

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