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Helper I

## Cumulative monthly totals

Hi,

I have a Date table and fact table related by field called Year

I want to achieve a table like this:

 Year MonthNo sales Monthly Cumulative 2022 01 20 20 2022 02 30 50 2022 03 40 90 2022 04 50 140

I have used this dax to obtain this measure Monthly cumulative:

``````Monthly cumulative=
calculate(sum(sales),
filter(allselected('Date'),
'Date'[Dates]<=Max('Date'[Dates])))``````

But the result is

140

140

140

140

I want to this in a bar graph too.

How do i do this?

2 ACCEPTED SOLUTIONS
Super User

Hi,

I am not sure how your datamodel looks like, but please try something like below whether it suits your requirement.

``````Monthly cumulative =
CALCULATE (
SUM ( sales[revenue] ),
FILTER ( ALLSELECTED ( 'Date'[Dates] ), 'Date'[Dates] <= MAX ( 'Date'[Dates] ) )
)
``````

If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.

Super User

Monthly cumulative =
calculate(sum(fact_table[Sales]),
filter(allselected('fact_table'),
'fact_table'[Month]<=Max('fact_table'[Month])))

please check your relationship of date and sale table and also filter direction of table.

3 REPLIES 3
Helper I

Thanks guys. I got the answer when I was just posting this question. However, the reply button deactivated, when I want to say.. I got the answer.

Thanks again for looking into it.

Super User

Monthly cumulative =
calculate(sum(fact_table[Sales]),
filter(allselected('fact_table'),
'fact_table'[Month]<=Max('fact_table'[Month])))

please check your relationship of date and sale table and also filter direction of table.

Super User

Hi,

I am not sure how your datamodel looks like, but please try something like below whether it suits your requirement.

``````Monthly cumulative =
CALCULATE (
SUM ( sales[revenue] ),
FILTER ( ALLSELECTED ( 'Date'[Dates] ), 'Date'[Dates] <= MAX ( 'Date'[Dates] ) )
)
``````

If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.