Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Join us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.

Reply
apatwal
Helper III
Helper III

Difference between cumulative values

Hi,

 

I need help in creating DAX.

I have an requirement to work on Incremental Margin which is cumulative of Margin and want to plot difference of incremental margin.

I need that Incremental Margin for 2022 should subtract the 2021 Incremental Margin from the comparable week. E.g., For week of Jan 3, 2022, we need to calculate the week’s total incremental margin and then subtract the incremental margin from week of Jan 4, 2021.

 

below is the DAX which is used to create measure to calculate cumulative of Incremental Margin

Incremental Margin Cumulative =
CALCULATE(
    SUM('table'[Incremental Margin]),
    FILTER(
        CALCULATETABLE(
            SUMMARIZE(
                'table',
                'table'[YrMnthCode],
                'table'[YearMonth]
            ),
            ALLSELECTED('table')
        ),
        ISONORAFTER(
            'table'[YrMnthCode], MAX('table'[YrMnthCode]), DESC,
            'table'[YearMonth], MAX('table'[YearMonth]), DESC
        )
    )
)
 
Let me know how can I build DAX for this.
3 REPLIES 3
amitchandak
Super User
Super User

@apatwal , You need have column like these in you date tbale, along with year and week

 

new columns
Week Start date = 'Date'[Date]+-1*WEEKDAY('Date'[Date],2)+1
Week End date = 'Date'[Date]+ 7-1*WEEKDAY('Date'[Date],2)
Week Rank = RANKX(all('Date'),'Date'[Week Start date],,ASC,Dense)
OR
Week Rank = RANKX(all('Date'),'Date'[Year Week],,ASC,Dense) //YYYYWW format

 

 

Then you can have week measures like

This Week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=max('Date'[Week Rank])))
Last Week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=max('Date'[Week Rank])-1))
 

Last year Week= CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=(max('Date'[Week Rank]) -52)))

or

Last year Week= CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=(max('Date'[Week Rank]) -53)))

 

or

 

This week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Year]=max('Date'[Year]) && 'Date'[Week] = Max('Date'[Week]) ))
Last year same week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Year]=max('Date'[Year])-1 && 'Date'[Week] = Max('Date'[Week])))

Full Power BI Video 20 Hours YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube

Hi @amitchandak 

 

Thanks for your reply!

Just to inform we don't have separate date table, date column is included in our dataset and we have millions of records in our dataset.

 

@apatwal ,  Try like

example

week Year behind Sales = CALCULATE(SUM(Sales[Sales Amount]),dateadd('Sales'[Date],-364,DAY))

 

or

This week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Table'),'Table'[Year]=max('Table'[Year]) && 'Table'[Week] = Max('Table'[Week]) ))
Last year same week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Table'),'Table'[Year]=max('Table'[Year])-1 && 'Table'[Week] = Max('Table'[Week])))

 

 

But My advice would be to get a date table added to the model. Things would be easy

Full Power BI Video 20 Hours YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube

Helpful resources

Announcements
Join our Fabric User Panel

Join our Fabric User Panel

This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.

June 2025 Power BI Update Carousel

Power BI Monthly Update - June 2025

Check out the June 2025 Power BI update to learn about new features.

June 2025 community update carousel

Fabric Community Update - June 2025

Find out what's new and trending in the Fabric community.