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

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more

Reply
obesli
Frequent Visitor

Calculating cumulative values

 

 

I have data lite this table. Year mont column and sales amount in each mont. I would like to calculate mothly cumulative value, but I couldn't do it. IS there any method to propose?

 

Capture.JPG

 

 

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @obesli,


You can try to use below measures:

Spoiler
Cumulative = 
VAR _current =
    SELECTEDVALUE ( 'Table'[DateKey] )
VAR _previous =
    MAXX ( FILTER ( ALL ( 'Table' ), [DateKey] < _current ), [DateKey] )
RETURN
    IF (
        RIGHT ( VALUE ( _current ), 2 ) <> "01",
        SUMX (
            FILTER (
                ALL ( 'Table' ),
                [DateKey] < _current
                    && LEFT ( VALUE ( [DateKey] ), 4 ) = LEFT ( VALUE ( _current ), 4 )
            ),
            [Sales]
        ),
        MAX ( 'Table'[Sales] )
            + LOOKUPVALUE ( 'Table'[Sales], 'Table'[DateKey], _previous )
    )


Cumulative(Jan replace current + Previous Total) = 
VAR _current =
    SELECTEDVALUE ( 'Table'[DateKey] )
VAR _previous =
    MAXX ( FILTER ( ALL ( 'Table' ), [DateKey] < _current ), [DateKey] )
RETURN
    IF (
        RIGHT ( VALUE ( _current ), 2 ) <> "01",
        SUMX (
            FILTER (
                ALL ( 'Table' ),
                [DateKey] < _current
                    && LEFT ( VALUE ( [DateKey] ), 4 ) = LEFT ( VALUE ( _current ), 4 )
            ),
            [Sales]
        ),
        MAX ( 'Table'[Sales] )
            + SUMX (
                FILTER (
                    ALL ( 'Table' ),
                    'Table'[DateKey] <= _previous
                        && LEFT ( VALUE ( [DateKey] ), 4 ) = LEFT ( VALUE ( _previous ), 4 )
                ),
                [Sales]
            )
    )

Result:

11.PNG

 

Regards,

Xiaoxin Sheng

View solution in original post

8 REPLIES 8
Zubair_Muhammad
Community Champion
Community Champion

HI @obesli

 

You can use this calculated column

 

But this will Cumulate from all prior year.

Do you want accumulation to restart every year

 

=
CALCULATE (
    SUM ( [Total Sales] ),
    FILTER ( Table1, Table1[Year Month] <= EARLIER ( Table1[Year Month] ) )
)

@obesli

 

You can try using this column if you Cumulative results to restart each year

 

=
CALCULATE (
    SUM ( [Total Sales] ),
    FILTER (
        Table1,
        LEFT ( Table1[Year Month], 4 ) = LEFT ( EARLIER ( Table1[Year Month] ), 4 )
            && Table1[Year Month] <= EARLIER ( Table1[Year Month] )
    )
)

 

 

Hi,

 

Thank you for yoru reply. I did the second query and it works weel, but I need additional support.

I would like to summarize values before 201801 under 201801 and after 201901 under 201901.

 

How can I add such additional query?

 

Thanks,

 

Hi @obesli

 

Please could you show the desired results?

I would like to show data like this.

 

 

Capture.JPG

HI @obesli

 

In that case you can add a colum to Group the periods

Then use this column for chart

For example

 

=
IF (
    Table1[Year Month] > 201901,
    "2019-2020",
    FORMAT ( Table1[Year Month], "General Number" )
)

I did it, but this time there are same values in different rows and all off them calculated in the cumulative value. I need to take only row value and the other thing is in 201901 I need to add  the  201812  value to 201901.

 

How could I solve in the queries?

 

Capture.JPG

 

 

 

Capture1.JPG

Anonymous
Not applicable

Hi @obesli,


You can try to use below measures:

Spoiler
Cumulative = 
VAR _current =
    SELECTEDVALUE ( 'Table'[DateKey] )
VAR _previous =
    MAXX ( FILTER ( ALL ( 'Table' ), [DateKey] < _current ), [DateKey] )
RETURN
    IF (
        RIGHT ( VALUE ( _current ), 2 ) <> "01",
        SUMX (
            FILTER (
                ALL ( 'Table' ),
                [DateKey] < _current
                    && LEFT ( VALUE ( [DateKey] ), 4 ) = LEFT ( VALUE ( _current ), 4 )
            ),
            [Sales]
        ),
        MAX ( 'Table'[Sales] )
            + LOOKUPVALUE ( 'Table'[Sales], 'Table'[DateKey], _previous )
    )


Cumulative(Jan replace current + Previous Total) = 
VAR _current =
    SELECTEDVALUE ( 'Table'[DateKey] )
VAR _previous =
    MAXX ( FILTER ( ALL ( 'Table' ), [DateKey] < _current ), [DateKey] )
RETURN
    IF (
        RIGHT ( VALUE ( _current ), 2 ) <> "01",
        SUMX (
            FILTER (
                ALL ( 'Table' ),
                [DateKey] < _current
                    && LEFT ( VALUE ( [DateKey] ), 4 ) = LEFT ( VALUE ( _current ), 4 )
            ),
            [Sales]
        ),
        MAX ( 'Table'[Sales] )
            + SUMX (
                FILTER (
                    ALL ( 'Table' ),
                    'Table'[DateKey] <= _previous
                        && LEFT ( VALUE ( [DateKey] ), 4 ) = LEFT ( VALUE ( _previous ), 4 )
                ),
                [Sales]
            )
    )

Result:

11.PNG

 

Regards,

Xiaoxin Sheng

Helpful resources

Announcements
Power BI DataViz World Championships

Power BI Dataviz World Championships

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!

December 2025 Power BI Update Carousel

Power BI Monthly Update - December 2025

Check out the December 2025 Power BI Holiday Recap!

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.