How to sum value in column with a condition in other column

[daviddalterio90]

Hi,
I'm having trouble calculating the sum of one column based on the condition of another column.
My dataset (an example below) contains rows that represent inventory movements, movements can be of three types:
load, unload, setup.
In the case of a setup type row it represents an inventory type row, therefore an existence at a precise date, with this condition I have to calculate the stock starting from the last setup type row onwards.

Product Code	Date (DD/MM/YYYY)	Type	Qty
001	01/01/2021	setup	20
001	02/01/2021	load	10
001	03/01/2021	unload	-15
001	04/01/2021	setup	14
001	06/01/2021	unload	-3

the final quantity of product 001 will be 11.

could you show me a solution to calculate this sum?

Thank you for the help

[colacan]

Hi daviddalterio90,

Let's say your table is CountQty, then you can use below code to count Qty since the last "setup"

FinalStock =

                        // To find the last Date when the type is "setup"
VAR LastSetupDate =
    CALCULATE(
        LASTNONBLANK( CountQty[CodeDate], MAX( CountQty[Qty] ) ),
        CountQty[Type] = "setup"
    )

                        // To filter the table where the CodeDate is bigger than LastSetupDate

VAR FilteredTable =
    CALCULATETABLE( CountQty, CountQty[CodeDate] >= LastSetupDate )

                        // Sum all Qty from the filtered table

VAR Result =
    SUMX( FilteredTable, CountQty[Qty] )

RETURN
    Result

Hope this helps you. Thanks