Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Sign up nowGet Fabric certified for FREE! Don't miss your chance! Learn more
Hi Friends,
I am looking for a DAX measure to calculate Change in Percentage w.r.t to a particular period by Products. Please suggest me how can we write the optimized DAX for the same. Provided a sample with required output. Baseline is Jan-23 data, this can vary as per business request. Any suggestions are much appreciated.
MY Product Qty %Change
| Jan-23 | PROD1 | 100 | |
| Feb-23 | PROD1 | 120 | 20% |
| Mar-23 | PROD1 | 135 | 35% |
| Apr-23 | PROD1 | 140 | 40% |
| May-23 | PROD1 | 120 | 20% |
| Jun-23 | PROD1 | 100 | 0% |
| Jul-23 | PROD1 | 80 | -20% |
| Aug-23 | PROD1 | 90 | -10% |
| Sep-23 | PROD1 | 75 | -25% |
| Oct-23 | PROD1 | 100 | 0% |
| Nov-23 | PROD1 | 80 | -20% |
| Dec-23 | PROD1 | 65 | -35% |
Thanks
Solved! Go to Solution.
Hi @manojk_pbi ,
Please update the formula of measure as below to get it, please find the details in the attachment.
%Change =
VAR _MY =
SELECTEDVALUE ( 'Table'[MY] )
VAR _product =
SELECTEDVALUE ( 'Table'[Product] )
VAR _preMY =
CALCULATE (
MIN ( 'Table'[MY] ),
FILTER ( ALLSELECTED ( 'Table' ), 'Table'[Product] = _product )
)
VAR _preqty =
CALCULATE (
SUM ( 'Table'[Qty] ),
FILTER (
ALLSELECTED ( 'Table' ),
'Table'[Product] = _product
&& 'Table'[MY] = _preMY
)
)
RETURN
IF (
_MY = _preMY,
BLANK (),
DIVIDE ( SUM ( 'Table'[Qty] ) - _preqty, _preqty )
)
Best Regards
Thanks for your solution. It's perfect.
Thanks for your solution. It's perfect.
That is a very, very subjective topic especially when sign changes are involved (like in your case).
One approximation is DIVIDE(current-previous, ABS(previous),BLANK())
But at the end of the day you have to decide what is a reasonable number in your scenarios.
Thanks for your input.
I am looking for suggestion on writing measure to calculate % Change .
@lbendlin Thanks for your contribution on this thread.
Hi @manojk_pbi ,
@lbendlin already gave the related formula. If you want to get the expected result base on your sample data, you can create a measure as below to get it:
%Change =
VAR _MY =
SELECTEDVALUE ( 'Table'[MY] )
VAR _preMY =
CALCULATE ( MIN ( 'Table'[MY] ), ALLSELECTED ( 'Table' ) )
VAR _preqty =
CALCULATE (
SUM ( 'Table'[Qty] ),
FILTER ( ALLSELECTED ( 'Table' ), 'Table'[MY] = _preMY )
)
RETURN
IF (
_MY = _preMY,
BLANK (),
DIVIDE ( SUM ( 'Table'[Qty] ) - _preqty, _preqty )
)
Best Regards
@Anonymous , this is perfect. Thanks for the working sample. If i were had to add Product into filter to calculate % Change for each product what changes to be made here ?
Pls suggest
Hi @manojk_pbi ,
Please update the formula of measure as below to get it, please find the details in the attachment.
%Change =
VAR _MY =
SELECTEDVALUE ( 'Table'[MY] )
VAR _product =
SELECTEDVALUE ( 'Table'[Product] )
VAR _preMY =
CALCULATE (
MIN ( 'Table'[MY] ),
FILTER ( ALLSELECTED ( 'Table' ), 'Table'[Product] = _product )
)
VAR _preqty =
CALCULATE (
SUM ( 'Table'[Qty] ),
FILTER (
ALLSELECTED ( 'Table' ),
'Table'[Product] = _product
&& 'Table'[MY] = _preMY
)
)
RETURN
IF (
_MY = _preMY,
BLANK (),
DIVIDE ( SUM ( 'Table'[Qty] ) - _preqty, _preqty )
)
Best Regards
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 3 | |
| 2 | |
| 2 | |
| 1 | |
| 1 |
| User | Count |
|---|---|
| 5 | |
| 4 | |
| 3 | |
| 2 | |
| 2 |