Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!To celebrate FabCon Vienna, we are offering 50% off select exams. Ends October 3rd. Request your discount now.
I need to calculate the percent change between two values based on the selected slicers. I have 4 years of data on my graph (see below), and I'd like to calculate the percent change in price based on the below example.
This is what my graph currently looks like along with the two slicers.
I want to be able to select a year and then two months and get a percent change for the two prices, For example, the below would be a -6% change from October to April.
Below is what I came up with, but haven't been able to make it work. Any input would be greatly appreciated:
Solved! Go to Solution.
@Anonymous
Try this measure please:
% Change ASP_Historical =
VAR __MinDateValue =
CALCULATE(
[ASP],
FORMAT('DATETABLE'[Date],"mmyy") = FORMAT(MIN('DATETABLE'[Date]),"mmyy"),
ALLSELECTED( 'DATETABLE' )
)
VAR __MaxDateValue =
CALCULATE(
[ASP],
FORMAT('DATETABLE'[Date],"mmyy") = FORMAT(Max('DATETABLE'[Date]),"mmyy"),
ALLSELECTED( 'DATETABLE' )
)
RETURN
DIVIDE( __MaxDateValue - __MinDateValue , __MinDateValue )
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
@Anonymous
Try this measure please:
% Change ASP_Historical =
VAR __MinDateValue =
CALCULATE(
[ASP],
FORMAT('DATETABLE'[Date],"mmyy") = FORMAT(MIN('DATETABLE'[Date]),"mmyy"),
ALLSELECTED( 'DATETABLE' )
)
VAR __MaxDateValue =
CALCULATE(
[ASP],
FORMAT('DATETABLE'[Date],"mmyy") = FORMAT(Max('DATETABLE'[Date]),"mmyy"),
ALLSELECTED( 'DATETABLE' )
)
RETURN
DIVIDE( __MaxDateValue - __MinDateValue , __MinDateValue )
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
User | Count |
---|---|
15 | |
9 | |
8 | |
6 | |
5 |
User | Count |
---|---|
29 | |
18 | |
15 | |
7 | |
6 |