Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hi,
Im trying to do the following:
I have visual with 2 measures:
Solved! Go to Solution.
Hi @Bohumil_Uhrin ,
You can use the following measure, and it will show what you want:
Amortisation value prev =
VAR prev_month = MAX(data[Month])-1
RETURN
calculate([Amortisation value],filter(ALLEXCEPT(data,data[Material]),data[Month]=prev_month))
If this post help, please consider accept it as the solution to help other member find it more quickly.
Best Regards,
Dedmon Dai
is your data[Month] a date field or a number field? what happens if the month is January?
Did you notice that you subtract 1 twice?
data[Month] is number field
yeah, I subtracted twice - I corrected
I have data only for months 3-9. When I select the smallest (3), its the same - blanks.
I shared file on onedrive: https://1drv.ms/u/s!AsS4aATA1W9agqQtzmF_2oMhuMB6aA?e=YmOQXZ
thank you very much for your help
Hi @Bohumil_Uhrin ,
You can use the following measure, and it will show what you want:
Amortisation value prev =
VAR prev_month = MAX(data[Month])-1
RETURN
calculate([Amortisation value],filter(ALLEXCEPT(data,data[Material]),data[Month]=prev_month))
If this post help, please consider accept it as the solution to help other member find it more quickly.
Best Regards,
Dedmon Dai
thank you, this worked well 🙂
hi, yes, I was using measure for [max month], but with the variable its the same - Im geting blank values
is [max month] a measure? Use a variable instead.
Check out the July 2025 Power BI update to learn about new features.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
User | Count |
---|---|
67 | |
64 | |
57 | |
39 | |
27 |
User | Count |
---|---|
85 | |
59 | |
45 | |
43 | |
38 |