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,
I have create the following table summarizing a data table as follows:
this_table =
SUMMARIZE(
'main_table',
ROLLUP(
main_table[fiscal year (type)]),
main_table[Poperty],
main_table[Account type],
"Value",
SUM(main_table[Value]))
resulting in something like this:
Fiscal Year (type) | Property | Account type | Value |
2019 | A | All Revenues | 100 |
2019 | B | All Revenues | 90 |
2019 | C | All Revenues | 80 |
2019 | A | All Costs | 75 |
2019 | B | All Costs | 70 |
2019 | C | All Costs | 60 |
... | ... | ... | ... |
Now, I need to create another category of "Account type", which will be the EBITDA (All Revenues - All costs), resulting in something like:
Fiscal Year (type) | Property | Account type | Value |
2019 | A | All Revenues | 100 |
2019 | B | All Revenues | 90 |
2019 | C | All Revenues | 80 |
2019 | A | All Costs | 75 |
2019 | B | All Costs | 70 |
2019 | C | All Costs | 60 |
2019 | A | EBITDA | 25 |
2019 | B | EBITDA | 20 |
2019 | C | EBITDA | 20 |
What's the easiest way to do it?
The table was created as a table, not as a new request, so it's not available in the transformation menu.
Thank you
this_table =
var __coreTable =
SUMMARIZE(
'main_table',
ROLLUP( main_table[fiscal year (type)] ),
main_table[Poperty],
main_table[Account type],
"@Value", SUM( main_table[Value] )
)
var __additionalAccountType =
ADDCOLUMNS(
CROSSJOIN(
DISTINCT( main_table[fiscal year (type)] ),
distinct( main_table[Property] )
),
"Account type",
"EBITDA",
"@Value",
var __fy = main_table[fiscal year (type)]
var __pr = main_table[Property]
var __rev =
MAXX(
filter(
__coreTable,
main_table[fiscal year (type)] = __fy
&&
main_table[Property] = _pr
&&
main_table[Account type] = "All Revenues"
),
[@Value]
)
var __cost =
MAXX(
filter(
__coreTable,
main_table[fiscal year (type)] = __fy
&&
main_table[Property] = _pr
&&
main_table[Account type] = "All Costs"
),
[@Value]
)
return
__rev - __cost
)
var __union =
union(
__coreTable,
__additionalAccountType
)
return
__union
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 |
---|---|
23 | |
10 | |
10 | |
9 | |
7 |