Calculating Percentage of Net Revenue in a POP&L

[ratgdillon]

I have improved my table and example data. Hopefully it helps.

I am working on a POP&L that displays a dollar value by customer (row) and account number (column) and I want to include a column that calculates percent of net revenue (dollar value/net revenue). The accounts are broken out by categories like revenue, selling expense, and cost of goods sold, so a customer's net revenue represents the sum of values in that customer's revenue category. The net revenue measure needs to ignore the column it is in because it should always sum the revenue category, even when calculating percent of net revenue for an account in a category like cost of goods sold. It should also take into account the row it is in (customer) and any explicit filters applied.

ALLSELECTED() retains only explicit filters and ALLEXCEPT() retains any specified row filters, but I am having trouble combining them so I can calculate Net Revenue by customer, year filter, month filter, etc, but not by account category (because account category for net revenue should always refer to the revenue account). I tried using an inner join to combine the commands, but the result usually only applies one of the functions.

This is the function I tried using:
Net Revenue by Customer = CALCULATE(SUM([Amount]), FILTER(NATURALINNERJOIN(ALLEXCEPT('GL Entries', 'GL Entries'[Customer]), ALLSELECTED('GL Entries'), 'GL Entries'[Account Category] = "Revenue"))
I am wondering whether this DAX function is incompatible with my purpose for some reason.

I am looking for a formula for Net Revenue by Customer, where [% Net] = DIVIDE([Amount], [Net Revenue by Customer]). One way to know if it is working correctly is if the percent of net revenue in the total of the revenue column is 100%.


Any ideas? If you have any clarifying questions please ask, I will be paying attention to the comments.
Thanks

Raw Data:

Entry No.	Account	Account Category	Customer	Product	Amount
121424	51 - Sales	5 - Revenue	First	Food	$  10,000.00
246747	51 - Sales	5 - Revenue	First	Drink	$    5,000.00
958273	51 - Sales	5 - Revenue	Second	Food	$    7,500.00
992093	53 - Sales Discounts	5 - Revenue	Second	Food	$     (100.00)
235367	52 - Sales Returns	5 - Revenue	First	Food	$        (50.00)
232578	60 - Wharehouse Purchases	6 - COGS	First	Food	$  (4,000.00)
347864	60 - Wharehouse Purchases	6 - COGS	First	Drink	$  (2,500.00)
469064	61 - Certification Fees	6 - COGS	Second	Food	$     (200.00)
267475	60 - Wharehouse Purchases	6 - COGS	Second	Food	$  (3,000.00)
467323	62 - Labels & Packages	6 - COGS	First	Drink	$     (500.00)
918365	71 - Advertising	7 - Selling Expense	First	Food	$     (750.00)
135764	71 - Advertising	7 - Selling Expense	Second	Food	$     (200.00)
243568	72 - Misc. Expense	7 - Selling Expense	First	Drink	$        175.00
354678	72 - Misc. Expense	7 - Selling Expense	Second	Food	$     (200.00)
865432	75 - Travel	7 - Selling Expense	First	Drink	$     (350.00)

Final Product:

[ratgdillon · Accepted solution]

So I think I actually figured it out myself. By using the filter function of CALCULATE I was able to target [Net Revenue by Customer] to "5 - Revenue" and by using REMOVEFILTERS I was able to apply the calculation to all columns, regardless of account category or account.

Net Revenue by Customer = 
    CALCULATE([Amount], 
              'GL Entries'[Account Category] = "5 - Revenue",
              REMOVEFILTERS('GL Entries'[Account], 'GL Entries'[Account Category]))

[Greg_Deckler]

@ratgdillon - Maybe:

Net Revenue Measure = 
  VAR __Customer = MAX([Customer])
RETURN
  SUMX(FILTER(ALL('Table'),[Customer]=__Customer&&[Account Category]="5 - Revenue"),[Amount])

Similar for costs. 

[amitchandak]

@ratgdillon ,

Not very clear

try Measure like

divide(Sum(Table[Amount]),calculate(Sum(Table[Amount]), filter(all(Table[Account Category]),Table[Account Category] =max(Table[Account Category]))))
or
divide(Sum(Table[Amount]),calculate(Sum(Table[Amount]), removefilters(Table[Account Category])),filter((Table[Account Category]),Table[Account Category] =max(Table[Account Category]))))

But this works best when you have a separate table for Account Category joined with this table

like

divide(Sum(Table[Amount]),calculate(Sum(Table[Amount]), filter(all(Account),Account[Account Category] =max(Account[Account Category]))))