dax to calculated top 3 customer name by sales filtered by category and date

[Anshenterprices]

Source Table

Date	Category	customore name	Sales
4/6/2021	Equity	a	123
4/6/2021	Equity	b	345
4/6/2021	Equity	c	567
4/6/2021	Equity	d	789
4/6/2021	Equity	e	1011
4/6/2021	Equity	f	1233
4/6/2021	Equity	g	1455
4/6/2021	Equity	h	1677
4/6/2021	Equity	i	1899
4/6/2021	Equity	j	2121
4/6/2021	Equity	k	2343
4/6/2021	Equity	l	2565
4/6/2021	Commodity	d	453
4/6/2021	Commodity	e	564
4/6/2021	Commodity	f	234
4/6/2021	Commodity	g	453
4/6/2021	Commodity	h	564
4/6/2021	Commodity	i	234
4/6/2021	Commodity	a	399
4/6/2021	Commodity	b	564
4/6/2021	Commodity	c	729
5/6/2021	Equity	g	894
5/6/2021	Equity	h	1059
5/6/2021	Equity	i	1224
5/6/2021	Equity	j	342
5/6/2021	Equity	l	1554
5/6/2021	Equity	d	1719
5/6/2021	Equity	e	1884
5/6/2021	Equity	f	2049
5/6/2021	Equity	g	2214
5/6/2021	Equity	h	234
5/6/2021	Equity	i	2544
5/6/2021	Equity	k	2565

I need a top 3 customer name by sales and filtered by category and date divided by total sales  filtered by category and date

eg. date 4/6/2021 top 3  customer sales =7029 for category equity divided by totalsales of equity category and date4/6/2021  is 16128
o/p= 7029/16128
= 44%

[Fowmy]

@Anshenterprices 

Create the following measure:

top 3 customers % = 
var __top3 = 
CALCULATE(
    SUM('Customer Table'[Sales]),
    TOPN(3,VALUES('Customer Table'),CALCULATE( SUM('Customer Table'[Sales] )))
)

var __total =     SUM('Customer Table'[Sales])

return
    DIVIDE(  __top3 , __total )