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You can use datesytd and totalytd as you can give year-end date there
YTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESYTD(('Date'[Date]),"12/31"))
Last YTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESYTD(dateadd('Date'[Date],-1,Year),"12/31"))
Last YTD complete Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESYTD(ENDOFYEAR(dateadd('Date'[Date],-1,Year)),"12/31"))
Last to last YTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESYTD(dateadd('Date'[Date],-2,Year),"12/31"))
Year behind Sales = CALCULATE(SUM(Sales[Sales Amount]),dateadd('Date'[Date],-1,Year))
In case qtr are like jan-feb-mar , then you can use datesqtd.
But if they are not, create a qtr rank in your date table (on YYYYQ type column) = Year& Quarter(Date[Date])
Rank Qtr = RANKX(All(Date),Date[Qtr Year],,asc,dense)
Now use this to get prior QTR
Last QTR = CALCULATE(SUM(Sales[Sales Amount]),filter(all(Date),Date[Rank Qtr] = max(Date[Rank Qtr] )-1))
To get the best of the time intelligence function. Make sure you have a date calendar and it has been marked as the date in model view. Also, join it with the date column of your fact/s.
Refer
https://radacad.com/creating-calendar-table-in-power-bi-using-dax-functions
https://www.archerpoint.com/blog/Posts/creating-date-table-power-bi
https://www.sqlbi.com/articles/creating-a-simple-date-table-in-dax/
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Thanks. My Recent Blogs -Decoding Direct Query - Time Intelligence, Winner Coloring on MAP, HR Analytics, Power BI Working with Non-Standard TimeAnd Comparing Data Across Date Ranges
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Ideally, you should join your tables with the date of date table and date of your fact tables, then you should be able to group data on any field of your date table.
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