Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now

Reply
sjehanzeb
Resolver I
Resolver I

Show value from previous row of table

I have reviewed solutions from previous related post - but they didn't work for me.

 

Expected Outcome

 

Table

Financial Year      Amount       Last Year Amount   Difference

2018-19               1000            900                          100

2017-18                900             700                          200

2016-17                700             400                          300

 

the report will be slice by a category named item type. it worked without slicer but I definitely need slicer. 

 

 

I have removed financial year relationship in the hope that this would work. calculated financial year through columns in main data report i..e itemized  report

 

below are some of the formulas for columns added for this purpose. Please note that i want to report data by financial year i.e. Jul-Jun

 
Financial StartDate = DATEADD('Itemized Report'[Date].[Date], -'Itemized Report'[Financial Period]+1,MONTH)-'Itemized Report'[Date].[Day]+1
iIndex = RIGHT('Itemized Report'[Financial StartDate].[Year],2)               // for creating an index
Financial Year = 'Itemized Report'[Financial StartDate].[Year] & "-" & RIGHT('Itemized Report'[Financial StartDate].[Year]+1,2)
 
 
Measure: (not working)
Last Year Amount =
var a = 'Itemized Report'[iIndex]-1 return
CALCULATE(SUM('Itemized Report'[Amount]), FILTER('Itemized Report', 'Itemized Report'[iIndex]=a))
 
 

 

 

Relationships

image.png

 

sample transactions

image.png

 

 

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @sjehanzeb,

You can try to use the following measure if it meets for your requirement:

Measure =
VAR currDate =
    MAX ( Table[Date] )
VAR currYear =
    SELECTEDVALUE ( Table[Financial Year] )
VAR _prev =
    CALCULATE (
        MAX ( Table[Financial Year] ),
        FILTER (
            ALLSELECTED ( Table ),
            [Date] < currDate
                && [Financial Year] <> currYear
        )
    )
RETURN
    CALCULATE (
        SUM ( Table[Amount] ),
        FILTER ( ALLSELECTED ( Table ), [Financial Year] = _prev )
    )

If above not help, please share some dummy data to test.

How to Get Your Question Answered Quickly 

Regards,

Xiaoxin Sheng

View solution in original post

3 REPLIES 3
Anonymous
Not applicable

Hi @sjehanzeb,

You can try to use the following measure if it meets for your requirement:

Measure =
VAR currDate =
    MAX ( Table[Date] )
VAR currYear =
    SELECTEDVALUE ( Table[Financial Year] )
VAR _prev =
    CALCULATE (
        MAX ( Table[Financial Year] ),
        FILTER (
            ALLSELECTED ( Table ),
            [Date] < currDate
                && [Financial Year] <> currYear
        )
    )
RETURN
    CALCULATE (
        SUM ( Table[Amount] ),
        FILTER ( ALLSELECTED ( Table ), [Financial Year] = _prev )
    )

If above not help, please share some dummy data to test.

How to Get Your Question Answered Quickly 

Regards,

Xiaoxin Sheng

littlemojopuppy
Community Champion
Community Champion

You are overcomplicating this.

Create a date table with your calendar year/month/date and fiscal year/month/date fields.  Use dates in the other tables and create relationships between them.

 

THEN...calculating last year's amount is as easy as CALCULATE([Total Value], PREVIOUSYEAR(Date[Date]))

can you show some example. i did try that earlier, I could not get it to work. 

Helpful resources

Announcements
Join our Fabric User Panel

Join our Fabric User Panel

Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.

February Power BI Update Carousel

Power BI Monthly Update - February 2026

Check out the February 2026 Power BI update to learn about new features.

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.