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nikhilrai
New Member

Issues Understanding Time Intelligence Functions in Power BI

I recently read this blog on Time Intelligence Functions in Power BI that enhanced my understanding, but I still have some questions.

While using functions like TOTALYTD, SAMEPERIODLASTYEAR, and DATEADD, I’ve found that the results sometimes don’t match my expectations, particularly with incomplete months or fiscal years.

For example, my fiscal year begins in April instead of January. How can I accurately apply these functions to reflect this in Year-to-Date (YTD) calculations and year-over-year comparisons? Should I adjust my calendar table, or is there a way to modify the functions directly?

Any insights!

1 ACCEPTED SOLUTION
bhanu_gautam
Super User
Super User

@nikhilrai Create a calendar table that includes a column for the fiscal year and fiscal month. This table should have a continuous range of dates and additional columns to represent fiscal periods.

 

When using functions like TOTALYTD, you can specify the fiscal year start month. For example, to calculate the Year-to-Date (YTD) total starting from April, you can use the TOTALYTD function with the year_end_date parameter set to March 31st.

 

DAX
Calendar =
ADDCOLUMNS (
CALENDAR (DATE(2020, 1, 1), DATE(2023, 12, 31)),
"Year", YEAR([Date]),
"Month", MONTH([Date]),
"Day", DAY([Date]),
"Fiscal Year", IF(MONTH([Date]) >= 4, YEAR([Date]), YEAR([Date]) - 1),
"Fiscal Month", IF(MONTH([Date]) >= 4, MONTH([Date]) - 3, MONTH([Date]) + 9)
)

YTD_Sales =
TOTALYTD (
[Total Sales],
'Calendar'[Date],
"03/31"
)

 

For year-over-year comparisons, you can use the SAMEPERIODLASTYEAR function in conjunction with your adjusted calendar table. Ensure that your measures reference the fiscal year columns appropriately.




Did I answer your question? Mark my post as a solution! And Kudos are appreciated

Proud to be a Super User!




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4 REPLIES 4
Anonymous
Not applicable

Hi @nikhilrai ,

Thanks for reaching out to the Microsoft fabric community forum.

 

As @bhanu_gautam mentioned in his post, could you confirm whether it resolved your issue? Please feel free to reach out if you have any further questions. If the response addressed your query, please accept it as a solution and give a 'Kudos' so other members can easily find it.

 

Thank you.

Anonymous
Not applicable

Hi @nikhilrai ,

I wanted to check if you had the opportunity to review the information provided. Please feel free to contact us if you have any further questions. If the response has addressed your query, please accept it as a solution and give a 'Kudos' so other members can easily find it.


Thank you.

Anonymous
Not applicable

Hi @nikhilrai ,

 

May I ask if you have resolved this issue? If so, please mark the helpful reply and accept it as the solution. This will be helpful for other community members who have similar problems to solve it faster.

 

Thank you.

 

bhanu_gautam
Super User
Super User

@nikhilrai Create a calendar table that includes a column for the fiscal year and fiscal month. This table should have a continuous range of dates and additional columns to represent fiscal periods.

 

When using functions like TOTALYTD, you can specify the fiscal year start month. For example, to calculate the Year-to-Date (YTD) total starting from April, you can use the TOTALYTD function with the year_end_date parameter set to March 31st.

 

DAX
Calendar =
ADDCOLUMNS (
CALENDAR (DATE(2020, 1, 1), DATE(2023, 12, 31)),
"Year", YEAR([Date]),
"Month", MONTH([Date]),
"Day", DAY([Date]),
"Fiscal Year", IF(MONTH([Date]) >= 4, YEAR([Date]), YEAR([Date]) - 1),
"Fiscal Month", IF(MONTH([Date]) >= 4, MONTH([Date]) - 3, MONTH([Date]) + 9)
)

YTD_Sales =
TOTALYTD (
[Total Sales],
'Calendar'[Date],
"03/31"
)

 

For year-over-year comparisons, you can use the SAMEPERIODLASTYEAR function in conjunction with your adjusted calendar table. Ensure that your measures reference the fiscal year columns appropriately.




Did I answer your question? Mark my post as a solution! And Kudos are appreciated

Proud to be a Super User!




LinkedIn






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