Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowJuly 28 - August 9 | Final Round of the Power BI Dataviz World Championships. This is your chance. Learn more
Dear Community,
I would like to compare sales results in the same period of two consecutive years by using the SAMEPERIODLASTYEAR() function. When I do that, the presented result is not what I expected.
Instead of comparing sales results in the same period (e.g. January-June 2021. and 2020.), I'm getting the sales result for January-June 2021. and comparing it with the sales results of the complete 2020. (e.g. January-December 2020).
I'm using the function in format: IF(ISBLANK([Value]),BLANK(),CALCULATE([Value],SAMEPERIODLASTYEAR(Calendar[Date])))
SQL server is the source of data and I'm using the data by importing them to the PBI desktop. Also, I'm using the Calendar table in my model.
I appreciate any help in advance!
Vladimir
Solved! Go to Solution.
Hi @Vladimir_P ,
You might try this formula:
PY amount =
VAR _year =
MAX ( Date[Year] )
VAR _year_month =
SELECTCOLUMNS (
FILTER (
SUMMARIZE ( Fact, Fact[Month], Fact[Year] ),
Fact[Year] = _year
),
"YM", Fact[Month]
)
RETURN
CALCULATE (
If it doesn't work could you please share screenshot of your model and DAX that you used?
This formula is based on 1 Fact table and 1 date table.
Cheers,
Nemanja Andic
Hi @Vladimir_P ,
You might try this formula:
PY amount =
VAR _year =
MAX ( Date[Year] )
VAR _year_month =
SELECTCOLUMNS (
FILTER (
SUMMARIZE ( Fact, Fact[Month], Fact[Year] ),
Fact[Year] = _year
),
"YM", Fact[Month]
)
RETURN
CALCULATE (
If it doesn't work could you please share screenshot of your model and DAX that you used?
This formula is based on 1 Fact table and 1 date table.
Cheers,
Nemanja Andic
Dear @nandic ,
Thank you very much for the suggested solution. I'll try it in my model and see if it works.
Cheers!
Vladimir
If you love stickers, then you will definitely want to check out our community sticker challenge, Barcelona edition!
Check out the July 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 28 | |
| 28 | |
| 19 | |
| 19 | |
| 19 |
| User | Count |
|---|---|
| 36 | |
| 27 | |
| 18 | |
| 17 | |
| 17 |