Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Year | Month | Sales | SalesPytd |
2019 | Oct | 200 | 200 |
2019 | Nov | 100 | 300 |
2019 | Dec | 300 | 600 |
2020 | Jan | 100 | 700 |
2020 | Feb | 200 | 900 |
I want to create something like this. If today is 22 may 2020 then my sales PYTD should be from 1 Jan 2019 to 22 May 2020
So couple ways to do that @Ethanhunt123, if you go down the time intelligence route, you would create a separate Date table and use probably use something like TOTALYTD to calculate your YTD measure. Maybe something like CALCULATE(SUM([Column]),TOTALYTD('Dates'[Date]) .
https://docs.microsoft.com/en-us/dax/totalytd-function-dax
Then you would use something along the lines of CALCULATE([ytd measure],SAMPERIODLASTYEAR('Dates'[Date])) for example.
The other way, See if my Time Intelligence the Hard Way provides a different way of accomplishing what you are going for.
https://community.powerbi.com/t5/Quick-Measures-Gallery/Time-Intelligence-quot-The-Hard-Way-quot-TIT...
Check out the July 2025 Power BI update to learn about new features.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
User | Count |
---|---|
26 | |
10 | |
10 | |
9 | |
6 |