Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Vote for your favorite vizzies from the Power BI Dataviz World Championship submissions. Vote now!
Hi all,
Yeah, even a good subject decription was hard...
I'm running into the boundaries of my limited Power BI capabilities 😁 AKA: I need help!!
I'm trying to create a measure that gives me the possibility to compare the total amount of registered incidents in a "running" 1-year period. In a way that by selecting a random date (let's say the 12th of May 2022) the total of that running year (values ranging from the 12th of May 2021 till the 12th of May 2022) are compared with the totals of previous running years (12-05-2020 to 12-05-2021 AND 12-05-2019 to 12-05-2020, etc.).
I cannot wrap my head around it.
I have a date-table (in Dutch):
Datum = ADDCOLUMNS ( CALENDAR (DATE(2018, 1, 1), DATE(2039,12,31)),
"DatumInteger", FORMAT ([Date], "YYYYMMDD" ),
"Jaar", YEAR ([Date]),
"Kwartaal", QUARTER ([Date]),
"Maandnummer", FORMAT ([Date], "MM" ),
"JaarMaandNummer", FORMAT ([Date], "YYYY/MM" ),
"JaarMaandkort", FORMAT ([Date], "YYYY/mmm" ),
"Maandnaamkort", FORMAT ([Date], "mmm" ),
"Maandnaamlang", FORMAT ([Date], "mmmm" ))
And a table with incidents:
| Incident_date | Year | Month | Incident_ID |
| 17-3-2018 | 2018 | 3 | U61878 |
| 18-4-2018 | 2018 | 4 | U62535 |
| 23-7-2018 | 2018 | 7 | U64294 |
| 1-8-2018 | 2018 | 8 | U64476 |
| 4-8-2018 | 2018 | 8 | U64537 |
| 8-8-2018 | 2018 | 8 | U64609 |
| 17-8-2018 | 2018 | 8 | U65010 |
| 20-8-2018 | 2018 | 8 | U65013 |
| 23-8-2018 | 2018 | 8 | U65090 |
| 7-9-2018 | 2018 | 9 | U86699 |
| 13-9-2018 | 2018 | 9 | U86763 |
| 9-4-2019 | 2019 | 4 | U123774 |
| 19-4-2019 | 2019 | 4 | U123953 |
| 24-4-2019 | 2019 | 4 | U123988 |
| 25-4-2019 | 2019 | 4 | U124015 |
| 14-5-2019 | 2019 | 5 | U124301 |
| 1-7-2019 | 2019 | 7 | U124981 |
| 14-8-2019 | 2019 | 8 | U125771 |
| 10-2-2020 | 2020 | 2 | U128336 |
| 24-2-2020 | 2020 | 2 | U128572 |
| 6-3-2020 | 2020 | 3 | U128808 |
| 9-3-2020 | 2020 | 3 | U128842 |
| 29-6-2020 | 2020 | 6 | U130464 |
| 24-9-2020 | 2020 | 9 | U131509 |
| 6-10-2020 | 2020 | 10 | U131626 |
| 6-3-2021 | 2021 | 3 | U133552 |
| 16-12-2021 | 2021 | 12 | 31280 |
| 16-12-2021 | 2021 | 12 | 31637 |
| 20-12-2021 | 2021 | 12 | 33113 |
| 17-1-2022 | 2022 | 1 | 37908 |
| 24-1-2022 | 2022 | 1 | 39580 |
| 3-2-2022 | 2022 | 2 | 42963 |
| 7-2-2022 | 2022 | 2 | 43327 |
| 1-3-2022 | 2022 | 3 | 38947 |
| 4-3-2022 | 2022 | 3 | 49552 |
| 22-3-2022 | 2022 | 3 | 50820 |
| 25-3-2022 | 2022 | 3 | 53646 |
| 30-3-2022 | 2022 | 3 | 54375 |
| 5-4-2022 | 2022 | 4 | 55017 |
Any assistance would be highly appreciated!
Kind regards,
Wilco
Solved! Go to Solution.
Hi @GWTF ,
You could refer below formulas.
_YTD =
CALCULATE (
SUM ( Incidents_table[amount] ),
FILTER (
ALLSELECTED ( Incidents_table ),
Incidents_table[Incident_date]
> EDATE ( SELECTEDVALUE ( Incidents_table[Incident_date] ), -12 )
&& Incidents_table[Incident_date]
<= SELECTEDVALUE ( Incidents_table[Incident_date] )
)
)
P_YTD =
CALCULATE (
SUM ( Incidents_table[amount] ),
FILTER (
ALLSELECTED ( Incidents_table ),
Incidents_table[Incident_date]
> EDATE ( SELECTEDVALUE ( Incidents_table[Incident_date] ), -24 )
&& Incidents_table[Incident_date]
<= EDATE ( SELECTEDVALUE ( Incidents_table[Incident_date] ), -12 )
)
)
Best Regards,
Jay
Hi @GWTF ,
You could refer below formulas.
_YTD =
CALCULATE (
SUM ( Incidents_table[amount] ),
FILTER (
ALLSELECTED ( Incidents_table ),
Incidents_table[Incident_date]
> EDATE ( SELECTEDVALUE ( Incidents_table[Incident_date] ), -12 )
&& Incidents_table[Incident_date]
<= SELECTEDVALUE ( Incidents_table[Incident_date] )
)
)
P_YTD =
CALCULATE (
SUM ( Incidents_table[amount] ),
FILTER (
ALLSELECTED ( Incidents_table ),
Incidents_table[Incident_date]
> EDATE ( SELECTEDVALUE ( Incidents_table[Incident_date] ), -24 )
&& Incidents_table[Incident_date]
<= EDATE ( SELECTEDVALUE ( Incidents_table[Incident_date] ), -12 )
)
)
Best Regards,
Jay
Vote for your favorite vizzies from the Power BI World Championship submissions!
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 56 | |
| 52 | |
| 45 | |
| 17 | |
| 16 |
| User | Count |
|---|---|
| 108 | |
| 107 | |
| 39 | |
| 33 | |
| 25 |