Advance your Data & AI career with 50 days of live learning, dataviz contests, hands-on challenges, study groups & certifications and more!
Get registeredJoin 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.
Hello,
In the below scenario, I have two tables. I am trying to build a measure that returns the value from Table2 associated with the maximum date from Table1 where column Time = "Past".
In this example, I would like my measure to return a value of "700".
I have tried a few different calculations but am struggling to filter one table's date range based on another. Would connecting the tables with an inactive relationship and using RELATED work?
Any help greatly appreciated!
| Table1 | |
| Date | Time |
| Jan-24 | Past |
| Feb-24 | Past |
| Mar-24 | Past |
| Apr-24 | Past |
| May-24 | Past |
| Jul-24 | Past |
| Aug-24 | Past |
| Sep-24 | Future |
| Oct-24 | Future |
| Nov-24 | Future |
| Dec-24 | Future |
| Table 2 | |
| Date | Value |
| Jan-24 | 100 |
| Feb-24 | 200 |
| Mar-24 | 300 |
| Apr-24 | 400 |
| May-24 | 500 |
| Jul-24 | 600 |
| Aug-24 | 700 |
| Sep-24 | 800 |
| Oct-24 | 900 |
| Nov-24 | 1000 |
| Dec-24 | 1100 |
Solved! Go to Solution.
HI, @PBI12345
If you have relationship b/w both tables on Date Column then try below measure.
Measure =
var Max_date = calculate(max(table1[Date]),table1[time]="Past")
return
calculate(sum(table2[value]),Table2[date]=Max_date)
HI, @PBI12345
If you have relationship b/w both tables on Date Column then try below measure.
Measure =
var Max_date = calculate(max(table1[Date]),table1[time]="Past")
return
calculate(sum(table2[value]),Table2[date]=Max_date)
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!
Check out the October 2025 Power BI update to learn about new features.
| User | Count |
|---|---|
| 8 | |
| 4 | |
| 3 | |
| 3 | |
| 3 |
| User | Count |
|---|---|
| 13 | |
| 9 | |
| 8 | |
| 8 | |
| 7 |