This is best Fabric, Power BI, SQL and AI community event. How do we know? The last event sold out! Save €200 with code FABCMTY200.
Register nowA new Data Days event is coming soon! This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. Don't miss out.
I am trying to find a sum by filtering by earliest date on each row. I have multiple records with the same ID number. Amount lost changes over time and my data keeps record of these changes with.
Here is an example of how my data is set up:
| ID | Amount lost | As of Date |
| 1 | 100 | 1/1/2010 |
| 2 | 200 | 1/1/2010 |
| 3 | 300 | 1/1/2010 |
| 4 | 400 | 1/1/2010 |
| 1 | 150 | 1/1/2011 |
| 2 | 250 | 1/1/2011 |
| 3 | 350 | 1/1/2011 |
| 4 | 200 | 1/1/2011 |
| 5 | 500 | 1/1/2011 |
| 6 | 600 | 1/1/2011 |
| 1 | 150 | 1/1/2012 |
| 2 | 300 | 1/1/2012 |
| 3 | 400 | 1/1/2012 |
| 4 | 250 | 1/1/2012 |
| 5 | 450 | 1/1/2012 |
| 6 | 800 | 1/1/2012 |
| 7 | 700 | 1/1/2012 |
What I am trying to execute is taking the sum of the Amount Lost by Earliest As of Date of each ID. For this data it would be summing the Bolded records. My closest attempt is this:
Earliest Lost = CALCULATE(sum(LD[Amount Lost]), FILTER(LD, LD[As of Date]=MINX(values(LD[As of Date]), LD[As of Date]))).
This works for each individual record, pulling the earliest Amount Lost, but the overall sum only adds the 1/1/2010 as of dates and excludes all others.
Thanks in advance for the help
Solved! Go to Solution.
Hope this works and helps! ![]()
Measure =
CALCULATE (
SUM ( LD[Amount lost] ),
FILTER (
LD,
LD[As of Date] = CALCULATE ( MIN ( LD[As of Date] ), ALLEXCEPT ( LD, LD[ID] ) )
)
)Good Luck! ![]()
Hope this works and helps! ![]()
Measure =
CALCULATE (
SUM ( LD[Amount lost] ),
FILTER (
LD,
LD[As of Date] = CALCULATE ( MIN ( LD[As of Date] ), ALLEXCEPT ( LD, LD[ID] ) )
)
)Good Luck! ![]()
You sir are a genius.
Thanks
Check out the May 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 27 | |
| 26 | |
| 22 | |
| 19 | |
| 17 |
| User | Count |
|---|---|
| 45 | |
| 42 | |
| 41 | |
| 21 | |
| 18 |