This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreDid you hear? There's a new SQL AI Developer certification (DP-800). Start preparing now and be one of the first to get certified. Register now
Hi there,
I have given sample table for reference, using SEC_ISSUER as identifier I need to calculate sum of total value using VALUE column
for example, DAX query should sum up for all sec_name values where corrosponding sec_issuer identier found.
TOTAL_VALUE is expected result.
| SEC_NAME | SEC_ISSUER | VALUE | TOTAL_VALUE |
| ABC | AB | 1 | 10 |
| ABCD | AB | 2 | 10 |
| ABCDE | AB | 3 | 10 |
| ABCEDF | AB | 4 | 10 |
| OPQ | OP | 5 | 18 |
| OPQR | OP | 6 | 18 |
| OPQRS | OP | 7 | 18 |
Solved! Go to Solution.
Hi @Bansi008
You can use the measure :
The pbix is attached
If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly.
Thanks @Ritaf1983 , this worked. I need one more help regarding the same query. Can we amend this syntax where I other issuer total value stay as it is but only purchase value will be in reverse sign. Example if sum of purchase value based on issuer is -100 then it should populate as 100 or vise versa. Rest everything should stay as it is.
| DATE | SEC_NAME | SEC_ISSUER | VALUE | TYPE | TOTAL_VALUE |
| 6/30/2023 | ABC | AB | -1 | Purchase | 4 |
| 7/31/2023 | ABCD | AB | 2 | Expense | 2 |
| 8/31/2023 | ABCDE | AB | -3 | Purchase | 4 |
| 9/30/2023 | ABCEDF | AB | 4 | Sale | 4 |
| 10/31/2023 | OPQ | OP | 5 | Income | 5 |
| 11/30/2023 | OPQR | OP | 6 | Sale | 6 |
| 12/31/2023 | OPQRS | OP | -7 | Purchase | 7 |
Hi @Bansi008
If I understood you correctly, the measure for fixed value will be :
And the previous measure will change to :
The updated PBIX is attached
If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly.
Hi @Bansi008
You can use the measure :
The pbix is attached
If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly.
Check out the April 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 |
|---|---|
| 34 | |
| 31 | |
| 30 | |
| 21 | |
| 16 |
| User | Count |
|---|---|
| 63 | |
| 53 | |
| 31 | |
| 23 | |
| 23 |