Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowData Days is here! Join us now for 60+ days of learning, challenges, and connection. Learn more
Hi,
I'm new to DAX and I need help with coming up with a DAX computation
The scenario here is that at the start of each new year from [Period No.] = 8 onwards, I need to compute a degredation.
The first year (ie. [Period No. = 8]), there will be no degredation therefore 100% but in subsequent years, there will be a degredation of 0.7% p.a. and this degradation will only happen at the start of the year.
Please help on what DAX expression should be written to achieve the results above.
Thanks
| Year | Year. No | Period No. | Start date | End date | Degredation |
| 2018 | 1 | 1 | 1-Apr-18 | 30-Jun-18 | |
| 2018 | 1 | 2 | 1-Jul-18 | 30-Sep-18 | |
| 2018 | 1 | 3 | 1-Oct-18 | 31-Dec-18 | |
| 2019 | 2 | 4 | 1-Jan-19 | 31-Mar-19 | |
| 2019 | 2 | 5 | 1-Apr-19 | 30-Jun-19 | |
| 2019 | 2 | 6 | 1-Jul-19 | 30-Sep-19 | |
| 2019 | 2 | 7 | 1-Oct-19 | 31-Dec-19 | |
| 2020 | 3 | 8 | 1-Jan-20 | 31-Mar-20 | 100.0% |
| 2020 | 3 | 9 | 1-Apr-20 | 30-Jun-20 | 100.0% |
| 2020 | 3 | 10 | 1-Jul-20 | 30-Sep-20 | 100.0% |
| 2020 | 3 | 11 | 1-Oct-20 | 31-Dec-20 | 100.0% |
| 2021 | 4 | 12 | 1-Jan-21 | 31-Mar-21 | 99.3% |
| 2021 | 4 | 13 | 1-Apr-21 | 30-Jun-21 | 99.3% |
| 2021 | 4 | 14 | 1-Jul-21 | 30-Sep-21 | 99.3% |
| 2021 | 4 | 15 | 1-Oct-21 | 31-Dec-21 | 99.3% |
| 2022 | 5 | 16 | 1-Jan-22 | 31-Mar-22 | 98.6% |
| 2022 | 5 | 17 | 1-Apr-22 | 30-Jun-22 | 98.6% |
| 2022 | 5 | 18 | 1-Jul-22 | 30-Sep-22 | 98.6% |
| 2022 | 5 | 19 | 1-Oct-22 | 31-Dec-22 | 98.6% |
| 2023 | 6 | 20 | 1-Jan-23 | 31-Mar-23 | 97.9% |
| 2023 | 6 | 21 | 1-Apr-23 | 30-Jun-23 | 97.9% |
| 2023 | 6 | 22 | 1-Jul-23 | 30-Sep-23 | 97.9% |
| 2023 | 6 | 23 | 1-Oct-23 | 31-Dec-23 | 97.9% |
| 2024 | 7 | 24 | 1-Jan-24 | 31-Mar-24 | 97.2% |
Solved! Go to Solution.
@Anonymous
You may use DAX below to add a calculated column.
Column =
VAR p = 'Table'[Period No.] - 8
RETURN
IF ( p >= 0, 1 - QUOTIENT ( p, 4 ) * 0.7 / 100 )
@Anonymous
You may use DAX below to add a calculated column.
Column =
VAR p = 'Table'[Period No.] - 8
RETURN
IF ( p >= 0, 1 - QUOTIENT ( p, 4 ) * 0.7 / 100 )
Probably something like:
Degradation =
VAR __period = [Period]
VAR __degradation =
IF([Period] < 8,
BLANK(),
INT( (__period - 😎 / 4) * .7
)
RETURN 100 - __degradation
Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.
Check out the May 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 23 | |
| 23 | |
| 21 | |
| 17 | |
| 13 |
| User | Count |
|---|---|
| 58 | |
| 51 | |
| 40 | |
| 30 | |
| 24 |