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Hello, I'm trying to get a rolling 12 month average. I need to first sum the month and then average the 12 months from there. For example, the average for the table below should be $121,955,757.71. Instead I keep getting $60,977,878.86 (the average of all the numbers together). I can't seem to figure it out. Thank you!
Solved! Go to Solution.
Hi @BA11501Banderso,
Please try this code:
Measurde =
VAR _s =
DATE ( SELECTEDVALUE ( 'Table'[Date].[Year] ), SELECTEDVALUE ( 'Table'[Date].[MonthNo] ) - 11, 1 )
VAR _e =
DATE ( SELECTEDVALUE ( 'Table'[Date].[Year] ), SELECTEDVALUE ( 'Table'[Date].[MonthNo] ) + 1, 1 ) - 1
RETURN
AVERAGEX (
TOPN (
12,
SUMMARIZE (
FILTER ( ALL ( 'Table' ), [Date] >= _s && [Date] <= _e ),
[Date],
"sum", SUM ( 'Table'[Amount] )
),
[Date], DESC
),
[sum]
)
Result:
Pbix in the end you can refer.
Best Regards
Community Support Team _ chenwu zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
| Account | Asset Item | Amount | Date |
| 100 | Widget1 | 44,781.48 | 2/28/2021 |
| 100 | Widget1 | 44,781.48 | 1/31/2021 |
| 100 | Widget1 | 44,781.48 | 4/30/2021 |
| 100 | Widget1 | 44,781.48 | 3/31/2021 |
| 100 | Widget1 | 44,781.48 | 6/30/2021 |
| 100 | Widget1 | 44,781.48 | 5/31/2021 |
| 100 | Widget1 | 44,781.48 | 8/31/2021 |
| 100 | Widget1 | 44,781.48 | 7/31/2021 |
| 100 | Widget1 | 44,781.48 | 10/31/2021 |
| 100 | Widget1 | 44,781.48 | 9/30/2021 |
| 100 | Widget1 | 44,781.48 | 11/30/2021 |
| 100 | Widget1 | 44,781.48 | 12/31/2021 |
| 200 | Widget2 | 121,606,727.55 | 2/28/2021 |
| 200 | Widget2 | 121,606,634.10 | 1/31/2021 |
| 200 | Widget2 | 121,600,443.75 | 4/30/2021 |
| 200 | Widget2 | 121,588,370.18 | 3/31/2021 |
| 200 | Widget2 | 121,602,452.29 | 6/30/2021 |
| 200 | Widget2 | 121,600,498.67 | 5/31/2021 |
| 200 | Widget2 | 122,132,385.94 | 8/31/2021 |
| 200 | Widget2 | 122,122,859.25 | 7/31/2021 |
| 200 | Widget2 | 122,166,275.57 | 10/31/2021 |
| 200 | Widget2 | 122,167,506.02 | 9/30/2021 |
| 200 | Widget2 | 122,357,357.21 | 11/30/2021 |
| 200 | Widget2 | 122,380,204.26 | 12/31/2021 |
Here it is. Thank you!
First calculate these two columns:
- Month = FORMAT('Table'[Date],"MMMM")
- Year = YEAR('Table'[Date])
Then, use this measure to obtain your result:
AVG =
VAR countmonth = CALCULATE(DISTINCTCOUNT('Table'[Month]), ALLEXCEPT('Table', 'Table'[Year]))
RETURN CALCULATE(SUM('Table'[ Amount ]), ALLEXCEPT('Table', 'Table'[Year])) / countmonth
BF
So I'm looking for a rolling average. This seems to just populates the total number into each month. I guess it would be better is I gave you more than 12 months of data...
| Account | Asset Item | Amount | Date |
| 100 | Widget1 | 44,781.48 | 2/28/2021 |
| 100 | Widget1 | 44,781.48 | 1/31/2021 |
| 100 | Widget1 | 44,781.48 | 4/30/2021 |
| 100 | Widget1 | 44,781.48 | 3/31/2021 |
| 100 | Widget1 | 44,781.48 | 6/30/2021 |
| 100 | Widget1 | 44,781.48 | 5/31/2021 |
| 100 | Widget1 | 44,781.48 | 8/31/2021 |
| 100 | Widget1 | 44,781.48 | 7/31/2021 |
| 100 | Widget1 | 44,781.48 | 10/31/2021 |
| 100 | Widget1 | 44,781.48 | 9/30/2021 |
| 100 | Widget1 | 44,781.48 | 11/30/2021 |
| 100 | Widget1 | 44,781.48 | 12/31/2021 |
| 200 | Widget2 | 121,606,727.55 | 2/28/2021 |
| 200 | Widget2 | 121,606,634.10 | 1/31/2021 |
| 200 | Widget2 | 121,600,443.75 | 4/30/2021 |
| 200 | Widget2 | 121,588,370.18 | 3/31/2021 |
| 200 | Widget2 | 121,602,452.29 | 6/30/2021 |
| 200 | Widget2 | 121,600,498.67 | 5/31/2021 |
| 200 | Widget2 | 122,132,385.94 | 8/31/2021 |
| 200 | Widget2 | 122,122,859.25 | 7/31/2021 |
| 200 | Widget2 | 122,166,275.57 | 10/31/2021 |
| 200 | Widget2 | 122,167,506.02 | 9/30/2021 |
| 200 | Widget2 | 122,357,357.21 | 11/30/2021 |
| 200 | Widget2 | 122,380,204.26 | 12/31/2021 |
| 100 | Widget1 | 44,781.48 | 2/28/2022 |
| 100 | Widget1 | 44,781.48 | 1/31/2022 |
| 100 | Widget1 | 44,781.48 | 4/30/2022 |
| 100 | Widget1 | 44,781.48 | 3/31/2022 |
| 100 | Widget1 | 44,781.48 | 6/30/2022 |
| 100 | Widget1 | 44,781.48 | 5/31/2022 |
| 100 | Widget1 | 44,781.48 | 8/31/2022 |
| 100 | Widget1 | 44,781.48 | 7/31/2022 |
| 100 | Widget1 | 44,781.48 | 10/31/2022 |
| 100 | Widget1 | 44,781.48 | 9/30/2022 |
| 100 | Widget1 | 44,781.48 | 11/30/2022 |
| 100 | Widget1 | 44,781.48 | 12/31/2022 |
| 200 | Widget2 | 121,606,727.55 | 2/28/2022 |
| 200 | Widget2 | 121,606,634.10 | 1/31/2022 |
| 200 | Widget2 | 121,600,443.75 | 4/30/2022 |
| 200 | Widget2 | 121,588,370.18 | 3/31/2022 |
| 200 | Widget2 | 121,602,452.29 | 6/30/2022 |
| 200 | Widget2 | 121,600,498.67 | 5/31/2022 |
| 200 | Widget2 | 122,132,385.94 | 8/31/2022 |
| 200 | Widget2 | 122,122,859.25 | 7/31/2022 |
| 200 | Widget2 | 122,166,275.57 | 10/31/2022 |
| 200 | Widget2 | 122,167,506.02 | 9/30/2022 |
| 200 | Widget2 | 122,357,357.21 | 11/30/2022 |
| 200 | Widget2 | 122,380,204.26 | 12/31/2022 |
@BA11501Banderso Sorry, a mistake in the measure, set Month with Year in the return, like this:
AVG =
VAR countmonth = CALCULATE(DISTINCTCOUNT('Table'[Month]), ALLEXCEPT('Table', 'Table'[Year]))
RETURN CALCULATE(SUM('Table'[ Amount ]), ALLEXCEPT('Table', 'Table'[Month], 'Table'[Year])) / countmonth
BF
That doesn't appear to be giving me what I'm looking for. That appears to give me the total for the month divided by 12.
I'm looking to sum the months individually (multiple inputs into each month) and then take an average of the total of the prior 12 months.
Yup, I'd like it to look something like this...
| Date | Actual Monthly Amount | Last Twelve Months |
| 1/1/2021 | 121,651,415.58 | 121,651,415.58 |
| 2/1/2021 | 121,651,509.03 | 121,651,462.31 |
| 3/1/2021 | 121,633,151.66 | 121,645,358.76 |
| 4/1/2021 | 121,645,225.23 | 121,645,325.38 |
| 5/1/2021 | 121,645,280.15 | 121,645,316.33 |
| 6/1/2021 | 121,647,233.77 | 121,645,635.90 |
| 7/1/2021 | 122,167,640.73 | 121,720,208.02 |
| 8/1/2021 | 122,177,167.42 | 121,777,327.95 |
| 9/1/2021 | 122,212,287.50 | 121,825,656.79 |
| 10/1/2021 | 122,211,057.05 | 121,864,196.81 |
| 11/1/2021 | 122,402,138.69 | 121,913,100.62 |
| 12/1/2021 | 122,424,985.74 | 121,955,757.71 |
| 1/1/2022 | 121,609,134.10 | 121,952,234.26 |
| 2/1/2022 | 121,651,509.03 | 121,952,234.26 |
| 3/1/2022 | 121,592,170.18 | 121,948,819.13 |
| 4/1/2022 | 121,645,225.23 | 121,948,819.13 |
| 5/1/2022 | 121,645,498.67 | 121,948,837.34 |
| 6/1/2022 | 121,445,447.48 | 121,932,021.82 |
| 7/1/2022 | 122,167,640.73 | 121,932,021.82 |
| 8/1/2022 | 122,184,385.94 | 121,932,623.36 |
| 9/1/2022 | 122,178,506.02 | 121,929,808.24 |
| 10/1/2022 | 118,045,381.48 | 121,582,668.61 |
| 11/1/2022 | 122,402,138.69 | 121,582,668.61 |
| 12/1/2022 | 122,424,985.74 | 121,582,668.61 |
24 months of data
| Asset Item | Amount | Date |
| Widget1 | 44,781.48 | 2/28/2021 |
| Widget1 | 44,781.48 | 1/31/2021 |
| Widget1 | 44,781.48 | 4/30/2021 |
| Widget1 | 44,781.48 | 3/31/2021 |
| Widget1 | 44,781.48 | 6/30/2021 |
| Widget1 | 44,781.48 | 5/31/2021 |
| Widget1 | 44,781.48 | 8/31/2021 |
| Widget1 | 44,781.48 | 7/31/2021 |
| Widget1 | 44,781.48 | 10/31/2021 |
| Widget1 | 44,781.48 | 9/30/2021 |
| Widget1 | 44,781.48 | 11/30/2021 |
| Widget1 | 44,781.48 | 12/31/2021 |
| Widget2 | 121,606,727.55 | 2/28/2021 |
| Widget2 | 121,606,634.10 | 1/31/2021 |
| Widget2 | 121,600,443.75 | 4/30/2021 |
| Widget2 | 121,588,370.18 | 3/31/2021 |
| Widget2 | 121,602,452.29 | 6/30/2021 |
| Widget2 | 121,600,498.67 | 5/31/2021 |
| Widget2 | 122,132,385.94 | 8/31/2021 |
| Widget2 | 122,122,859.25 | 7/31/2021 |
| Widget2 | 122,166,275.57 | 10/31/2021 |
| Widget2 | 122,167,506.02 | 9/30/2021 |
| Widget2 | 122,357,357.21 | 11/30/2021 |
| Widget2 | 122,380,204.26 | 12/31/2021 |
| Widget1 | 44,781.48 | 2/28/2022 |
| Widget1 | 2,500.00 | 1/31/2022 |
| Widget1 | 44,781.48 | 4/30/2022 |
| Widget1 | 3,800.00 | 3/31/2022 |
| Widget1 | 44,781.48 | 6/30/2022 |
| Widget1 | 45,000.00 | 5/31/2022 |
| Widget1 | 52,000.00 | 8/31/2022 |
| Widget1 | 44,781.48 | 7/31/2022 |
| Widget1 | 44,781.48 | 10/31/2022 |
| Widget1 | 11,000.00 | 9/30/2022 |
| Widget1 | 44,781.48 | 11/30/2022 |
| Widget1 | 44,781.48 | 12/31/2022 |
| Widget2 | 121,606,727.55 | 2/28/2022 |
| Widget2 | 121,606,634.10 | 1/31/2022 |
| Widget2 | 121,600,443.75 | 4/30/2022 |
| Widget2 | 121,588,370.18 | 3/31/2022 |
| Widget2 | 121,400,666.00 | 6/30/2022 |
| Widget2 | 121,600,498.67 | 5/31/2022 |
| Widget2 | 122,132,385.94 | 8/31/2022 |
| Widget2 | 122,122,859.25 | 7/31/2022 |
| Widget2 | 118,000,600.00 | 10/31/2022 |
| Widget2 | 122,167,506.02 | 9/30/2022 |
| Widget2 | 122,357,357.21 | 11/30/2022 |
| Widget2 | 122,380,204.26 | 12/31/2022 |
Thank you!
Hi @BA11501Banderso,
Please try this code:
Measurde =
VAR _s =
DATE ( SELECTEDVALUE ( 'Table'[Date].[Year] ), SELECTEDVALUE ( 'Table'[Date].[MonthNo] ) - 11, 1 )
VAR _e =
DATE ( SELECTEDVALUE ( 'Table'[Date].[Year] ), SELECTEDVALUE ( 'Table'[Date].[MonthNo] ) + 1, 1 ) - 1
RETURN
AVERAGEX (
TOPN (
12,
SUMMARIZE (
FILTER ( ALL ( 'Table' ), [Date] >= _s && [Date] <= _e ),
[Date],
"sum", SUM ( 'Table'[Amount] )
),
[Date], DESC
),
[sum]
)
Result:
Pbix in the end you can refer.
Best Regards
Community Support Team _ chenwu zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
This is AWESOME! Thank you!!
With this measure i achieve the correct result for 2021, but i didn't understand what it have to do with the new year (2022), can you explain?
In this row:
| 1/1/2022 | 121,609,134.10 | 121,952,234.26 |
How to you calculate the expected value?
The measure:
Cumulative_Actual =
VAR countmonths = CALCULATE (
DISTINCTCOUNT( 'Table'[Month]),
filter( ALL ( 'Table'[Date]),
'Table'[Date] <= MAX( 'Table'[Date] ))
)
RETURN CALCULATE (
SUM ('Table'[ Amount ] ),
filter( ALL ( 'Table'[Date]),
'Table'[Date] <= MAX( 'Table'[Date] ))
) / countmonths
BF
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