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harishreddys Frequent Visitor

Finance Forecast using DAX

What is the optimal way to calculate 5 year forecast using DAX in Power BI.

Consider the following example:

Company X has two tables, namely Year table (has Year data from 2015 to 2022) and Measure table (has year and revenue data form 2015 to 2017). Year table is linked to Measure table using tabular relationships. Check the picture below for more details: Convectional way of calculating revenue forecast:

• Step 1: Calculate CAGR (compound annual growth rate) using formula (End Value/Start Value)^(1/Periods) -1. In the example above it comes up to 9.5%
• Step 2: Calculate Forecast.

Revenue_2018 = Revenue_2017 *(1+CAGR)

Revenue_2019 = Revenue_2017 *(1+CAGR)^2

Revenue_2020 = Revenue_2017 *(1+CAGR)^3

Revenue_2021 = Revenue_2017 *(1+CAGR)^4

Revenue_2022 = Revenue_2017 *(1+CAGR)^5

Question: What is the best/optimal way to accomplish this calculation in Power BI using DAX.

1 ACCEPTED SOLUTION

Accepted Solutions Super User

Re: Finance Forecast using DAX

See the attached file.

Hope it helps

Here are the steps

Step#1 Determine the First and Last Years with Actual data using these MEASURES

FirstYear =
FIRSTNONBLANK (
ALL ( YearTable[Year] ),
CALCULATE ( SUM ( MeasureTable[Revenue] ) )
)
LastYear =
LASTNONBLANK (
ALL ( YearTable[Year] ),
CALCULATE ( SUM ( MeasureTable[Revenue] ) )
)

Step#2 Determine the CAGR

CAGR =
VAR Lastyear = [LastYear]
VAR Firstyear = [FirstYear]
VAR No_of_Years = [LastYear] - [FirstYear]
RETURN
POWER (
DIVIDE (
CALCULATE ( SUM ( MeasureTable[Revenue] ), YearTable[Year] = Lastyear ),
CALCULATE ( SUM ( MeasureTable[Revenue] ), YearTable[Year] = Firstyear )
),
1 / No_of_Years
)
- 1

Step#3: Get the Forecast

Forecast =
VAR Lastyear = [LastYear]
VAR No_of_Years =
SELECTEDVALUE ( YearTable[Year] ) - [LastYear]
RETURN
IF (
SELECTEDVALUE ( YearTable[Year] ) > Lastyear,
CALCULATE ( SUM ( MeasureTable[Revenue] ), YearTable[Year] = Lastyear )
* POWER ( ( 1 + [CAGR] ), No_of_Years )
)

4 REPLIES 4 Super User

Re: Finance Forecast using DAX

See the attached file.

Hope it helps

Here are the steps

Step#1 Determine the First and Last Years with Actual data using these MEASURES

FirstYear =
FIRSTNONBLANK (
ALL ( YearTable[Year] ),
CALCULATE ( SUM ( MeasureTable[Revenue] ) )
)
LastYear =
LASTNONBLANK (
ALL ( YearTable[Year] ),
CALCULATE ( SUM ( MeasureTable[Revenue] ) )
)

Step#2 Determine the CAGR

CAGR =
VAR Lastyear = [LastYear]
VAR Firstyear = [FirstYear]
VAR No_of_Years = [LastYear] - [FirstYear]
RETURN
POWER (
DIVIDE (
CALCULATE ( SUM ( MeasureTable[Revenue] ), YearTable[Year] = Lastyear ),
CALCULATE ( SUM ( MeasureTable[Revenue] ), YearTable[Year] = Firstyear )
),
1 / No_of_Years
)
- 1

Step#3: Get the Forecast

Forecast =
VAR Lastyear = [LastYear]
VAR No_of_Years =
SELECTEDVALUE ( YearTable[Year] ) - [LastYear]
RETURN
IF (
SELECTEDVALUE ( YearTable[Year] ) > Lastyear,
CALCULATE ( SUM ( MeasureTable[Revenue] ), YearTable[Year] = Lastyear )
* POWER ( ( 1 + [CAGR] ), No_of_Years )
) Super User

Re: Finance Forecast using DAX

@harishreddys harishreddys Frequent Visitor

Re: Finance Forecast using DAX

Thanks a lot @Zubair_Muhammad! This helps a ton!

aaronnayan Frequent Visitor

Re: Finance Forecast using DAX

This solution is brillant!

Is there a way, instead of having 2015-2017 like in the example, to have 2015 - 2016 data?

My Data set goes from 2016 - 2019 however 2019 is not finished so i would only want the last year to be 2018 as its finished..

"Might be to do with the Last year calc"

Thanks,
Aaron

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