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As we know below is the function for XIRR in power BI:
= XIRR(<tablename>, [Cashflow], [Date])
Consider the below table
Name of asset | Col 1 (Invested amount) | Col 2 (Withdrawal amount) | Col 3 (Invested date) | Col 4 (Withdrawal date) |
Asset 1 | -100000 | 123000 | 1 Jan 2020 | 31 Dec 2022 |
How do I use the XIRR formula in Power BI for the above table given that we have 2 columns for Cashflow and 2 columns for date in the same row. Please note - I don’t want to unpivot the columns and align the amount and dates columns vertically.
So, the question is - how to use multiple columns for cashflow and multiple columns for dates in the Power BI XIRR formula, something equivalent to what can be easily done in excel e.g. =XIRR (Col1:Col2, Col3:Col4)
Solved! Go to Solution.
Hi @ashwinkolte ,
As far as I know, the calculation in Power BI is based on columns. So you need to transform amounts and dates into same columns in Power Query Editor.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WciwuTi1RMFTSUdI1NAABIMvQyBjKUPBKzFMwMjACcYwNFVxSk0E8I6XYWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Name of asset" = _t, #" Col 1 (Invested amount)" = _t, #"Col 2 (Withdrawal amount)" = _t, #"Col 3 (Invested date)" = _t, #"Col 4 (Withdrawal date)" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Name of asset", type text}, {" Col 1 (Invested amount)", Int64.Type}, {"Col 2 (Withdrawal amount)", Int64.Type}, {"Col 3 (Invested date)", type date}, {"Col 4 (Withdrawal date)", type date}}),
#"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1, Int64.Type),
#"Renamed Columns" = Table.RenameColumns(#"Added Index",{{" Col 1 (Invested amount)", "Invested amount"}, {"Col 2 (Withdrawal amount)", "Withdrawal amount"}, {"Col 3 (Invested date)", "Invested date"}, {"Col 4 (Withdrawal date)", "Withdrawal date"}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Renamed Columns", {"Name of asset", "Invested date", "Withdrawal date", "Index"}, "Attribute", "Value"),
#"Unpivoted Columns1" = Table.UnpivotOtherColumns(#"Unpivoted Columns", {"Name of asset", "Index", "Attribute", "Value"}, "Attribute.1", "Value.1"),
#"Replaced Value" = Table.ReplaceValue(#"Unpivoted Columns1"," amount","",Replacer.ReplaceText,{"Attribute"}),
#"Replaced Value1" = Table.ReplaceValue(#"Replaced Value"," date","",Replacer.ReplaceText,{"Attribute.1"}),
#"Filtered Rows" = Table.SelectRows(#"Replaced Value1", each ([Attribute] = [Attribute.1])),
#"Renamed Columns1" = Table.RenameColumns(#"Filtered Rows",{{"Value", "Amount"}, {"Value.1", "Date"}}),
#"Removed Columns" = Table.RemoveColumns(#"Renamed Columns1",{"Attribute.1"})
in
#"Removed Columns"
New Table:
Measure:
Measure = XIRR('Table','Table'[Amount],'Table'[Date])
Result is as below.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Can we do this in DAX ?
Hi,
Yes, we can but we will have to unpivot first.
Hi @ashwinkolte ,
As far as I know, the calculation in Power BI is based on columns. So you need to transform amounts and dates into same columns in Power Query Editor.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WciwuTi1RMFTSUdI1NAABIMvQyBjKUPBKzFMwMjACcYwNFVxSk0E8I6XYWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Name of asset" = _t, #" Col 1 (Invested amount)" = _t, #"Col 2 (Withdrawal amount)" = _t, #"Col 3 (Invested date)" = _t, #"Col 4 (Withdrawal date)" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Name of asset", type text}, {" Col 1 (Invested amount)", Int64.Type}, {"Col 2 (Withdrawal amount)", Int64.Type}, {"Col 3 (Invested date)", type date}, {"Col 4 (Withdrawal date)", type date}}),
#"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1, Int64.Type),
#"Renamed Columns" = Table.RenameColumns(#"Added Index",{{" Col 1 (Invested amount)", "Invested amount"}, {"Col 2 (Withdrawal amount)", "Withdrawal amount"}, {"Col 3 (Invested date)", "Invested date"}, {"Col 4 (Withdrawal date)", "Withdrawal date"}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Renamed Columns", {"Name of asset", "Invested date", "Withdrawal date", "Index"}, "Attribute", "Value"),
#"Unpivoted Columns1" = Table.UnpivotOtherColumns(#"Unpivoted Columns", {"Name of asset", "Index", "Attribute", "Value"}, "Attribute.1", "Value.1"),
#"Replaced Value" = Table.ReplaceValue(#"Unpivoted Columns1"," amount","",Replacer.ReplaceText,{"Attribute"}),
#"Replaced Value1" = Table.ReplaceValue(#"Replaced Value"," date","",Replacer.ReplaceText,{"Attribute.1"}),
#"Filtered Rows" = Table.SelectRows(#"Replaced Value1", each ([Attribute] = [Attribute.1])),
#"Renamed Columns1" = Table.RenameColumns(#"Filtered Rows",{{"Value", "Amount"}, {"Value.1", "Date"}}),
#"Removed Columns" = Table.RemoveColumns(#"Renamed Columns1",{"Attribute.1"})
in
#"Removed Columns"
New Table:
Measure:
Measure = XIRR('Table','Table'[Amount],'Table'[Date])
Result is as below.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
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