DATEADD DAX Function (Time Intelligence)  Context Transition

Moves the given set of dates by a specified interval.

Syntax

DATEADD ( <Dates>, <NumberOfIntervals>, <Interval> )
Parameter Attributes Description
Dates

The name of a column containing dates or a one column table containing dates.

NumberOfIntervals

The number of intervals to shift.

Interval

One of: Day, Month, Quarter, Year.

Return values

Table A table with a single column.

A table containing a single column of date values.

Notes

In order to use any time intelligence calculation, you need a well-formed date table. The Date table must satisfy the following requirements:

  • All dates need to be present for the years required. The Date table must always start on January 1 and end on December 31, including all the days in this range. If the report only references fiscal years, then the date table must include all the dates from the first to the last day of a fiscal year. For example, if the fiscal year 2008 starts on July 1, 2007, then the Date table must include all the days from July 1, 2007 to June 30, 2008.
  • There needs to be a column with a DateTime or Date data type containing unique values. This column is usually called Date. Even though the Date column is often used to define relationships with other tables, this is not required. Still, the Date column must contain unique values and should be referenced by the Mark as Date Table feature. In case the column also contains a time part, no time should be used – for example, the time should always be 12:00 am.
  • The Date table must be marked as a date table in the model, in case the relationship between the Date table and any other table is not based on the Date.

Remarks

The dates argument can be any of the following:

  • A reference to a date/time column. Only in this case a context transition applies because the <Dates> column reference is replaced by
  • A table expression that returns a single column of date/time values.
  • A Boolean expression that defines a single-column table of date/time values.

If the number specified for NumberOfIntervals is positive, the dates in dates are moved forward in time; if the number is negative, the dates in dates are shifted back in time.

The result table includes only dates that exist in the dates column.

The result table has an entire month if an entire month is selected in the source table. The notion of “month selected” is based on the dates available in the underlying date table. This way:

  • If the <Dates> argument includes all the days in April (30 rows), the result for the previous month includes all the days in March (31 days).
  • If the <Dates> argument includes the first 15 days in April (15 rows), the result for the previous month includes the first 15 days in March (15 rows).
» 1 related function

Examples

--  DATEADD is a more generic functions. 
--  It shifts a period back and forth over time using 
--  DAY, MONTH, QUARTER, YEAR
--  This example produces the same result as SAMEPERIODLASTYEAR
EVALUATE
VAR StartDate = DATE ( 2008, 07, 25 )
VAR EndDate =   DATE ( 2008, 07, 31 )
RETURN
    CALCULATETABLE (
        DATEADD ( 'Date'[Date], -1, YEAR ),
        'Date'[Date] >= StartDate &&
        'Date'[Date] <= EndDate
    )
ORDER BY [Date]
Date
2007-07-25
2007-07-26
2007-07-27
2007-07-28
2007-07-29
2007-07-30
2007-07-31
--  DATEADD has a quite complex logic to move months and quarters
--  the right way, handling months with different dates.
EVALUATE
VAR StartDate = DATE ( 2008, 02, 25 )
VAR EndDate =   DATE ( 2008, 02, 29 )
RETURN
    CALCULATETABLE (
        DATEADD ( 'Date'[Date], +1, MONTH ),
        'Date'[Date] >= StartDate &&
        'Date'[Date] <= EndDate
    )
ORDER BY [Date]
Date
2008-03-25
2008-03-26
2008-03-27
2008-03-28
2008-03-29
2008-03-30
2008-03-31
--  This example shows the sales in the current and previous month.
--  It also reports sales in the same month in the previous quarter and year.
DEFINE
    MEASURE Sales[Same period last month] =
        CALCULATE (
            [Sales Amount],
            DATEADD ( 'Date'[Date], -1, MONTH )
        )
    MEASURE Sales[Same period last quarter] =
        CALCULATE (
            [Sales Amount],
            DATEADD ( 'Date'[Date], -1, QUARTER )
        )
    MEASURE Sales[Same period last year] =
        CALCULATE (
            [Sales Amount],
            SAMEPERIODLASTYEAR ( 'Date'[Date] )
        )
EVALUATE
SUMMARIZECOLUMNS (
    'Date'[Calendar Year Month Number],
    'Date'[Calendar Year Month],
    "Sales Amount", [Sales Amount],
    "Same period last month", [Same period last month],
    "Same period last quarter", [Same period last quarter],
    "Same period last year", [Same period last year]
)
ORDER BY [Calendar Year Month Number]
Calendar Year Month Number Calendar Year Month Sales Amount Same period last month Same period last quarter Same period last year
200701 2007-01-01 794,248.24 (Blank) (Blank) (Blank)
200702 2007-02-01 891,135.91 794,248.24 (Blank) (Blank)
200703 2007-03-01 961,289.24 891,135.91 (Blank) (Blank)
200704 2007-04-01 1,128,104.82 961,289.24 794,248.24 (Blank)
200705 2007-05-01 936,192.74 1,128,104.82 891,135.91 (Blank)
200706 2007-06-01 982,304.46 936,192.74 961,289.24 (Blank)
200707 2007-07-01 922,542.98 982,304.46 1,128,104.82 (Blank)
200708 2007-08-01 952,834.58 922,542.98 936,192.74 (Blank)
200709 2007-09-01 1,009,868.98 952,834.59 982,304.46 (Blank)
200710 2007-10-01 914,273.54 1,009,868.98 922,542.98 (Blank)
200711 2007-11-01 825,601.87 914,273.54 952,834.59 (Blank)
200712 2007-12-01 991,548.75 825,601.87 1,009,868.98 (Blank)
200801 2008-01-01 656,766.69 991,548.75 914,273.54 794,248.24
200802 2008-02-01 600,080.00 656,766.69 825,601.87 891,135.91
200803 2008-03-01 559,538.52 600,080.00 991,548.75 961,289.24
200804 2008-04-01 999,667.17 559,538.52 656,766.69 1,128,104.82
200805 2008-05-01 893,231.96 999,667.17 600,080.00 936,192.74
200806 2008-06-01 845,141.60 893,231.96 559,538.52 982,304.46
200807 2008-07-01 890,547.41 845,141.60 999,667.17 922,542.98
200808 2008-08-01 721,560.95 890,547.41 893,231.96 952,834.59
200809 2008-09-01 963,437.23 721,560.95 845,141.60 1,009,868.98
200810 2008-10-01 719,792.99 963,437.23 890,547.41 914,273.54
200811 2008-11-01 1,156,109.32 719,792.99 721,560.95 825,601.87
200812 2008-12-01 921,709.14 1,156,109.32 963,437.23 991,548.75
200901 2009-01-01 580,901.05 921,709.14 719,792.99 656,766.69
200902 2009-02-01 622,581.14 580,901.05 1,156,109.32 600,080.00
200903 2009-03-01 496,137.87 622,581.14 921,709.14 559,538.52
200904 2009-04-01 678,893.22 496,137.87 580,901.05 999,667.17
200905 2009-05-01 1,067,165.23 678,893.22 622,581.14 893,231.96
200906 2009-06-01 872,586.20 1,067,165.23 496,137.87 845,141.60
200907 2009-07-01 1,068,396.58 872,586.20 678,893.22 890,547.41
200908 2009-08-01 835,707.46 1,068,396.58 1,067,165.23 721,560.95
200909 2009-09-01 709,610.40 835,707.46 872,586.20 963,437.23
200910 2009-10-01 806,738.22 709,610.40 1,068,396.58 719,792.99
200911 2009-11-01 868,164.01 806,738.22 835,707.46 1,156,109.32
200912 2009-12-01 746,933.50 868,164.01 709,610.40 921,709.14
201001 2010-01-01 (Blank) 746,933.50 806,738.22 580,901.05
201002 2010-02-01 (Blank) (Blank) 868,164.01 622,581.14
201003 2010-03-01 (Blank) (Blank) 746,933.50 496,137.87
201004 2010-04-01 (Blank) (Blank) (Blank) 678,893.22
201005 2010-05-01 (Blank) (Blank) (Blank) 1,067,165.23
201006 2010-06-01 (Blank) (Blank) (Blank) 872,586.20
201007 2010-07-01 (Blank) (Blank) (Blank) 1,068,396.58
201008 2010-08-01 (Blank) (Blank) (Blank) 835,707.46
201009 2010-09-01 (Blank) (Blank) (Blank) 709,610.40
201010 2010-10-01 (Blank) (Blank) (Blank) 806,738.22
201011 2010-11-01 (Blank) (Blank) (Blank) 868,164.01
201012 2010-12-01 (Blank) (Blank) (Blank) 746,933.50

Related functions

Other related functions are:

Last update: Oct 22, 2021   » Contribute   » Show contributors

Contributors: Alberto Ferrari, Marco Russo

Microsoft documentation: https://docs.microsoft.com/en-us/dax/dateadd-function-dax

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Context Transition

This function performs a Context Transition if called in a Row Context. Click to read more.

Row Context

This expression is executed in a Row Context. Click to read more.

Iterator

Not recommended

The use of this function is not recommended. See Remarks and Related functions for alternatives.

Not recommended

The use of this parameter is not recommended.

Deprecated

This function is deprecated. Jump to the Alternatives section to see the function to use.

Deprecated

This parameter is deprecated and its use is not recommended.

DirectQuery compatibility

Limitations are placed on DAX expressions allowed in measures and calculated columns.
The state below shows the DirectQuery compatibility of the DAX function.

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