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Which functions can I use to obtain MTD, QTD, and YTD results in Power BI?

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In Power BI, you can use specific DAX functions to calculate MTD, QTD, and YTD results. Alternatively, you can create your own custom DAX formulas to achieve the same calculations. Below are the functions and formulas for each:

1. MTD (Month-To-Date)

  • Function: TOTALMTD()
    • This function calculates the total value from the start of the current month to the current date.

Formula:

MTD_Sales = TOTALMTD(SUM(Sales[Amount]), 'Date'[Date])
  • Sales[Amount] is the column for sales, and 'Date'[Date] is the date column in your Date table.

Alternatively, using a custom formula:

MTD_Sales = 
CALCULATE(
    SUM(Sales[Amount]),
    DATESMTD('Date'[Date])
)

2. QTD (Quarter-To-Date)

  • Function: TOTALQTD()
    • This function calculates the total value from the start of the current quarter to the current date.

Formula:

QTD_Sales = TOTALQTD(SUM(Sales[Amount]), 'Date'[Date])
  • Sales[Amount] is the column for sales, and 'Date'[Date] is the date column in your Date table.

Alternatively, using a custom formula:

QTD_Sales = 
CALCULATE(
    SUM(Sales[Amount]),
    DATESQTD('Date'[Date])
)

3. YTD (Year-To-Date)

  • Function: TOTALYTD()
    • This function calculates the total value from the beginning of the current year to the current date.

Formula:

YTD_Sales = TOTALYTD(SUM(Sales[Amount]), 'Date'[Date])
  • Sales[Amount] is the column for sales, and 'Date'[Date] is the date column in your Date table.

Alternatively, using a custom formula:

YTD_Sales = 
CALCULATE(
    SUM(Sales[Amount]),
    DATESYTD('Date'[Date])
)

Explanation:

  • TOTALMTD(), TOTALQTD(), and TOTALYTD() are the built-in DAX functions specifically designed to handle Month-To-Date, Quarter-To-Date, and Year-To-Date calculations, respectively.
  • The custom formulas using CALCULATE() with DATESMTD(), DATESQTD(), and DATESYTD() can also be used to create similar results, giving you more flexibility in how the calculations are applied.

These formulas can be used to analyze data over time and help track performance against monthly, quarterly, or yearly targets. Make sure to adjust the column names (Sales[Amount] and 'Date'[Date]) to fit your data model.

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