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Lesson36/59
Complete itVAR, DIVIDE and last year

Year-over-year growth in percent

New functionsVAR, SAMEPERIODLASTYEAR, DIVIDE
StatusNot started

Growth compares this period with the same period last year: (this year minus last year) divided by last year. Two variables keep it readable.

Where last year is BLANK, DIVIDE returns BLANK instead of an error, so 2024 stays empty instead of showing a meaningless number.

Your task

Write Sales YoY %: (Sales Amount minus last year’s Sales Amount) divided by last year’s Sales Amount.

*1*1*1*1SALEST1 · 420 ROWSSalesKeyNUMOrder DateDATEShip DateDATEProductKeyNUMCustomerKeyNUMQuantityNUMUnit PriceNUMPRODUCTT2 · 8 ROWSProductKeyNUMProductTEXTCategoryTEXTColorTEXTList PriceNUMStandard CostNUMCUSTOMERT3 · 10 ROWSCustomerKeyNUMCustomerTEXTCountryTEXTSegmentTEXTDATET4 · 731 ROWSDateDATEYearNUMQuarterTEXTMonthTEXTMonth NumberNUMNOTES1Filters flow from 1 to *, alongthe arrow: Product filters Sales.2Select a column or a measureto insert it at the cursor.3Measures in this model:[Sales Amount]Key columnFact tableSALES MODEL · STAR SCHEMASHEET 1 OF 1

About this exercise

You practise var, divide and last year with VAR, SAMEPERIODLASTYEAR and DIVIDE. The exercise runs on a small bike-shop model with a Sales fact table and Product, Customer and Date dimensions, the same star schema in every lesson.

Your measure, Sales YoY %, fills a Power BI-style matrix grouped by Date[Year] and Date[Quarter]. As in a real report, each cell evaluates the measure in its own filter context, and the subtotals and the grand total are evaluated again in theirs rather than added up. When you check your answer, every cell is compared with the expected value, wrong cells are marked, and the hint is about the mistake you made.

Measures that already exist in the model: Sales Amount. Reference them in square brackets, for example [Sales Amount].

Where you start

Sales YoY % =
VAR CY = [Sales Amount]
VAR PY = 
RETURN

The result to build

Expected result for Sales YoY %
Year › QuarterSales YoY %
2024
Q1
Q2
Q3
Q4
20251.6%
Q139.8%
Q2-35.0%
Q3-15.3%
Q437.7%
Total101.6%

Last updated 10 November 2026

Opening the exercise…