Hello, first of all thanks for your help.
What I want to do is to compare the cumulative sales from working days since first of the month to current date vs the sales of the same quantity of working days same month last year.
Lets say today is September 4, 2019 and we work from Monday to Saturday.
As September 2019 started Sunday my first working day was Monday 2nd, second working day was Tuesday 3rd and third working day was Wednesday 4th.
Last year September 1st was Saturday as we work on Saturdays my first working day was that Saturday, second working day was Monday 3rd, and third working day was Tuesday 4th.
Is there any way to compare this periods of time?
This is just an example I did manually, I'm looking for a formula to do it automatically for the whole year.
Thanks!
[TABLE="width: 755"]
<tbody>[TR]
[TD="class: xl65, width: 221, align: center"]Date 2018[/TD]
[TD="class: xl66, width: 44, align: center"]Sales[/TD]
[TD="class: xl66, width: 81, align: center"]Total Sales[/TD]
[TD="class: xl66, width: 221, align: center"]Date 2019[/TD]
[TD="class: xl66, width: 44, align: center"]Sales[/TD]
[TD="class: xl66, width: 81, align: center"]Total Sales[/TD]
[TD="class: xl67, width: 63, align: center"]%[/TD]
[/TR]
[TR]
[TD="class: xl63, align: right"]Saturday, September 1, 2018[/TD]
[TD="align: right"]1500[/TD]
[TD="class: xl68, align: right"]1500[/TD]
[TD="class: xl63, align: right"]Monday, September 2, 2019[/TD]
[TD="align: right"]1000[/TD]
[TD="class: xl68, align: right"]1000[/TD]
[TD="class: xl69, align: right"]-33.33%[/TD]
[/TR]
[TR]
[TD="class: xl63, align: right"]Monday, September 3, 2018[/TD]
[TD="align: right"]2000[/TD]
[TD="class: xl68, align: right"]3500[/TD]
[TD="class: xl63, align: right"]Tuesday, September 3, 2019[/TD]
[TD="align: right"]3500[/TD]
[TD="class: xl68, align: right"]4500[/TD]
[TD="class: xl69, align: right"]28.57%[/TD]
[/TR]
[TR]
[TD="class: xl63, align: right"]Tuesday, September 4, 2018[/TD]
[TD="align: right"]1800[/TD]
[TD="class: xl68, align: right"]5300[/TD]
[TD="class: xl63, align: right"]Wednesday, September 4, 2019[/TD]
[TD="align: right"]2900[/TD]
[TD="class: xl68, align: right"]7400[/TD]
[TD="class: xl69, align: right"]39.62%[/TD]
[/TR]
[TR]
[TD="class: xl63, align: right"]Wednesday, September 5, 2018[/TD]
[TD="align: right"]3750[/TD]
[TD="class: xl68, align: right"]9050[/TD]
[TD="class: xl63, align: right"]Thursday, September 5, 2019[/TD]
[TD="align: right"]1800[/TD]
[TD="class: xl68, align: right"]9200[/TD]
[TD="class: xl69, align: right"]1.66%[/TD]
[/TR]
[TR]
[TD="class: xl63, align: right"]Thursday, September 6, 2018[/TD]
[TD="align: right"]1500[/TD]
[TD="class: xl68, align: right"]10550[/TD]
[TD="class: xl63, align: right"]Friday, September 6, 2019[/TD]
[TD="align: right"]3200[/TD]
[TD="class: xl68, align: right"]12400[/TD]
[TD="class: xl69, align: right"]17.54%[/TD]
[/TR]
[TR]
[TD="class: xl63, align: right"]Friday, September 7, 2018[/TD]
[TD="align: right"]1200[/TD]
[TD="class: xl68, align: right"]11750[/TD]
[TD="class: xl63, align: right"]Saturday, September 7, 2019[/TD]
[TD="align: right"]1250[/TD]
[TD="class: xl68, align: right"]13650[/TD]
[TD="class: xl69, align: right"]16.17%[/TD]
[/TR]
[TR]
[TD="class: xl63, align: right"]Saturday, September 8, 2018[/TD]
[TD="align: right"]1100[/TD]
[TD="class: xl68, align: right"]12850[/TD]
[TD="class: xl63, align: right"]Monday, September 9, 2019[/TD]
[TD="align: right"]4000[/TD]
[TD="class: xl68, align: right"]17650[/TD]
[TD="class: xl69, align: right"]37.35%[/TD]
[/TR]
[TR]
[TD="class: xl63, align: right"]Monday, September 10, 2018[/TD]
[TD="align: right"]3150[/TD]
[TD="class: xl68, align: right"]16000[/TD]
[TD="class: xl63, align: right"]Tuesday, September 10, 2019[/TD]
[TD="align: right"]1900[/TD]
[TD="class: xl68, align: right"]19550[/TD]
[TD="class: xl69, align: right"]22.19%[/TD]
[/TR]
</tbody>[/TABLE]
What I want to do is to compare the cumulative sales from working days since first of the month to current date vs the sales of the same quantity of working days same month last year.
Lets say today is September 4, 2019 and we work from Monday to Saturday.
As September 2019 started Sunday my first working day was Monday 2nd, second working day was Tuesday 3rd and third working day was Wednesday 4th.
Last year September 1st was Saturday as we work on Saturdays my first working day was that Saturday, second working day was Monday 3rd, and third working day was Tuesday 4th.
Is there any way to compare this periods of time?
This is just an example I did manually, I'm looking for a formula to do it automatically for the whole year.
Thanks!
[TABLE="width: 755"]
<tbody>[TR]
[TD="class: xl65, width: 221, align: center"]Date 2018[/TD]
[TD="class: xl66, width: 44, align: center"]Sales[/TD]
[TD="class: xl66, width: 81, align: center"]Total Sales[/TD]
[TD="class: xl66, width: 221, align: center"]Date 2019[/TD]
[TD="class: xl66, width: 44, align: center"]Sales[/TD]
[TD="class: xl66, width: 81, align: center"]Total Sales[/TD]
[TD="class: xl67, width: 63, align: center"]%[/TD]
[/TR]
[TR]
[TD="class: xl63, align: right"]Saturday, September 1, 2018[/TD]
[TD="align: right"]1500[/TD]
[TD="class: xl68, align: right"]1500[/TD]
[TD="class: xl63, align: right"]Monday, September 2, 2019[/TD]
[TD="align: right"]1000[/TD]
[TD="class: xl68, align: right"]1000[/TD]
[TD="class: xl69, align: right"]-33.33%[/TD]
[/TR]
[TR]
[TD="class: xl63, align: right"]Monday, September 3, 2018[/TD]
[TD="align: right"]2000[/TD]
[TD="class: xl68, align: right"]3500[/TD]
[TD="class: xl63, align: right"]Tuesday, September 3, 2019[/TD]
[TD="align: right"]3500[/TD]
[TD="class: xl68, align: right"]4500[/TD]
[TD="class: xl69, align: right"]28.57%[/TD]
[/TR]
[TR]
[TD="class: xl63, align: right"]Tuesday, September 4, 2018[/TD]
[TD="align: right"]1800[/TD]
[TD="class: xl68, align: right"]5300[/TD]
[TD="class: xl63, align: right"]Wednesday, September 4, 2019[/TD]
[TD="align: right"]2900[/TD]
[TD="class: xl68, align: right"]7400[/TD]
[TD="class: xl69, align: right"]39.62%[/TD]
[/TR]
[TR]
[TD="class: xl63, align: right"]Wednesday, September 5, 2018[/TD]
[TD="align: right"]3750[/TD]
[TD="class: xl68, align: right"]9050[/TD]
[TD="class: xl63, align: right"]Thursday, September 5, 2019[/TD]
[TD="align: right"]1800[/TD]
[TD="class: xl68, align: right"]9200[/TD]
[TD="class: xl69, align: right"]1.66%[/TD]
[/TR]
[TR]
[TD="class: xl63, align: right"]Thursday, September 6, 2018[/TD]
[TD="align: right"]1500[/TD]
[TD="class: xl68, align: right"]10550[/TD]
[TD="class: xl63, align: right"]Friday, September 6, 2019[/TD]
[TD="align: right"]3200[/TD]
[TD="class: xl68, align: right"]12400[/TD]
[TD="class: xl69, align: right"]17.54%[/TD]
[/TR]
[TR]
[TD="class: xl63, align: right"]Friday, September 7, 2018[/TD]
[TD="align: right"]1200[/TD]
[TD="class: xl68, align: right"]11750[/TD]
[TD="class: xl63, align: right"]Saturday, September 7, 2019[/TD]
[TD="align: right"]1250[/TD]
[TD="class: xl68, align: right"]13650[/TD]
[TD="class: xl69, align: right"]16.17%[/TD]
[/TR]
[TR]
[TD="class: xl63, align: right"]Saturday, September 8, 2018[/TD]
[TD="align: right"]1100[/TD]
[TD="class: xl68, align: right"]12850[/TD]
[TD="class: xl63, align: right"]Monday, September 9, 2019[/TD]
[TD="align: right"]4000[/TD]
[TD="class: xl68, align: right"]17650[/TD]
[TD="class: xl69, align: right"]37.35%[/TD]
[/TR]
[TR]
[TD="class: xl63, align: right"]Monday, September 10, 2018[/TD]
[TD="align: right"]3150[/TD]
[TD="class: xl68, align: right"]16000[/TD]
[TD="class: xl63, align: right"]Tuesday, September 10, 2019[/TD]
[TD="align: right"]1900[/TD]
[TD="class: xl68, align: right"]19550[/TD]
[TD="class: xl69, align: right"]22.19%[/TD]
[/TR]
</tbody>[/TABLE]