This is part 3 of 6 on Profit & Loss Reporting using Excel series, written by Yogesh
Data sheet structure for Preparing P&L using Pivot Tables
Preparing Pivot Table P&L using Data sheet
Adding Calculated Fields to Pivot Table P&L
Exploring Pivot Table P&L Reports
Quarterly and Half yearly Profit Loss Reports in Excel
Budget V/s Actual Profit Loss Report using Pivot Tables
This is continuation of our earlier post Preparing Pivot Table P&L using Data. We have learned to prepare Pivot Table P&L. The report prepared in last post has all the major data to prepare a P&L but it is not a complete P&L report. Now we will add calculated fields to make it a complete P&L. We will also format data points to make it a complete P&L report.
We need the following extra values in our P&L
- Gross Margin = Sales – Cost of Goods Sold
- Gross Margin % = Gross Margin / Sales
- Operating Expenses = Rent + Personnel Cost + Utilities + Consumables + Misc Exp
- Operating Profit = Gross Margin – Operating Expenses
- Operating Profit % = Operating Profit / Sales
Making these extra fields in Pivot Table using Calculated Fields Features:
Click on PivotTable Tools > Calculated Items to define a new calculated field. [tutorial: how to add calculated fields to pivot tables]
Check out below screencast. Just replace the Field Names and Formulas to add the rest of the calculated fields.
Once you have added all the calculated fields to Pivot Table, these will start showing at the end of PivotTable. You will need to drag them to their respective position on P&L
Now you are almost ready with your P&L report, only few steps more to format data are required. You may have noticed that % Fields are showing as zero as of now. This is because they are formatted as numbers instead of percentages.
Do not use standard cell formatting to format them, instead use Value Field Setting Option to format pivot table fields. This one is useful as it will show data always as per the format set for particular field. Use Percentage format for % fields and Accounting Format for other value fields.
Few More steps like formatting certain fields as bold and italics and your PivotTable P&L is ready, you can play with is as any other pivot table and start presenting on various dimensions with few clicks
Make sure that you have correctly setup “Preserve Cell Formatting on update” option under pivot table options. This will help you retain the same format while you play with your PivotTable P&L.
The Final Profit & Loss Pivot Report
Once you finish all the formatting and settings, this is how the final report should look like:
Download the profit and loss report excel file
Download the excel file and play with it to understand the techniques discussed in this post.
What Next?
In the next part of this series, we explore this pivot table further, Continue reading.
Added by PHD:
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Yogesh is an accountant with 13 years of experience in India and abroad. His specialties are budgeting and costing, supplier accounting, negotiation of contracts, cost benefit analysis, MIS reporting, employees accounting. He writes about excel at http://www.yogeshguptaonline.com/
12 Responses to “29 Excel Formula Tips for all Occasions [and proof that PHD readers truly rock]”
Some great contributions here.
Gotta love the Friday 13th formula 😀
Great tips from you all! Thanks a lot for sharing! bsamson, particularly you helped me on a terribly annoying task. 🙂
(BTW, Chandoo, it's not exactly "Find if a range is normally distributed" what my suggestion does. It checks if two proportions are statistically different. I probably gave you a bad explanation on twitter, but it'd be probably better if you fix it here... 🙂 )
Great compilation Chandoo
For the "Clean your text before you lookup"
=VLOOKUP(CLEAN(TRIM(E20)),F5:G18,2,0)
I would like to share a method to convert a number-stored-as-text before you lookup:
=VLOOKUP(E20+0,F5:G18,2,0)
@Peder, yeah, I loved that formula
@Aires: Sorry, I misunderstood your formula. Corrected the heading now.
@John.. that is a cool tip.
Hey Chandoo,
That p-value formula is really great for a statistics person like me.
What a p-value essentially is, is the probability that the results obtained from a statistical test aren't valid. So for example, if my p value is .05, there's a 5% probability that my results are wrong.
You can play with this if you install the Data Analysis Toolpak (which will perform some statistical tests for you AND provide the P Value.)
Let's say for example I've got two weeks of data (separated into columns) with the number of hours worked per day. I want to find out if the total number of hours I worked in week two were really all the different than week one.
Week1 Week2
10 11
12 9
9 10
7 8
5 8
Go to Data > Data Analysis > T-Test Assuming Unequal Variances > OK
In the Variable 1 Box, select the range of data for week 1.
In the Variable 2 Box, select the range of data for week 2.
Check "Labels"
In the Alpha box, select a value (in percentage terms) for how tolerant you are of error.
.05 is the general standard; that is to say I am willing to accept a 95% level of confidence that my result is accuarate.
Select a range output.
Excel calculates a number of results: Average (mean) for each week's data, etc.
You'll notice however that there are two P Values; one-tail and two-tail. (one tail tests are for > or .05), the number of hours I worked in week two is statistically equivalent to the number of hours I worked in week one.
So here’s a way you might want to use this. You put up a new entry on your blog. You think it’s the best entry ever! So you pull your webstats for this week and compare it to last week. You gather data for each week on the length of time a visitor spends on your website. The question you’re trying to prove statistically is whether there’s an average increase in the amount of time spent on your website this week as compared to last week (as a result of your fancy new blog post). You can run the same statistical test I illustrated above to find out. Incidentally, it matters very little to the stat test whether the quantity of visitors differs or not.
Anyhow, the Data Analysis toolpack doesn't perform a lot of stat tests that folks like me would like to have access to. In those cases I have to either use different software, or write some very complicated mathematical formulas. Having this p-value formula makes my life a LOT easier!
Thanks!
Eric~
Fantastic stuf..One line explanation is cool.
Thanks to all the contributors
OS
Take FirstName, MI, LastName in access (you can fix it to work in excel) capitalize first letter of each and lowercase the rest and add ". " if MI exists then same for last name:
Full Name: Format(Left([FirstName],1),">") & Format(Right([FirstName]),Len([FirstName])-1),"") & ". ","") & Format(Left([LastName],1),">") & Format(Right([LastName],Len([LastName])-1),"<")
I teach excel, access, etc etc for a living and i have my access students build this formula one step at a time from the inside out to show how formulas can be made even if it looks complicated. Yes I know I could just do IsNull([MI]) and reverse the order in the Iif() function but the point here is to nest as many functions as possible one by one (also I illustrate how it will fail without the Not() as it is)
Extract the month from a date
The easiest formula for this is =MONTH(a1)
It will return a 1 for January, 2 for February etc.
if in a column we write the value of total person for eg. 10 if we spent 1.33 paise each person then how we get total amount in next column and the result will in round form plzzzzz solve my problem sir................... thank u
@Anjali
If the value 10 is in B2 and 1.33 paise is in C2 the formula in D2 could be =B2*C2
If the values are a column of values you can copy the formula down by copy/paste or drag the small black handle at the bottom right corner of cell D2
kindly share with me new forumulas.
How to convert a figure like 870.70 into 870 but 871.70 into 880 using excel formula ? Please help.