I am trying to find a formula that will generate the total profit for a number of cohorts that generate a different periodic profit per unit, without having to create a line item for each cohort.
In this example, the profit contributed by each widget over time is shown in row 3, and the number of widgets issued in each cohort is shown vertically in column B. Each unit will contribute $25 in the first period, $60 in the second period, and so on. So year 1 total profit would be 100 x $25 = $2,500. Then in year 2, the Y1 cohort would generate 100 x $60 and the Y2 cohort would generate 200 x $25 for a total year 2 profit of $11,000.
Does someone know of a method in Excel that would work to consolidate the total profit calculation each year into a single formula? I am trying to model multiple line items over many periods, so looking for a more efficient solution.
Edit: In case this helps clarify the question, below is an image showing an example of another inefficient way to solve the problem in one line for year 4 total profits, but this is still not scalable. Also shown in text below.
`Year 4 total profit =
Y1 units issued x P4 profit per unit +
Y2 units issued x P3 profit per unit +
Y3 units issued x P2 profit per unit +
Y4 units issued x P1 profit per unit`
inefficient solution
Office 365, in C17:
=SUM(INDEX($B7:$B15,SEQUENCE(COUNT($C3:C3)))*INDEX($C3:C3,SEQUENCE(COUNT($C3:C3),,COUNT($C3:C3),-1)))
and copied right.
Ah well, I've just written an answer compatible with lower versions of Excel:
=MMULT(TRANSPOSE(B7:B15)^0,IF(ROW(B7:B15)-ROW(B7)<=COLUMN(C3:K3)-COLUMN(C3),INDEX(C3:K3,COLUMN(C3:K3)-COLUMN(C3)-(ROW(B7:B15)-ROW(B7))+1)*B7:B15,0))
It could be done a bit more easily in Excel 365 using Sequence() instead of row() and column(), but the same principle - generate a 2D matrix by comparing row and column numbers, then obtain its column totals using a standard method with Mmult.
I've filled in the intermediate results in C7:K15, but you only need the formula in C17.
Related
I'm using dynamic array functions in Excel (SCAN, MAP, LET, BYCOL, etc); wihtout VBA or regular SUMIF formulas, to create a runway or burnrate-type table. So, I start with a $10,000 budget, month 1 $2,000 are spent, so $2,000 come out of the budget, month 2 $3,000, and so on until the cash available is 0 for the remaining months of the year. With a table showing how much cash was used from the budget per month, Desired outcome in the case below.
A
B
C
D
E
F
1
Budget
$10,000
2
Month
1
2
3
4
5
3
Expense
-$2,000
-$3,000
-$7,000
-$4,000
-$2,000
4
Desired outcome
-$2,000
-$3,000
-$5,000
$0
$0
Note that the Desired outcome amount is how much of the budget was used to cover the expenses.
Notice that Month 3 I spent $7,000, but from the budget, only $5,000 were left; so that's what I show.
Studied all the dynamic array (SPILL!) functions and lambda functions that I could find on the internet (this video by excelisfun is great) but I couldn't make it work. Some combination between SCAN or MAP would be the go-to solution I would think.
The solution should be one formula that leverage MS365 dynamic array functions.
I used REDUCE to get your result:
=LET(budget, -B1,
expenses, B3:F3,
DROP(REDUCE( 0, expenses,
LAMBDA( x, y,
HSTACK( x,
IF( SUM(x,y)>=budget,
y,
budget-SUM(x))))),
,1))
It creates a cumulative sum of expenses and checks if it's greater than or equal to the budget (since your expenses are negatives I converted budget to a negative).
If it is it, the value of expenses is shown, otherwise the remainder of the budget minus the cumulative sum of the expenses.
This is a perennial question for retailers, for which there are a number of solutions in existence:
How can you calculate the "forward cover" of a product knowing its current inventory and armed with forward sales estimates.
eg.
current inventory 100 units (cell A1)
weekly forward sales estimates: 25, 30, 10, 40, 90... (in range
A2:AX)
Here the answer would be 3.875 weeks (3 full weeks plus 0.875 of week 4)
I have a UDF to do this already.
I also have some slightly complicated array functions to do this, eg.
=MATCH(TRUE,SUBTOTAL(9,OFFSET(A2:A13,,,ROW(A2:A13)-ROW(A2)+1))>A1,0)-1+(A1-SUM(A2:INDEX(A2:A13,MATCH(TRUE,SUBTOTAL(9,OFFSET(A2:A13,,,ROW(A2:A13)-ROW(A2)+1))>A1,0)-1)))/INDEX(A2:A13,MATCH(TRUE,SUBTOTAL(9,OFFSET(A2:A13,,,ROW(A2:A13)-ROW(A2)+1))>A1,0)-1+1)
I was wondering if there is a neater way with these 'new-fangled' array functions which have been available for the last few years in later versions of Excel?
Here is another possible solution, although it requires the LET() function which is only available to newer version of excel (2021, 365 and later I believe).
The solution would be the following formula:
=LET(
sales,A2:A50,
inventory,A1,
cum_sum,MMULT(SEQUENCE(1,ROWS(sales),1,0),(ROW(sales)<=TRANSPOSE(ROW(sales)))*sales),
week_full,MATCH(TRUE,inventory<cum_sum,0) - 1,
week_frac,(inventory - INDEX(cum_sum,week_full)) / INDEX(sales,week_full + 1),
week_full + week_frac
)
Explanation
Given inventory and the forward looking sales estimates, the formula calculates the running total (i.e. cumulated sum) of the sales estimates as shown in the table here below
Inv and Sales
Cumulated Sum
Inv > Cum_Sum
Week
100
25
25
0
1
30
55
0
2
10
65
0
3
40
105
1
4
90
195
1
5
...
...
1
6
The formula goes on to get the number of full weeks of 'forward cover' by finding the the value for the cumulated sum that exceeds the inventory minus one (here 4 - 1 = 3).
Lastly, for the value of the week fraction covered in the last week, the formula calculates inventory minus sum of sales estimates of all previous weeks divided by sales estimate of final week of cover (i.e. (100 - 65) / 40 = 0.875).
Edit
After simplifying the formula you used with the LET() function, I noticed it's doing exactly the same calculation with the only difference of how the cumulated sum is being calculated. Here's your formula using LET():
=LET(
sales,A2:A50,
inventory,A1,
cum_sum,SUBTOTAL(9,OFFSET(sales,,,SEQUENCE(ROWS(sales)))),
week_full,MATCH(TRUE,cum_sum>inventory,0)-1,
week_frac,(inventory - INDEX(cum_sum,week_full)) / INDEX(sales,week_full+1),
week_full + week_frac
)
=LET(inv,A1,
sales,A2:A6,
cs,SCAN(0,sales,LAMBDA(x,y,x+y)),
m,XMATCH(A1,cs,1)-1,
m+(inv-
IF(m=0,
0,
INDEX(cs,m)))
/INDEX(sales,m+1))
SCAN() is perfect for creating a cumulative sum.
It can be referenced inside XMATCH because of the use of LET.
Here m returns the number of full weeks and the final calculation is the number of full weeks + (inv- cumulative sum up to the full week)/sales of the following week.
I am trying to create a forecast tool that shows a smooth growth rate over a determined number of steps while adding up to a determined value. We have variables tied to certain sales values and want to illustrate different growth patterns. I am looking for a formula that would help us to determine the values of each individual step.
as an example: say we wanted to illustrate 100 units sold, starting with sales of 19 units, over 4 months with an even growth rate we would need to have individual month sales of 19, 23, 27 and 31. We can find these values with a lot of trial and error, but I am hoping that there is a formula that I could use to automatically calculate the values.
We will have a starting value (current or last month sales), a total amount of sales that we want to illustrate, and a period of time that we want to evaluate -- so all I am missing is a way to determine the change needed between individual values.
This basically is a problem in sequences and series. If the starting sales number is a, the difference in sales numbers between consecutive months is d, and the number of months is n, then the total sales is
S = n/2 * [2*a + (n-1) * d]
In your example, a=19, n=4, and S=100, with d unknown. That equation is easy to solve for d, and we get
d = 2 * (S - a * n) / (n * (n - 1))
There are other ways to write that, of course. If you substitute your example values into that expression, you get d=4, so the sales values increase by 4 each month.
For excel you can use this formula:
=IF(D1<>"",(D1-1)*($B$1-$B$2*$B$3)/SUMPRODUCT(ROW($A$1:INDEX(A:A,$B$3-1)))+$B$2,"")
I would recommend using Excel.
This is simply a Y=mX+b equation.
Assuming you want a steady growth rate over a time with x periods you can use this formula to determine the slope of your line (growth rate - designated as 'm'). As long as you have your two data points (starting sales value & ending sales value) you can find 'm' using
m = (y2-y1) / (x2-x1)
That will calculate the slope. Y2 represents your final sales goal. Y1 represents your current sales level. X2 is your number of periods in the period of performance (so how many months are you giving to achieve the goal). X1 = 0 since it represents today which is time period 0.
Once you solve for 'm' this will plug into the formula y=mX+b. Your 'b' in this scenario will always be equal to your current sales level (this represents the y intercept).
Then all you have to do to calculate the new 'Y' which represents the sales level at any period by plugging in any X value you choose. So if you are in the first month, then x=1. If you are in the second month X=2. The 'm' & 'b' stay the same.
See the Excel template below which serves as a rudimentary model. The yellow boxes can be filled in by the user and the white boxes should be left as formulas.
So I am working on a spreadsheet for a Butchery I manage and have run into a problem.
First off back story: We do $20 packs for certain bulk products that have a min/max weight range.
The Goal is to be able to put in this spreadsheet the desired minimum GP% and from that get a maximum weight based off that minimum profit margin.
For example a Beef Steak that Costs $17.50 p/kilo Would be minimum of 680g (at a GP% of 30.30%) and a maximum weight of 790g (at a GP% of 20.50%)
I have been 'googling' all day, and banging my head on my desk (as well as experimenting with different formula's) I am starting to think I may have to resort to programming a macro to perform this but I would prefer to be able to achieve in a formula on the cell that way I can copy-paste easily down the spreadsheet.
If anyone has a solution or can put me on the right track would be Awesome.
I think the formula you are looking for is :
your selling price (=20$) / your mark up on cost
where your mark up is :
your cost per kilo / (1- your margin)
So for 20% expected GP it gives :
= 20 / (17.5 / (1-0.2))
= 20 / 21.875
= 0.914... kilos
Balance is then :
Revenue = 20$
Cost = 0.914 * 17.5 = 16
Margin = 4
Margin % = 20
I want to multiply x*y until x>=20, then multiply z that value and have the results displayed as two values, the multiple and multiple*z
The question behind the formula is, how many boxes of x capacity do I need to have a total capacity of 20 liters and how much does that cost.
x = volume of bottle
y = number of bottles in a box
z = price per box
This could be done very easily by hand, but I've been playing (with little effect) in excel for a while and would like a solution.
I hope that makes sense
I rather think what you would like is the formula provided by #Jeeped but for:
I want to multiply x*y until x>=20, then multiply z that value and have the results displayed as two values, the multiple and multiple*z
label two arrays from 1 to 20 for columns and rows as shown, populate V1 with the price per box and in B2:
=IF(AND($A2*B$1>20,A2>=20),"",$A2*B$1)
and in X2:
=IF(B2="","",$V$1*B2)
with both formulae copied across 19 columns and those two sets of 20 formulae then copied down 19 rows. The result should be similar to: