Financial Projections

Financial Projections– trends, trends, trends

Value depends on the future, and to justify a given valuation of any asset a manager will need to show in financial terms how much this asset is expected to generate.

Basically we need to figure out how much money the company (asset) will generate in the future; this in simple terms is projections: I am trying to understand today to guesstimate tomorrow.

Understanding today: the trends

 History repeats itself, and anyone in finance would tell you that today is the best estimate for tomorrow. After all, if nothing changes why should tomorrow be different from today? Humans, including managers, are animals of habit, and we can think of projections as carrying today’s habits, patterns, and trends, to tomorrow.

Projecting a Profit and Loss statement is simple and would generate a good picture of where the company is going.

To understand the trends we start by building a common size income statement, this is done by dividing every line item on the income statement by sales. This will help us analyze some of the financial characteristics of the company, characteristics that for example, have existed for the last five years and if management does not plan major changes, one would expect seeing them in the coming five years.

Let us build an example as that I believe will make things clearer:

Josef lives in a village in the suburbs; he has a brother working at the municipality in the urban planning department. One Saturday evening over a game of cards his brother was describing how his manager informed him that the plan to revitalize their village, build high ways next to it, and a major industrial center will be complete in less than a year!

To Josef this was an opportunity to finally embark on his dream project of opening a laundry matt in his village, he is sure that the new industrial center will attract people and given the fact that his village is the only residential spot within several kilometers, a large number of the employees will opt to live in the village, he was going to be the man who irons their shirts!

Josef used to run a successful laundry matt in his wife’s village a couple of years back, which he decided to sell for a large profit. His wife’s village is very similar to his village and he plans to use what knowledge he has to build a profit and loss statement for his new shop, these are the assumptions:

  • Historical figures available for the period 2000 to 2005.
  • A five-year projection from 2006 to 2010.
  • Josef remembers that his gross profit margin on average was 80%, so for every AED 100 he sold he was able to retain approximately AED 80. The AED 20 mainly went to buy cleaning detergents.
  • The major costs on average as a percentage of his annual sales were:
    • Staff cost him 6%
    • Electricity, water and other bills cost him 21%
    • Rent cost him 8%
    • Washing machines maintenance 5

 

  • Let us assume that Josef was smart, unlike his brother which spent all of his money on a highly depreciable sports car, and has saved enough money to open the store without taking a loan. So no finance costs.

                                       

  • After all of the costs have been covered, Josef used to retain on average 40% of his annual sales from the old laundry matt as Net income, and he expects the same to apply here.

 

Now if you look closely what did Josef do? He started with sales and then calculated how much of the sales he needs to cover his costs, and finally how much remains as net income. These are the trends: Let us assume that for the last five years Josef’s old laundry had the following figures:

 

 Laundry

Historical

       
Income Statement

2000

2001

2002

2003

2004

Revenue

8,000

8,800

10,560

11,616

12,778

Cost of Sales

1,600

1,760

2,112

2,323

2,556

Gross Profit

6,400

7,040

8,448

9,293

10,222

Operating Expenses          
Staff Salaries

400

440

634

929

639

Rent

800

880

739

581

1,278

Electricity and Water

1,600

1,760

3,168

1,742

2,556

Maintenance

400

440

634

348

639

Total Operating Costs

3,200

3,520

5,174

3,601

5,111

Financing Costs

0

0

0

0

0

Net income

3,200

3,520

3,274

5,692

5,111

Step 1: Create a common size by dividing all the Income statement figures by the revenues.

Step 2: Average the percentages over the historical period. This will perform two functions, first it will reduce the effect of any onetime deviation, for example in 2003 the utility (electricity and water) charges as a percentage of sales were low at 15% but the average is 21%, second it is an effective means to reflect a common pattern.  

Laundry

Historical

         
Income Statement

2000

2001

2002

2003

2004

Average

Revenue

100%

100%

100%

100%

100%

100%

Cost of Sales

20%

20%

20%

20%

20%

20%

Gross Profit

80%

80%

80%

80%

80%

80%

Operating Expenses            
Staff Salaries

5%

5%

6%

8%

5%

6%

Rent

10%

10%

7%

5%

10%

8%

Electricity and Water

20%

20%

30%

15%

20%

21%

Maintenance

5%

5%

6%

3%

5%

5%

Total Operating Costs

40%

40%

49%

31%

40%

40%

Financing Costs

0%

0%

0%

0%

0%

0%

Net income

40%

40%

31%

49%

40%

40%

 Step 3: Calculate the revenues historical growth and average the percentage growth as well.

Laundry

Historical

         
Income Statement

2000

2001

2002

2003

2004

Average

Revenue

8,000

8,800

10,560

11,616

12,778

 

Growth  

10%

20%

10%

10%

10%

 Step 4: Grow the revenue for the projection period, say next five years, using the average sales growth that we calculated in Step 3, i.e. 10%.

Laundry

Historical

         
Income Statement

2004

2005

2006

2007

2008

2009

Revenue

12,778

14,056

15,461

17,007

18,708

20,579

Step 5: Now that we have our projected sales figures from Step 4, and we know on average what percentages our costs are of these sales from Step 2, it becomes a matter of multiplying the average margins by the new sales (Step 2 x Step 4). For example we know that the staff salaries represented on average 6% of the sales, between years 2000 and 2004, so we could say that this would apply between 2004 and 2009. Projection should be based on logical assumptions, if we know for a fact that in 2008 management plans to hire a top-notch Laundry Scientist that will likely cost the company top dollars it makes no sense to use 6% of sales as a figure to project staff costs for that year, rather use 10%.

Laundry

Historical

 

Projected

     
Income Statement

2004

2005

2006

2007

2008

2009

Revenue

12,778

14,056

15,461

17,008

18,708

20,579

Cost of Sales

2,556

2,811

3,092

3,401

3,742

4,116

Gross Profit

10,222

11,245

12,369

13,606

14,967

16,463

Operating Expenses            
Staff Salaries

639

815

897

986

1,085

1,194

Rent

1,278

1,181

1,299

1,429

1,571

1,729

Electricity and Water

2,556

2,952

3,247

3,572

3,929

4,322

Maintenance

639

675

742

816

898

988

Total Operating Costs

5,111

5,622

6,185

6,803

7,483

8,232

Financing Costs

0

0

0

0

0

0

Net income

5,111

5,622

6,185

6,803

7,483

8,232

It is simple really, just remember to use your logic and review the numbers, and don’t depend too much on the formula, sometimes you will have a small typing error and your NI in 2007 that should be 6 Million ends up being 60 Million!

In the end note the following:

  • Go through the numbers one by one; to make sure that none is out of trend. If sales are growing 10% every year, it makes no sense for NI to grow 60%.
  • Do not project any equation, in the above example these are the gross profit, total operating expenses, and Net income.
  • Keep the revenue growth percentage as a separate cell, that way you can study different scenarios by just changing the revenue growth assumption. So if you are the advisor of the Laundry manager and he calls you asking what is the effect on the bottom line if he employs an aggressive sales strategy, growing revenues by 15% year on year, all you have to do is change the value of one cell from 10% to 15%.

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