Session five
output tables and graphs

Session 5: Expenditure graphs

Issue addressed by this output

Company expenditure accounts can be complex and overwhelming when they are presented as tables of numbers.
Use this output from the software to address the question: How can I get a better overview of what my organisation spends its money on?

Underlying calculation

Rather than a calculation this is a graphical presentation of your organisation’s raw expenditure data. The histogram can show your expenditure account either in National Accounts categories, using the conversion table or your organisation’s own categories.

National Accounts category   Expenditure ($)

Apples and pears

 

52,004

Eggs

 

66,762

Oilseeds

 

1,623

Milk

 

25,926

Chicken

 

69,861

Oats & wheat

 

10,673

Flour

 

120,000

Corn

 

142,582

Potatoes

 

80,245

Electricity

 

56264

Water

 

1,479

Bottled gas

 

7,662

Town gas

 

29.191

Milk powder

 

49,686

Cheese

 

36,434

Butter

 

29,872

SR Flour

 

10,955

Gluten

 

65,252

New Oven

 

267,236

Refined sugar

 

66,444

Red meat

 

253,894

Paperboard containers and plates

 

59,157

Advertising

 

15,786

Tax accountant

 

13,714

Wages and salaries

 

1,054,700

Business tax

 

390.700

The example table above shows MyBakery’s expenditure in dollars. The software allows you to change this to show $k, $m, or $b if preferred. All units can be changed to suit the needs of your organisation.

Expenditure histogram for MyBakery

The bars in this histogram represent your expenditure account, after

  • deflating into 1998-99 prices,
  • re-classifying into the National Accounts’ product groups
  • converting from purchasers’ prices to basic prices.

Because of the above conversions, the values you see in the histogram may be different from the values you entered. Also you may find some items that you didn’t enter at all, for example ‘Retail trade’ or ‘Road freight’. This is the result of the conversion from purchasers’ prices to basic prices; the software engine has subtracted the retail and freight margins from your purchases, and allocated them correctly to the industries that supply these margins. Finally, the graph doesn’t show items that are less than 1% of your total turnover, simply because the bars would be too small to read.

From the expenditure graph in the figure above you can readily see that most of MyBakery money is spent on wages and salaries, meat, wheat flour and vegetables, which are all basic inputs into making pies.

Using the output

Scenario
You are asked to introduce new procurement policies because the organisation wants to be proactive about cost saving and reporting. As a first step the organisation asks you to prepare an overview of where their money is being spent. The information is currently buried in detailed accounts. You need to distil the information into something that is easy for the executive to see at a glance.

You enter the organisation’s accounts into the software and reclassify expenditure items into national accounts classifications.. The software calculates an expenditure histogram for you.

What the output means

From the histogram you can readily see that most of the organisation’s money is spent on Wages and salaries. After Taxes and Surplus the next largest outlay is on Vegetables and then Fresh meat.

From this picture of MyBakery’s spending, and depending on the indicators you have chosen, you might want to focus investigations on Vegetables and Fresh meat.

This expenditure graph can be compared with similar graphs on TBL indicator impacts (see Commodity Graphs). Such comparisons reveal trade-offs between improving impacts and reducing cost.

Next Next: Revenue graph

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