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1301.0 - Year Book Australia, 2004  
Previous ISSUE Released at 11:30 AM (CANBERRA TIME) 27/02/2004   
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Contents >> Industry structure and performance >> Selected measures of industry performance

Data items such as income, expenses, operating profit before tax (OPBT) and operating profit margins can be used to assess business and industry performance.

Total operating income includes sales of goods, income from services, interest income, and rent, leasing and hiring income. Total operating expenses includes labour costs, total purchases, financial expenses, and rent, leasing and hiring expenses. OPBT was calculated as total operating income minus total operating expenses. Other definitions of OPBT include change in stocks, but this information was not available for these estimates. Operating profit margin refers to the percentage of operating income available as OPBT. Table 13.7 presents these items for selected industries for 2000-01.

13.7 INDUSTRY PERFORMANCE, Selected industries(a) - 2000-01

Total operating
income
Total operating expenses
Operating profit before
tax (OPBT)(b)
Operating profit
margin
$m
$m
$m
%

Mining
58,804
42,629
16,175
28
Manufacturing
261,464
245,183
16,281
6
Electricity, gas and water supply
37,633
33,033
4,600
12
Construction
97,397
89,647
7,750
8
Wholesale trade
256,376
249,800
6,576
3
Retail trade
229,726
224,108
5,618
2
Accommodation, cafes and restaurants
36,886
35,041
1,845
5
Transport and storage
72,622
69,573
3,048
4
Communication services
38,025
31,746
6,279
17
Services to finance and insurance(c)
26,996
22,702
4,294
16
Property and business services
152,271
136,184
16,087
11
Health services(d)
31,689
27,218
4,472
14
Cultural and recreational services
28,383
25,155
3,228
11
Personal services(e)
9,220
8,346
874
9

(a) Businesses classified to agriculture, forestry and fishing; education; or the general government sector were excluded from these estimates. Government-owned public trading enterprises were included.
(b) OPBT was calculated prior to rounding of figures and therefore some discrepancy may occur between these figures and OPBT calculated from rounded figures.
(c) Finance and insurance businesses were excluded from these estimates. They relate to services to finance and insurance only.
(d) Businesses classified to community services were excluded from these estimates.
(e) Businesses classified to other services or private households employing staff were excluded from these estimates.
Source: Australian Industry, 2000-01 (8155.0).

In 2000-01, the mining industry had the greatest operating profit margin (28%) of all industries. This industry generated $58,804m in total operating income and incurred total operating expenses of $42,629. The industries with the next biggest operating profit margins were the communication services (17%), services to finance and insurance (16%), and health services (14%) industries (table 13.7).

The manufacturing industry had the highest total operating income ($261,464m) and OPBT ($16,281m) of all industries in 2000-01. However, this industry had a relatively low operating profit margin (6%) compared to other industries. The next highest OPBT were in the mining ($16,175m), property and business services ($16,087m), and construction ($7,750m) industries.

The industry performance estimates presented in table 13.7 were derived using a combination of data from the ABS annual Economic Activity Survey and business income tax data provided to the Australian Taxation Office. Data were sourced from both employing and non-employing business entities and were recorded exclusive of the Goods and Services Tax, introduced on 1 July 2000.

Industry performance data presented in Mining; Manufacturing; and Communications and information technology relate to employing businesses only. Other chapters provide industry performance data for both employing and non-employing businesses. Care should be taken when making comparisons with data in chapters for individual industries. Differences in the frequency, scope, statistical units and methodologies of the various ABS collections used to compile the statistics will affect the degree to which comparisons can be made.

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