Business (KAU, or kind-of-activity unit): An enterprise subdivision that is engaged in predominantly one activity and for which a single set of accounting records is available.
Total income includes sales, interest, dividends and donations received, non-operating income, government funding, grants, and subsidies (including COVID-19 wage subsidies).
Operating profit (before income tax) is total income less total expenditure (excluding non-operating items) plus change in stocks.
Data refers to the latest financial year available, which depends on each business.
Data for the 2022 financial year is provisional.
The AES data is to be used with caution below industry design level (NZSIOC level 4). The survey is not designed to support analysis below this level.
Some industries are excluded on statistical grounds due to the difficulty of collecting the data from respondents: superannuation funds (K6330), residential property operators (L6711), foreign government representation (O7552), religious services (S9540), private households employing staff and undifferentiated goods and service-producing activities of households for own use (S960).
Non-market government units have not been included in the AES population for all data published since the AES 2015.
Businesses that are not economically significant are not selected into the AES.
From the dataset Annual Enterprise Survey: Size bands (provisional) 2022, this data was extracted:
Sheet: Table 3
Provided: 176 data points
Dataset originally released on:
June 30, 2023
About this dataset
The Annual Enterprise Survey (AES) is New Zealand’s most comprehensive source of financial statistics covering around 500,000 businesses. It provides annual information on the financial performance and financial position for industry groups operating in New Zealand. The AES was designed as the principal collection vehicle of data used in the compilation of New Zealand's national accounts. Data used in this survey is compiled from a number of sources and measures industry levels for a given year. Incremental improvements in measurement, sample design, classification, and data collection may influence the inter-period movements, particularly over longer time periods.