Data in this report are from the Census Bureau's Annual Capital Expenditures Survey (ACES), which collects information on expenditures for new and used structures and equipment by all U.S. nonfarm businesses. The Capital Spending Report series covers spending by North American Industry Classification System (NAICS) industry sector in a ten-year moving window ending with the most recent ACES reference year— 2020 in the current report. However, linked background tables provide comparable NAICS industry data beginning in 1999. Estimates for the most recent years in each report are subject to revision. Information on companies without employees was not collected for the 2018 survey.
The report looks closely at investment shares over time to see which are growing (shrinking) and, in theory, where firms and capital markets perceive the greatest economic opportunity. Annual spending estimates are not adjusted for inflation. This may affect the utility of year-to-year or longer-term comparisons of spending levels, especially when inflation rates are volatile and vary across industry groups and asset categories. However, with some exceptions (e.g., declines in information technology equipment prices, which may have a negative effect on investment totals in industries that invest heavily in IT equipment), comparisons of shares of overall investment across industry groups are less affected by inflation.
The ACES collects industry detail only for companies with employees; hence, estimates in the present report series of capital spending by industry are for employer businesses. Over the 10-year period from 2011 to 2020, these businesses accounted for over ninety percent of total annual structures and equipment spending by U.S. nonfarm businesses.
Between 2011 and 2020, the period covered by this report, total spending by U.S. nonfarm businesses increased $463.5 billion (37.3 percent) from $1,243.0 billion in 2011 to $1,706.4 billion in 2020.
*These data are subject to sampling/non-sampling error.
*These data are subject to sampling/non-sampling error.
*These data are subject to sampling/non-sampling error.
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*These data are subject to sampling/non-sampling error.
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*These data are subject to sampling/non-sampling error.
*These data are subject to sampling/non-sampling error.
*These data are subject to sampling/non-sampling error.