---
source: U.S. Census Bureau
url: https://www.census.gov/wholesale/pdf/mwts/currentwhl.pdf
document_type: pdf
date_retrieved: 2026-04-09
period: February 2026
parent_publication: Monthly Wholesale Trade Report
indicators_covered: [Wholesale Inventories MoM, Wholesale Sales MoM, Inventories/Sales Ratio]
---
# Monthly Wholesale Trade: Sales and Inventories, February 2026
## Sales
## Inventories
## Full Report
```text
FOR RELEASE AT 10:00 AM EDT, THURSDAY, APRIL 9, 2026
MONTHLY WHOLESALE TRADE: SALES AND INVENTORIES, FEBRUARY 2026
Release Number: CB26-57
April 9, 2026 — The U.S. Census Bureau announced the following new wholesale trade statistics for February
2026:
Monthly Inventories/Sales Ratios of Merchant Wholesalers, Except Manufacturers’
Sales Branches and Offices: 2017 to 2026
1.70
MONTHLY WHOLESALE INVENTORIES 1.65
1.60
1.55
FEBRUARY 2026 $919.6 billion +0.8% 1.50
1.45
JANUARY 2026
$911.9 billion -0.3% 1.40
(revised) 1.35
1.30
Next release: May 8, 2026 1.25
* The 90 percent confidence interval includes zero. There is insufficient evidence 1.20
to conclude that the actual change is different from zero. 1.15
Data adjusted for seasonality but not price changes. 1.10
2017 2018 2019 2020 2021 2022 2023 2024 2025 2026
Source: U.S. Census Bureau, Monthly Wholesale Trade Survey,
Source: U.S. Census Bureau, Monthly Wholesale Trade Survey, April 9, 2026. Estimates adjusted for seasonal and trading day
April 9, 2026. differences, but not for price changes.
Sales
February 2026 sales of merchant wholesalers, except manufacturers’ sales branches and offices, after
adjustment for seasonal variations and trading day differences, but not for price changes, were $751.9 billion,
up 2.7 percent (±0.4 percent) from the revised January level and were up 8.8 percent (±1.1 percent) from the
revised February 2025 level. The December 2025 to January 2026 percent change was revised from the
preliminary estimate of up 0.5 percent (±0.5 percent)* to up 1.1 percent (±0.5 percent).
Inventories
Total inventories of merchant wholesalers, except manufacturers’ sales branches and offices, after adjustment
for seasonal variations and trading day differences, but not for price changes, were $919.6 billion at the end of
February, up 0.8 percent (±0.4 percent) from the revised January level. Total inventories were up 1.8 percent
(±1.1 percent) from the revised February 2025 level.
Inventories/Sales Ratio
The February inventories/sales ratio for merchant wholesalers, except manufacturers’ sales branches and
offices, based on seasonally adjusted data, was 1.22. The February 2025 ratio was 1.31.
Data Inquiries Media Inquiries
Economic Indicators Division, Wholesale Indicator Branch Public Information Office
301-763-6856 301-763-3030
eid.wholesale.indicator.branch@census.gov pio@census.gov
GENERAL INFORMATION
Release Schedule
The March 2026 Monthly Wholesale Trade Report is scheduled for release on May 8, 2026. View the full
schedule in the Economic Briefing Room: .
To facilitate a faster return to the normal processing and release schedule following the lapse in funding, there
was not an Advance Economic Indicator Report issued for February 2026.
For additional survey information, including customizable time series estimates by industry, visit
.
Special Notice
The Annual Wholesale Trade Survey (AWTS) has transitioned to the Annual Integrated Economic Survey (AIES).
As a result of this transition and the associated changes to data processing and integration, the Annual
Revision Report for the Monthly Wholesale Trade Survey (MWTS) will be delayed. An updated release
schedule will be provided once it becomes available.
Statement Regarding Natural Disasters
For information on the impact of natural disasters on the compilation of this report, please see
.
EXPLANATORY NOTES
Reliability of the Estimates
Because the estimates presented in this report are based on a sample survey, they contain sampling error and
nonsampling error.
Sampling error is the difference between the estimate and the result that would be obtained from a complete
enumeration of the sampling frame conducted under the same survey conditions. This error occurs because
only a subset of the entire sampling frame is measured in a sample survey. Standard errors and coefficients of
variation, as given in Table 2 of this report, are estimated measures of sampling variation.
The margin of sampling error, as used on page 1, gives a range about the estimate, which can be used to
construct a 90-percent confidence interval. If, for example, the percent change estimate is +1.2 percent and
its estimated standard error is 0.8 percent, then the margin of sampling error is ±1.753 x 0.8 percent or ±1.4
percent, and the 90 percent confidence interval is 1.2 +/-1.4 or -0.2 percent to +2.6 percent. If the interval
contains 0, then one does not have sufficient statistical evidence to conclude at the 90 percent confidence
level that the actual change is different from zero. Estimated changes shown in the text are statistically
significant unless otherwise noted. For a monthly total, the estimated coefficient of variation is given. The
Data Inquiries Media Inquiries
Economic Indicators Division, Wholesale Indicator Branch Public Information Office
301-763-6856 301-763-3030
eid.wholesale.indicator.branch@census.gov pio@census.gov
resulting confidence interval is the estimated monthly total ± 1.753 × CV × (the estimated monthly total). The
Census Bureau recommends that individuals using estimates in this report incorporate this information into
their analyses, as sampling error could affect the conclusions drawn from the estimates.
Nonsampling error encompasses all other factors that contribute to the total error of a sample survey
estimate. This type of error can occur because of nonresponse, insufficient coverage of the universe of
wholesale businesses, mistakes in the recording and coding of data, model error, and other errors of
collection, response, coverage, or processing. Although nonsampling error is not measured directly, the
Census Bureau employs quality control procedures throughout the process to minimize this type of error.
Description of the Survey
The Census Bureau conducts the Monthly Wholesale Trade Survey to provide national estimates of monthly
sales, end-of-month inventories, and inventories-to-sales ratios by kind of business for wholesale firms located
in the United States. Specifically, the MWTS covers wholesale merchants who sell goods on their own account
and include such businesses as wholesale merchants or jobbers, industrial distributors, exporters, and
importers. Sales offices and branches maintained by manufacturing, refining, or mining firms for the purpose
of marketing their products are not covered in this report. Also excluded is NAICS Industry Group 4251:
Wholesale Electronic Markets and Agents and Brokers.
The MWTS sample was selected using a stratified, one-stage design with strata defined by kind of business
(e.g., Automotive, Furniture, Lumber, etc.) and annual sales size. The sample includes firms of all sizes and is
updated on a quarterly basis to account for new wholesale firms, deaths, and other changes to the wholesale
universe. Each month, letters are mailed to employer firms selected in a probability sample of approximately
4,200. For surveyed companies, approximately 54.7 percent provided data for this reporting period, resulting
in a total quantity response rate of 60.3 percent for sales and 62.1 percent for inventories.
Monthly sales and inventories estimates are obtained by summing weighted data (either reported or
imputed). The monthly estimates are benchmarked to annual survey estimates and are adjusted for seasonal
variation and trading day differences. Individuals who use estimates in this report to create new estimates
should cite the Census Bureau as the source of only the original estimates. Additional information on the
MWTS can be found on the Census Bureau website at: .
The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure
avoidance protection of the confidential source data (Project No. P-7503922, Disclosure Review Board (DRB)
approval number: CBDRB-FY26-005).
Data Inquiries Media Inquiries
Economic Indicators Division, Wholesale Indicator Branch Public Information Office
301-763-6856 301-763-3030
eid.wholesale.indicator.branch@census.gov pio@census.gov
RESOURCES
API
The Census Bureau’s application programming interface lets developers create custom apps to reach new
users and makes key demographic, socio-economic and housing statistics more accessible than ever before.
FRED Mobile App
Receive the latest updates on the nation’s key economic indicators by downloading the
FRED App for both Apple and Android
devices. FRED, the signature database of the Federal Reserve Bank of St. Louis, now
incorporates the Census Bureau’s 13 economic indicators.
###
* The 90 percent confidence interval includes zero. There is insufficient evidence to conclude that the actual change is different from zero.
Data Inquiries Media Inquiries
Economic Indicators Division, Wholesale Indicator Branch Public Information Office
301-763-6856 301-763-3030
eid.wholesale.indicator.branch@census.gov pio@census.gov
Table 1. Estimates of Monthly Sales, Inventories, and Inventories/Sales Ratios of Merchant Wholesalers, Except Manufacturers' Sales Branches and
Offices
[Total sales and inventories estimates are shown in millions of dollars. Estimates are based on data from the Monthly Wholesale Trade Survey.]
Sales Inventories
Inventories/Sales Ratios
NAICS1 Monthly Percent change Monthly Percent change
Kind of Business Feb. Jan. Feb. Feb./ Jan./ Feb. 26/ Feb. Jan. Feb. Feb./ Jan./ Feb. 26/ Feb. Jan. Feb.
code
2026 2026 2025 Jan. Dec. Feb. 25 2026 2026 2025 Jan. Dec. Feb. 25 2026 2026 2025
(p) (r) (r) (p) (r) (r) (p) (r) (r)
Adjusted2
42 U.S. Total 751,874 731,766 691,261 2.7 1.1 8.8 919,577 911,902 903,141 0.8 -0.3 1.8 1.22 1.25 1.31
423 .Durable 376,727 361,896 332,728 4.1 2.0 13.2 576,277 571,972 567,051 0.8 0.2 1.6 1.53 1.58 1.70
4231 ..Automotive 52,297 51,923 53,005 0.7 3.0 -1.3 88,932 88,652 91,811 0.3 -0.6 -3.1 1.70 1.71 1.73
4232 ..Furniture 9,492 9,092 8,663 4.4 -1.7 9.6 17,018 16,960 17,583 0.3 1.6 -3.2 1.79 1.87 2.03
4233 ..Lumber 17,918 17,467 17,920 2.6 0.0 0.0 30,634 30,531 32,176 0.3 -1.0 -4.8 1.71 1.75 1.80
4234 ..Prof. equip. 61,939 59,584 53,749 4.0 2.3 15.2 64,788 64,296 63,903 0.8 1.1 1.4 1.05 1.08 1.19
42343 ...Comp. equip. 32,931 31,538 27,029 4.4 7.7 21.8 23,584 23,509 24,537 0.3 0.5 -3.9 0.72 0.75 0.91
4235 ..Metals 20,576 19,024 17,575 8.2 -0.6 17.1 39,327 39,662 38,734 -0.8 -1.2 1.5 1.91 2.08 2.20
4236 ..Electrical 102,237 94,403 79,472 8.3 4.9 28.6 90,086 88,773 80,010 1.5 1.6 12.6 0.88 0.94 1.01
4237 ..Hardware 22,704 21,717 21,196 4.5 0.9 7.1 45,469 45,178 44,672 0.6 -0.9 1.8 2.00 2.08 2.11
4238 ..Machinery 56,138 54,964 52,978 2.1 -1.3 6.0 156,692 155,664 155,924 0.7 0.1 0.5 2.79 2.83 2.94
4239 ..Misc. Durable 33,426 33,722 28,170 -0.9 1.3 18.7 43,331 42,256 42,238 2.5 1.1 2.6 1.30 1.25 1.50
424 .Nondurable 375,147 369,870 358,533 1.4 0.3 4.6 343,300 339,930 336,090 1.0 -1.1 2.1 0.92 0.92 0.94
4241 ..Paper 7,895 8,042 7,961 -1.8 3.9 -0.8 7,840 7,775 8,275 0.8 -0.1 -5.3 0.99 0.97 1.04
4242 ..Drugs 106,092 104,373 98,619 1.6 -3.0 7.6 99,528 99,191 94,222 0.3 -3.0 5.6 0.94 0.95 0.96
4243 ..Apparel 13,903 13,380 13,632 3.9 -6.1 2.0 28,918 28,781 28,091 0.5 0.7 2.9 2.08 2.15 2.06
4244 ..Groceries 80,883 80,722 77,371 0.2 0.8 4.5 57,010 57,096 55,317 -0.2 -0.5 3.1 0.70 0.71 0.71
4245 ..Farm products 22,103 22,782 20,356 -3.0 7.8 8.6 26,012 24,483 27,497 6.2 -2.1 -5.4 1.18 1.07 1.35
4246 ..Chemicals3 13,696 13,513 12,834 1.4 -1.0 6.7 14,276 14,199 14,538 0.5 -0.7 -1.8 1.04 1.05 1.13
4247 ..Petroleum 80,977 77,968 81,125 3.9 2.1 -0.2 26,474 25,168 25,084 5.2 3.2 5.5 0.33 0.32 0.31
4248 ..Alcohol 15,466 15,617 15,250 -1.0 0.7 1.4 24,578 24,403 25,683 0.7 -3.5 -4.3 1.59 1.56 1.68
4249 ..Misc. Nondur. 34,132 33,473 31,385 2.0 2.6 8.8 58,664 58,834 57,383 -0.3 0.2 2.2 1.72 1.76 1.83
Not Adjusted Sales to date
2026 2025
42 U.S. Total 678,789 682,429 623,614 -0.5 -8.9 8.8 928,097 918,951 910,884 1.0 0.0 1.9 1,361,218 1,273,396
423 .Durable 339,670 334,902 299,592 1.4 -9.4 13.4 574,711 565,671 564,945 1.6 0.7 1.7 674,572 607,968
4231 ..Automotive 47,904 47,925 48,500 0.0 -8.8 -1.2 89,555 87,677 92,454 2.1 -0.6 -3.1 95,829 97,500
4232 ..Furniture 8,590 8,428 7,823 1.9 -14.3 9.8 16,814 16,909 17,372 -0.6 2.9 -3.2 17,018 16,332
4233 ..Lumber 15,768 15,336 15,770 2.8 -3.4 0.0 30,879 30,134 32,433 2.5 1.8 -4.8 31,104 31,733
4234 ..Prof. equip. 54,816 54,341 47,407 0.9 -16.1 15.6 64,334 63,846 63,392 0.8 2.1 1.5 109,157 95,504
42343 ...Comp. equip. 27,827 28,100 22,704 -1.0 -14.7 22.6 23,372 23,227 24,267 0.6 3.2 -3.7 55,927 46,114
4235 ..Metals 19,691 18,739 16,784 5.1 7.5 17.3 39,130 39,622 38,502 -1.2 -2.2 1.6 38,430 34,314
4236 ..Electrical 90,684 88,739 70,174 2.2 -5.5 29.2 89,906 88,418 79,290 1.7 1.8 13.4 179,423 145,938
4237 ..Hardware 20,116 19,046 18,780 5.6 -5.4 7.1 45,060 43,958 44,315 2.5 -0.9 1.7 39,162 38,015
4238 ..Machinery 50,580 49,907 47,733 1.3 -18.0 6.0 156,222 153,485 155,456 1.8 0.7 0.5 100,487 94,919
4239 ..Misc. Durable 31,521 32,441 26,621 -2.8 -5.6 18.4 42,811 41,622 41,731 2.9 1.8 2.6 63,962 53,713
424 .Nondurable 339,119 347,527 324,022 -2.4 -8.3 4.7 353,386 353,280 345,939 0.0 -1.0 2.2 686,646 665,428
4241 ..Paper 7,248 7,769 7,292 -6.7 -0.8 -0.6 7,911 7,814 8,341 1.2 -1.5 -5.2 15,017 15,072
4242 ..Drugs 93,467 98,841 87,081 -5.4 -16.3 7.3 98,135 100,580 92,903 -2.4 -5.4 5.6 192,308 183,113
4243 ..Apparel 13,361 12,042 13,100 11.0 -6.5 2.0 28,455 28,695 27,501 -0.8 3.2 3.5 25,403 25,940
4244 ..Groceries 73,037 76,847 69,943 -5.0 -5.6 4.4 55,927 56,811 54,266 -1.6 -1.8 3.1 149,884 144,288
4245 ..Farm products 20,843 23,784 19,155 -12.4 0.0 8.8 31,579 31,338 33,271 0.8 -5.0 -5.1 44,627 41,481
4246 ..Chemicals 12,778 12,972 11,936 -1.5 -1.5 7.1 14,276 14,199 14,538 0.5 -0.7 -1.8 25,750 24,391
4247 ..Petroleum 74,985 73,992 74,878 1.3 0.5 0.1 27,030 25,218 25,561 7.2 3.9 5.7 148,977 150,970
4248 ..Alcohol 12,852 12,259 12,673 4.8 -33.1 1.4 23,841 23,378 24,887 2.0 0.5 -4.2 25,111 25,032
4249 ..Misc. Nondur. 30,548 29,021 27,964 5.3 -3.4 9.2 66,232 65,247 64,671 1.5 5.0 2.4 59,569 55,141
Footnotes:
p
Preliminary estimate.
r
Revised estimate.
1
For a full description of the NAICS codes used in this table, see the 2017 NAICS manual or .
2
Except where indicated, sales and inventories estimates are adjusted for seasonal variation. Estimates of sales are also adjusted for trading day differences and moving holidays. Estimates of inventories are also
adjusted for trading day differences. See Table 3 for the combined adjustment factors. Adjusted sales-to-date estimates are not tabulated.
3
No significant seasonal pattern for this NAICS code was detected in the latest annual review of the seasonal adjustment for inventories. Consequently, the "Adjusted" inventories estimates are equal to the "Not
Adjusted" estimates.
Data adjusted for seasonality but not price changes. Explanations of confidence intervals and sampling variability can be found on our website at
.
Source: U.S. Census Bureau, Monthly Wholesale Trade Survey, April 9, 2026, Project No. P-7503922 / Approval CBDRB-FY26-005.
Table 2. Estimated Measures of Sampling Variability of Monthly Wholesale Sales and Inventory Estimates
[Estimates are shown as percents and are based on data from the Monthly Wholesale Trade Survey.]
Standard
Coefficient of variation for error for
Coefficient of variation for monthly total Standard error for monthly total
total percent
change
NAICS Ratio of two consecutive Current month to current
Kind of Business Preliminary estimates Final estimates Sales to date Current year
code months month last year
sales to date
to previous
Current Previous year sales to
Sales Inv. Sales Inv. Sales Inv. Sales Inv. date
year year
42 U.S. Total 1.4 2.1 1.3 2.0 0.2 0.2 0.6 0.6 1.4 1.3 0.5
423 .Durable 2.3 2.8 2.3 2.7 0.3 0.2 0.9 0.9 2.3 1.9 0.7
4231 ..Automotive 4.1 5.8 4.3 5.7 0.6 0.3 0.9 1.5 4.2 4.3 1.0
4232 ..Furniture 8.6 12.4 8.8 12.2 1.7 0.3 2.9 4.7 8.7 8.0 3.0
4233 ..Lumber 4.4 5.1 4.1 5.3 0.8 0.6 1.7 1.5 4.2 3.9 1.4
4234 ..Prof. equip. 3.6 5.0 3.6 5.0 1.1 0.3 1.8 1.1 3.5 3.6 1.6
42343 ...Comp. equip. 4.7 2.4 5.3 2.7 1.6 0.5 2.7 0.8 4.9 4.4 2.4
4235 ..Metals 5.2 7.2 5.5 7.4 0.9 0.5 2.1 2.2 5.3 4.9 1.6
4236 ..Electrical 4.7 7.2 4.5 6.8 0.6 0.5 1.3 3.0 4.6 4.0 1.2
4237 ..Hardware 5.4 8.8 5.4 8.7 0.8 0.3 1.3 1.3 5.4 5.3 1.1
4238 ..Machinery 3.7 3.4 4.0 3.4 1.1 0.3 1.9 0.9 3.8 3.1 1.9
4239 ..Misc. Durable 10.9 6.4 9.2 5.3 1.5 1.6 4.2 2.2 10.0 7.1 3.2
424 .Nondurable 1.3 1.8 1.2 1.8 0.3 0.2 0.5 0.6 1.2 1.4 0.5
4241 ..Paper 4.2 6.8 4.6 6.9 0.9 0.7 1.7 0.7 4.4 4.7 1.1
4242 ..Drugs 2.0 3.3 2.1 3.2 0.2 0.2 0.3 0.6 2.0 1.9 0.4
4243 ..Apparel 6.8 6.6 6.1 6.5 1.8 0.3 2.4 0.6 6.4 7.1 1.8
4244 ..Groceries 3.4 4.7 3.4 4.6 0.3 0.5 0.9 2.0 3.4 3.3 0.8
4245 ..Farm products 5.0 6.0 4.9 6.3 1.3 1.3 2.4 1.8 4.9 5.7 2.2
4246 ..Chemicals 6.0 9.9 5.8 10.2 0.7 0.9 2.5 1.5 5.9 5.6 2.4
4247 ..Petroleum 2.8 2.4 3.0 3.2 0.7 0.8 1.6 2.1 2.9 3.1 1.7
4248 ..Alcohol 7.6 13.4 9.4 13.3 2.0 0.4 1.3 1.6 8.4 8.8 1.0
4249 ..Misc. Nondur. 5.7 6.8 6.3 6.9 2.4 1.0 2.5 1.4 5.9 6.3 2.2
Note:
Z = Estimates round to zero.
Estimated measures of sampling variability are based on estimates not adjusted for seasonal variation, trading day differences, or moving holidays. Additional information
on confidentiality protection, sampling error, nonsampling error, sample design, and definitions may be found at
.
Data adjusted for seasonality but not price changes. Explanations of confidence intervals and sampling variability can be found on our website at
.
Source: U.S. Census Bureau, Monthly Wholesale Trade Survey, April 9, 2026, Project No. P-7503922 / Approval CBDRB-FY26-005.
1
Table 3. Combined Adjustment Factors for Monthly Wholesale Sales and Inventory Estimates
[Combined adjustment factors are computed using the Census Bureau's X-13 ARIMA-SEATS program and are based on data from the Monthly Wholesale
Trade Survey.]
NAICS Kind of Sales Inventories
code Business 2026 2025 2026 2025
Mar. Feb.r Jan.r Dec. Nov. Feb.r Mar. Feb.r Jan.r Dec. Nov. Feb.r
2
42 U.S. Total 1.046 0.907 0.930 1.032 0.941 0.906 1.009 1.010 1.009 1.008 1.009 1.009
423 .Durable 1.054 0.901 0.923 1.039 0.934 0.901 1.001 0.997 0.989 0.986 0.996 0.995
4231 ..Automotive 1.074 0.916 0.923 1.043 0.954 0.915 1.006 1.007 0.989 0.989 1.016 1.007
4232 ..Furniture 1.022 0.905 0.927 1.063 0.964 0.903 0.988 0.988 0.997 0.985 1.001 0.988
4233 ..Lumber 1.026 0.880 0.878 0.909 0.870 0.880 1.030 1.008 0.987 0.959 0.949 1.008
4234 ..Prof. equip. 1.053 0.885 0.912 1.112 0.935 0.882 0.984 0.993 0.993 0.984 1.010 0.992
42343 ...Comp. equip. 1.043 0.845 0.891 1.125 0.937 0.840 0.977 0.991 0.988 0.962 1.008 0.989
4235 ..Metals 1.095 0.957 0.985 0.911 0.869 0.955 0.997 0.995 0.999 1.009 0.983 0.994
4236 ..Electrical 1.032 0.887 0.940 1.044 0.999 0.883 0.990 0.998 0.996 0.994 0.996 0.991
4237 ..Hardware 1.011 0.886 0.877 0.936 0.874 0.886 1.010 0.991 0.973 0.973 0.981 0.992
4238 ..Machinery 1.072 0.901 0.908 1.093 0.855 0.901 1.005 0.997 0.986 0.980 1.001 0.997
4239 ..Misc. Durable 1.065 0.943 0.962 1.033 0.965 0.945 0.994 0.988 0.985 0.978 0.994 0.988
424 .Nondurable 1.035 0.908 0.940 1.023 0.950 0.908 1.025 1.031 1.042 1.042 1.029 1.031
4241 ..Paper 1.022 0.918 0.966 1.012 0.935 0.916 1.001 1.009 1.005 1.019 0.996 1.008
4242 ..Drugs 1.013 0.881 0.947 1.098 0.924 0.883 0.978 0.986 1.014 1.040 1.015 0.986
4243 ..Apparel 1.045 0.961 0.900 0.904 0.979 0.961 0.957 0.984 0.997 0.972 0.965 0.979
4244 ..Groceries 1.020 0.903 0.952 1.016 0.966 0.904 0.987 0.981 0.995 1.008 1.037 0.981
4245 ..Farm products 1.065 0.943 1.044 1.126 1.050 0.941 1.139 1.214 1.280 1.319 1.324 1.210
4246 ..Chemicals3 1.044 0.933 0.960 0.965 0.897 0.930 1.000 1.000 1.000 1.000 1.000 1.000
4247 ..Petroleum 1.021 0.926 0.949 0.964 0.966 0.923 1.039 1.021 1.002 0.995 0.955 1.019
4248 ..Alcohol 0.993 0.831 0.785 1.181 0.980 0.831 1.006 0.970 0.958 0.920 0.999 0.969
4249 ..Misc. Nondur. 1.200 0.895 0.867 0.921 0.874 0.891 1.124 1.129 1.109 1.058 0.973 1.127
Footnotes:
r
Revised factors.
1
Combined factors for sales include the effects of seasonal variation, trading day differences, and moving holidays. Combined factors for inventories include the
effects of seasonal variation and trading day differences.
2
Adjusted sales and inventories estimates for detailed kind-of-business levels in Table 1 are computed by dividing each "Not Adjusted" estimate by the combined
adjustment factor for the corresponding kind of business and month. Adjusted estimates for broad kind-of-business levels are obtained by summing adjusted
estimates at the appropriate detailed levels. Combined factors shown for broad kind-of-business levels may be used to approximate adjusted estimates at these
levels, but the resulting estimates may differ slightly from the published estimates.
3
No significant seasonal pattern for this NAICS code was detected in the latest annual review of the seasonal adjustment for inventories. Therefore, the combined
adjustment factors for inventories are set to one for this NAICS code.
Note:
The seasonal adjustment factors shown are estimates derived from a model that uses sample survey data as input. Therefore, these estimates may contain
sampling error and nonsampling error. Additional information on the general form of the model and the X-13 ARIMA-SEATS program may be found at
.
Data adjusted for seasonality but not price changes. Explanations of confidence intervals and sampling variability can be found on our website at
.
Source: U.S. Census Bureau, Monthly Wholesale Trade Survey, April 9, 2026, Project No. P-7503922 / Approval CBDRB-FY26-005.
```