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Mfg, Income, Expenditures
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GDP
Corp Profit
Retail
Unemployment
UI Claims
Payroll
Producer Prices
Inflation/CPI
Inflation (core)
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Q1 2025
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US Corporate, After-Tax Profits-Growth-Quarter Year Ago
US Corporate Profits
rose
8.4% in Q1 (vs. Q1 2024), to $3.60 Trillion/yr
Released: 26-Jun-25 | Next Release: 25-Sep-25
Q1 2025
8.4%
Q4 2024
12.1%
Change
-3.7%
1 Year
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3 Years
Click to Enlarge
5 Years
Click to Enlarge
Corporate profits represents the portion of the total income earned from current production that is accounted for by U.S. corporations. The estimates of corporate profits are an integral part of the national income and product accounts (NIPAs), a set of accounts prepared by the Bureau of Economic Analysis (BEA) that provides a logical and consistent framework for presenting statistics on U.S. economic activity.

View Full Release from U.S. Bureau of Economic Analysis
Source: U.S. Bureau of Economic Analysis
©theFinancials.com
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DateValue
01-Dec-20190.041
01-Mar-2020-0.141
01-Jun-2020-0.197
01-Sep-20200.107
01-Dec-20200.041
01-Mar-20210.281
01-Jun-20210.705
01-Sep-20210.267
01-Dec-20210.248
01-Mar-20220.152
01-Jun-20220.077
01-Sep-20220.023
01-Dec-2022-0.014
01-Mar-2023-0.051
01-Jun-2023-0.078
01-Sep-20230.001
01-Dec-20230.086
01-Mar-20240.1
01-Jun-20240.142
01-Sep-20240.092
01-Dec-20240.121
01-Mar-20250.084
US Corporate, After-Tax Profits-Growth-Quarter Year Ago
Data Series Details
Last File Update:
26-Jun-2025
Frequency:
Quarterly
Start Date:
01-Dec-2019
End Date:
01-Mar-2025
Length:
6 years
# of Records:
22
Data Download
CSV
US Corporate, After-Tax Profits-Growth-Quarter Year Ago
US Corporate Profit Growth figures reflect the growth in after tax profits for the current quarter compared with the same quarter one year ago.

Total After-Tax Profits are seasonally adjusted at annual rates and exclude inventory valuation and capital consumption adjustments.
Durable Goods
Productivity
Pers Income
Disp Income
Personal Saving
Spending
Core Spending
Construction
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Apr 2025
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About
US Durable Goods New Orders - Seasonally Adjusted
Durable Goods Total New Orders
fell
6.3% in Apr, the largest drop in 10 mos
Released: 03-Jun-25 | Next Release: 03-Jul-25
Apr 2025
-6.3%
Mar 2025
9.2%
Change
-15.5%
1 Year
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3 Years
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5 Years
Click to Enlarge
Full Report:
The Manufacturers' Shipments, Inventories, and Orders (M3) survey provides broad-based, monthly statistical data on economic conditions in the domestic manufacturing sector. The survey measures current industrial activity and provides an indication of future business trends.

View Full Release from USCB
Source: USCB
©theFinancials.com
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DateValue
01-Mar-2020205020
01-Apr-2020167502
01-May-2020192605
01-Jun-2020207474
01-Jul-2020231914
01-Aug-2020232933
01-Sep-2020237786
01-Oct-2020242098
01-Nov-2020245247
01-Dec-2020248307
01-Jan-2021257242
01-Feb-2021246261
01-Mar-2021249467
01-Apr-2021247644
01-May-2021255529
01-Jun-2021257663
01-Jul-2021258846
01-Aug-2021262317
01-Sep-2021261353
01-Oct-2021261728
01-Nov-2021270039
01-Dec-2021273281
01-Jan-2022277490
01-Feb-2022262494
01-Mar-2022264258
01-Apr-2022265376
01-May-2022267533
01-Jun-2022273571
01-Jul-2022273203
01-Aug-2022273841
01-Sep-2022274399
01-Oct-2022276366
01-Nov-2022271403
01-Dec-2022285249
01-Jan-2023271061
01-Feb-2023270825
01-Mar-2023279837
01-Apr-2023283311
01-May-2023288857
01-Jun-2023301262
01-Jul-2023284282
01-Aug-2023283917
01-Sep-2023295365
01-Oct-2023280217
01-Nov-2023295403
01-Dec-2023295383
01-Jan-2024274229
01-Feb-2024279865
01-Mar-2024282096
01-Apr-2024282737
01-May-2024282987
01-Jun-2024264139
01-Jul-2024289454
14-Aug-2024289557
01-Oct-2024286757
01-Nov-2024284712
01-Dec-2024276103
01-Jan-2025286089
01-Feb-2025289449
01-Mar-2025315659
01-Apr-2025296193
US Durable Goods New Orders - Seasonally Adjusted
Data Series Details
Last File Update:
03-Jun-2025
Frequency:
Monthly
Start Date:
01-Mar-2020
End Date:
01-Apr-2025
Length:
5 years
# of Records:
61
Data Download
CSV
US Durable Goods New Orders - Seasonally Adjusted
Total US durable goods new orders, seasonaly adjusted.

This report is compiled from results of the U.S. Census Bureau's Manufacturers' Shipments, Inventories, and Orders (M3) survey. This survey provides statistics on manufacturers' value of shipments, new orders (net of cancellations), end-of-month order backlog (unfilled orders), end-of-month total inventory (at current cost or market value), and inventories by stage of fabrication (materials and supplies, work-in-process, and finished goods). The M3 includes approximately 4,300 reporting units. Units may be divisions of diversified large companies, large homogenous companies, or single-unit manufacturers in 89 industry categories. Due to the small monthly sample, these 89 categories have been combined into 65 publication levels. The survey methodology assumes that the month-to-month changes of the total operations of those companies in the monthly survey effectively represent the month-to-month movements of all establishments that make up the category. The current coverage levels in the survey show that reported data in the monthly survey represent approximately 60 percent of the shipments estimates at the total manufacturing level. Data published represent manufacturing in a calendar month. The data collection is based on a voluntary survey authorized by Title 13 of the United States Code.

The data presented in this release are based on data obtained from a panel of 4,300 reporting units and provide an indication of the activity within the manufacturing sector. The results differ from what would be obtained from a complete enumeration of all manufacturing companies. In addition, a different panel of 4,300 companies would yield different results. The M3 panel is comprised of companies with $500 million or more in shipments and a limited number of smaller companies. From a statistical perspective, the panel is not a probability sample; therefore, the sampling errors that are normally provided with sample surveys cannot be measured. Nonsampling errors are attributable to many sources. The use of company or divisional reports to estimate the monthly change for establishments is one source of nonsampling error. The use of primarily large companies to represent the month-to-month movement of all companies is another potential source. Any corrections will be published in the full report. Corrections received after the full report will be released in the next month's advance report. Any revisions made later than two months will be reflected in the annual benchmark publication.
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