New orders for US-manufactured durable goods jumped by 7.9% from the previous month to $346 billion in April 2026, after an upwardly revised 1.3% rise in the prior month and largely beating forecasts of a 3.5% advance. This marked the strongest increase in new orders since May 2025, mainly reflecting higher demand for transportation equipment (+21.5%), particularly nondefense aircraft and parts (+165.9%); and capital goods (21%). Orders also increased for fabricated metal products (3.5%); primary metals (1.9%) and machinery (0.5%), but fell for computer and electronic products (-0.7%). Excluding transportation, new orders rose by 1.1%, the same pace as in March; while excluding defense, they surged by 8.1%, after a 0.3% decline previously. Meanwhile, orders for non-defense capital goods excluding aircraft, a closely watched proxy for business spending plans, fell by 1.1%, following a 3.9% rise in the prior month. source: U.S. Census Bureau
Durable Goods Orders in the United States increased 7.90 percent in April of 2026 over the previous month. Durable Goods Orders in the United States averaged 0.37 percent from 1992 until 2026, reaching an all time high of 26.40 percent in July of 2014 and a record low of -21.20 percent in August of 2014. This page provides the latest reported value for - United States Durable Goods Orders - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news. United States Durable Goods Orders - data, historical chart, forecasts and calendar of releases - was last updated on May of 2026.
Durable Goods Orders in the United States increased 7.90 percent in April of 2026 over the previous month. Durable Goods Orders in the United States is expected to be 0.30 percent by the end of this quarter, according to Trading Economics global macro models and analysts expectations. In the long-term, the United States Durable Goods Orders is projected to trend around 1.10 percent in 2027 and 0.50 percent in 2028, according to our econometric models.