U.S. Retail Sales Ex Gas/Autos MoM

A monthly measure of U.S. retail and food-service sales that excludes gasoline stations and motor vehicle and parts dealers, used to assess underlying consumer demand.

Economic IndicatorsHigh volatilityRetail Sales Ex Gas/Autos MoMRetail Sales Excluding Gas and AutosRetail Sales Excluding Gasoline Stations and AutosRetail Sales Excluding Motor Vehicle Dealers and Gasoline Stations

Full explanation

U.S. Retail Sales Ex Gas/Autos MoM measures the monthly change in retail and food-service sales after removing gasoline stations and motor vehicle and parts dealers. It is designed to give a steadier view of consumer spending by excluding two categories that can be heavily affected by fuel prices, vehicle financing, incentives and supply conditions. The underlying figures are published by the U.S. Census Bureau in the Advance Monthly Retail Trade Survey / Monthly Retail Trade Survey and are commonly followed on a seasonally adjusted, current-dollar basis. Because the series is not adjusted for inflation, a rise can reflect higher volumes, higher prices, or both.

Why traders watch it

Traders watch this indicator because it is a timely gauge of U.S. household demand outside two volatile categories. Surprises can influence expectations for consumer spending, GDP growth, inflation pressure and Federal Reserve policy, with potential implications for the U.S. dollar, Treasury yields, equity-index futures and consumer-sensitive sectors.

Stronger vs weaker outcomes

A stronger-than-expected reading may suggest firmer underlying retail demand and could support expectations for resilient growth or stickier inflation. A weaker-than-expected reading may suggest softer discretionary spending, greater household caution or a weaker near-term consumption impulse outside autos and gasoline.

Typical volatility

High. The data are nominal, seasonally adjusted estimates and can be revised. Excluding autos and gasoline reduces some volatility but does not remove all price effects, changes in online spending patterns, holiday timing distortions or weather-related swings.

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