32-month forward price of gasoline (USD/gal) - United States - FSR - Daily
This series is part of the dataset: Forward gasoline prices in the US
Download Full Dataset (.xlsx)Latest updates. In US derivatives markets, the 32-month forward price of gasoline was 2.445 USD/gal on 21 September 2026, versus 2.443 on 18 September 2026. This represents a gain of 0.08 percent.
Sample. There are 3,841 records in the daily series displayed in the graph above. The time span covered by the series extends from January 2012 to September 2026.
History. Here’s a quick look at a few statistics we computed on the whole sample: the forward price was equal on average to 1.922 USD/gal; it hit a maximum of 2.675 on 14 September 2012; it registered a minimum of 0.835 on 21 April 2020.
Latest values
| Date | Value - USD/gal |
|---|---|
| 2026-09-17 | 2.405 |
| 2026-09-18 | 2.443 |
| 2026-09-21 | 2.445 |
Suggestion. Our metadata often include references to the original sources of the data we provide. You can use these references to search for additional information needed in your research.
Not for investment purposes. Financial data hosted on FetchSeries are not not supposed to be used for investment purposes or any other financial decision. Users should ask for professional advice and perform independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | 32-month forward price of gasoline |
| Country | United States |
| Economic concept | Price |
| Data type | Forward price |
| Seasonally adjusted | No |
| Deflation method | Not applicable |
| Rescaling | None |
| Measure type | Level |
| Frequency | Daily |
| Unit | USD/gal |
| Source | FetchSeries Research; calculations on market data |
| Source type | Data research lab |
| Data licence | Creative Commons Attribution 4.0 International (CC BY 4.0) + FetchSeries disclaimers |
| Other information | Refers to RBOB (Reformulated Blendstock for Oxygenate Blending) gasoline |
| FSR temporal aggregation code | LD1 |
Series in the same data set
Discover the other time series included in this data set.