2-month forward price of natural gas (USD/MMBtu) - United States - FSR - Daily
This series is part of the dataset: Forward natural gas prices in the US
Download Full Dataset (.xlsx)Latest updates. In US derivatives markets, the 2-month forward price of natural gas was 3.127 USD/MMBtu on 27 October 2026, versus 3.134 on 26 October 2026. This constitutes a decrease of 0.22 percent.
Sample. In this daily series, there are a total of 3,867 records. The series covers the time span stretching from January 2012 to October 2026.
History. Here's a peek at some summary statistics calculated on the whole sample: the forward price had a mean of 3.304 USD/MMBtu; it achieved a maximum of 9.651 USD/MMBtu on 22 August 2022; it reached its lowest level of 1.556 USD/MMBtu on 25 June 2020.
Latest values
| Date | Value - USD/MMBtu |
|---|---|
| 2026-10-23 | 3.08600 |
| 2026-10-26 | 3.13400 |
| 2026-10-27 | 3.12700 |
Suggestion. Our metadata often include links to the original sources of the time-series data shown on FetchSeries. You can use these links to search for additional information needed in your research.
Not for investment purposes. Data and analyses collected and published on FetchSeries are not suitable for investment purposes or any other financial decision. Users should obtain expert advice and do their own independent due diligence before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | 2-month forward price of natural gas |
| 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/MMBtu |
| Source | FetchSeries Research (FSR); estimates from FSR energy-market model |
| Source type | Data research lab |
| Data licence | Creative Commons Attribution 4.0 International (CC BY 4.0) + FetchSeries disclaimers |
| Other information | Not available |
| FSR temporal aggregation code | LD1 |
Series in the same data set
Discover the other time series included in this data set.