10-month forward price of Rotterdam coal (USD/tonne) - Netherlands - FSR - Daily
This series is part of the dataset: Forward Rotterdam coal prices
Download Full Dataset (.xlsx)Latest updates. In European derivatives markets, the 10-month forward price of Rotterdam coal stood at 112.264 USD/tonne on 22 June 2026, compared to 113.413 on 19 June. This marks a decrease of 1.01 percent.
Sample. There are 3,775 data points overall in the daily time series shown in the figure above. The period covered by the series is from January 2012 to June 2026.
History. Here are some simple statistics computed on the entire sample: the forward price was equal on average to 95.920 USD/tonne; it reached its maximum of 353.011 on 2 March 2022; it hit a trough of 38.385 on 16 February 2016.
Latest values
| Date | Value - USD/tonne |
|---|---|
| 2026-06-18 | 111.536 |
| 2026-06-19 | 113.413 |
| 2026-06-22 | 112.264 |
Hint. Our metadata often contain references to the sources of the time-series data shown on FetchSeries. You can use these references to search for additional information needed in your research.
Not for investment purposes. Data series and other information available on this web site are not suitable for investment purposes or as a basis for making financial decisions. Users should ask for expert advice and perform their own independent due diligence before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | 10-month forward price of Rotterdam coal |
| Country | Netherlands |
| Economic concept | Price |
| Data type | Forward price |
| Seasonally adjusted | No |
| Deflation method | Not applicable |
| Rescaling | None |
| Measure type | Level |
| Frequency | Daily |
| Unit | USD/tonne |
| 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 | Not available |
| FSR temporal aggregation code | LD1 |
Series in the same data set
Discover the other time series included in this data set.