32-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 32-month forward price of Rotterdam coal stood at 119.761 USD/tonne on 28 August 2026, compared to 119.434 on 27 August 2026. This constitutes a gain of 0.27 percent.
Sample. There are 3,825 observations in the daily time series shown in the plot above. The time range covered by the series extends from January 2012 to August 2026.
History. Here's a snapshot of some summary statistics we computed on the full sample: the forward price reached a maximum of 298.778 USD/tonne on 5 September 2022; it reached its minimum of 36.000 on 16 February 2016; it had a mean of 93.719.
Latest values
| Date | Value - USD/tonne |
|---|---|
| 2026-08-26 | 118.007 |
| 2026-08-27 | 119.434 |
| 2026-08-28 | 119.761 |
Tip. For our users' convenience, we categorize series into worksheets and datasets. By moving down the page, you will find how we arranged further material linked to the statistics found here.
Not for investment purposes. Any financial data hosted on this web site are not intended for investment purposes or any other financial decision. Users should obtain expert advice and do their own independent due diligence before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | 32-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.