13-month forward price of Richards Bay coal (USD/tonne) - South Africa - FSR - Daily
This series is part of the dataset: Forward Richards Bay coal prices
Download Full Dataset (.xlsx)Latest updates. In international coal derivatives markets, the 13-month forward price of Richards Bay coal was 126.204 USD/tonne on 12 October 2026, compared to 123.305 on 9 October. This constitutes an increase of 2.35 percent.
Sample. There are 3,856 records overall in the daily series presented in the figure above. The time range covered by the series goes from January 2012 to October 2026.
History. Take a look at a few summary statistics we computed on the whole sample: the forward price had a mean of 95.321 USD/tonne; it reached a maximum of 304.783 on 5 September 2022; it reached a minimum of 38.900 on 15 January 2016.
Latest values
| Date | Value - USD/tonne |
|---|---|
| 2026-10-08 | 123.407 |
| 2026-10-09 | 123.305 |
| 2026-10-12 | 126.204 |
Hint. We categorize time series into data sets and worksheets to make your life easier. If you navigate further down, you will find how we arranged further information related to the statistics found here.
Not for investment purposes. Any data shared on this web site are not meant for investment purposes or as a basis for making financial decisions. Users should seek professional advice and do their own independent due diligence before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | 13-month forward price of Richards Bay coal |
| Country | South Africa |
| 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.