Earnings Release • Apr 11, 2024
Earnings Release
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Its operating results are depicted in the table below:
| Production ratios | Unit | Period | ||
|---|---|---|---|---|
| Q1 2023 | Q4 2023 | Q1 2024 | ||
| Coal segment | ||||
| (a+b) Total coal production: | mi llio n t on s |
3.38 | 3.39 | 3.13 |
| a) Coking coal production | 2.66 | 2.69 | 2.40 | |
| b) Steam coal production | 0.72 | 0.70 | 0.73 | |
| (a+b) Total coal sales: | 3.53 | 3.36 | 3.06 | |
| a) Coking coal sales | 2.80 | 2.64 | 2.59 | |
| including internal sales | 1.04 | 1.18 | 1.13 | |
| b) Steam coal sales | 0.73 | 0.72 | 0.47 | |
| Coke segment | ||||
| Total coke production | mi to llio ns n |
0.77 | 0.87 | 0.83 |
| Coke sales | 0.84 | 0.79 | 0.99 |
The operating results of the coal segment in Q1 2024 were as follows:
incl.: internal sales were approx. 1.13 million tons, down approx. 4.1% compared to Q4 2023 and up approx. 9.5% compared to Q1 2023;
The operating results of the coke segment in Q1 2024 were as follows:
Coke segment2
o the prices of blast-furnace coke in the European market in Q4 2023 were USD 350 per ton, down by approx. 5% compared to Q3 2023,
Data source: Platts, Coke & Anthracite Market Report, polskirynekwegla.pl
1 JSW sets prices with its customers on the basis of benchmark prices based on the daily prices of Australian premium hard coking coal grades, in most cases by calculating their mean values by using two methods:
- the Nippon Steel method – a quarterly benchmark price calculated as the average of the first two months of the current quarter and the last month of the previous quarter,
- the Q-1 method – quarterly benchmark prices calculated on the basis of the average prices in the previous quarter;
the above means that the average price of coking coal in a given quarter is influenced by prices over five months (from the previous quarter and the first two months of the current quarter)
2Coke prices are set at the turn of each quarter to reflect the market terms in negotiations. The optimal approach is to compare the prices obtained in a given quarter with the average price in the previous quarter.
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