ArcelorMittal (AMSYF) EBT (2009 - 2026)
ArcelorMittal's EBT was $862 million in Q2 2026, down 59.2% from $2.11 billion a year earlier but up 20.2% from the prior quarter.
ArcelorMittal (AMSYF) EBT (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, ArcelorMittal's EBT was $2.08 billion through Jun 30, 2026, down 48.9% year-over-year; for FY2025, it came in at $3.6 billion, up 23.6% from FY2024.
- EBT shows a five-year compound annual growth rate of 27.1% (FY2020 to FY2025).
- In earlier years, EBT was $2.92 billion in FY2024 (+131.3%), $1.26 billion in FY2023 (-88.8%), $11.26 billion in FY2022 (-37.6%) and $18.03 billion in FY2021.
- Quarterly EBT has moved between -$3.44 billion (Q4 2023) and $4.61 billion (Q4 2021) over five years.
- Compared with a year earlier, EBT was higher in 1 of the last six quarters, with an average decline of 0.3%.
- The best year-over-year quarter for EBT over five years was Q4 2021 (growth of 179.7%); the worst was Q4 2022 (a decline of 95.8%).
- Per Business Quant data, AMSYF's EBT in the three quarters before Q2 2026 was $717 million (Q1 2026), -$8 million (Q4 2025) and $505 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -77.00 Mn |
| Jun 30, 2026 | 862.00 Mn |
| Mar 31, 2026 | 717.00 Mn |
| Dec 31, 2025 | -8.00 Mn |
| Sep 30, 2025 | 505.00 Mn |
| Jun 30, 2025 | 2.11 Bn |
| Mar 31, 2025 | 991.00 Mn |
| Dec 31, 2024 | 343.00 Mn |
| Sep 30, 2024 | 614.00 Mn |
| Jun 30, 2024 | 787.00 Mn |
| Mar 31, 2024 | 1.17 Bn |
| Dec 31, 2023 | -3.44 Bn |
| Sep 30, 2023 | 1.23 Bn |
| Jun 30, 2023 | 2.14 Bn |
| Mar 31, 2023 | 1.33 Bn |
| Dec 31, 2022 | 192.00 Mn |
| Sep 30, 2022 | 1.43 Bn |
| Jun 30, 2022 | 4.84 Bn |
| Mar 31, 2022 | 4.80 Bn |
| Dec 31, 2021 | 4.78 Bn |
ArcelorMittal EBT API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ebt&ticker=AMSYF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "ticker": "AMSYF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebt&ticker=AMSYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();