ArcelorMittal (AMSYF) Exchange Rate Effect (2009 - 2026)
ArcelorMittal (AMSYF) posted Exchange Rate Effect of -$35 million for Q2 2026, compared with $302 million a year earlier.
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Analysis
ArcelorMittal (AMSYF) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Exchange Rate Effect at ArcelorMittal was -$24 million; for FY2025, it was $504 million.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of 25.3% (FY2020 to FY2025).
- In prior years, ArcelorMittal's Exchange Rate Effect was -$471 million in FY2024, $255 million in FY2023, -$158 million in FY2022 and -$55 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Exchange Rate Effect since Q4 2024.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was $14 million (Q1 2026), -$17 million (Q4 2025) and $14 million (Q3 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -16.00 Mn |
| Jun 30, 2026 | -35.00 Mn |
| Mar 31, 2026 | 14.00 Mn |
| Dec 31, 2025 | -17.00 Mn |
| Sep 30, 2025 | 14.00 Mn |
| Jun 30, 2025 | 302.00 Mn |
| Mar 31, 2025 | 205.00 Mn |
| Dec 31, 2024 | -347.00 Mn |
| Sep 30, 2024 | 147.00 Mn |
| Jun 30, 2024 | -81.00 Mn |
| Mar 31, 2024 | -190.00 Mn |
| Dec 31, 2023 | 128.00 Mn |
| Sep 30, 2023 | -85.00 Mn |
| Jun 30, 2023 | 64.00 Mn |
| Mar 31, 2023 | 148.00 Mn |
| Dec 31, 2022 | 656.00 Mn |
| Sep 30, 2022 | -451.00 Mn |
| Jun 30, 2022 | -367.00 Mn |
| Mar 31, 2022 | 4.00 Mn |
| Dec 31, 2021 | 13.00 Mn |
API Access
ArcelorMittal Exchange Rate Effect 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=exchange-rate-effect&ticker=AMSYF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=AMSYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();