ArcelorMittal (AMSYF) Operating Expenses (2009 - 2026)
ArcelorMittal's Operating Expenses came in at -$780 million for Q2 2026, compared with -$697 million a year earlier.
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Analysis
ArcelorMittal (AMSYF) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, ArcelorMittal reported Operating Expenses of -$3.12 billion; for FY2025, it came in at -$339 million.
- Going back by year, Operating Expenses was -$154 million in FY2024, -$278 million in FY2023, -$317 million in FY2022 and -$265 million in FY2021.
- The five-year range for quarterly Operating Expenses is -$856 million (Q4 2025) to -$628 million (Q3 2022).
- Business Quant data shows AMSYF's Operating Expenses at -$749 million (Q1 2026), -$856 million (Q4 2025) and -$736 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 784.00 Mn |
| Jun 30, 2026 | 780.00 Mn |
| Mar 31, 2026 | 749.00 Mn |
| Dec 31, 2025 | 856.00 Mn |
| Sep 30, 2025 | 736.00 Mn |
| Jun 30, 2025 | 697.00 Mn |
| Mar 31, 2025 | 656.00 Mn |
| Dec 31, 2024 | 709.00 Mn |
| Sep 30, 2024 | 646.00 Mn |
| Jun 30, 2024 | 635.00 Mn |
| Mar 31, 2024 | 642.00 Mn |
| Dec 31, 2023 | 703.00 Mn |
| Sep 30, 2023 | 662.00 Mn |
| Jun 30, 2023 | 680.00 Mn |
| Mar 31, 2023 | 630.00 Mn |
| Dec 31, 2022 | 636.00 Mn |
| Sep 30, 2022 | 628.00 Mn |
| Jun 30, 2022 | 669.00 Mn |
| Mar 31, 2022 | 647.00 Mn |
| Dec 31, 2021 | 712.00 Mn |
API Access
ArcelorMittal Operating Expenses 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=operating-expenses&ticker=AMSYF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AMSYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();