ArcelorMittal (AMSYF) Total Debt (2009 - 2026)
ArcelorMittal (AMSYF) reported Total Debt of $23.45 billion for Q2 2026, up 70.8% from $13.73 billion a year earlier and up 71.4% from the prior quarter.
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Analysis
ArcelorMittal (AMSYF) Total Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, ArcelorMittal posted Total Debt of $13.41 billion, down 11.4% from FY2024.
- Total Debt has a five-year compound annual growth rate of -9.0% (FY2020 to FY2025).
- By year, Total Debt came in at $15.13 billion in FY2024 (+120.2%), $6.87 billion in FY2023 (-65.1%), $19.7 billion in FY2022 (+169.9%) and $7.3 billion in FY2021 (-65.9%).
- The Q2 2026 figure ranks as the highest quarterly Total Debt since Q4 2016.
- Year over year, Total Debt gained in seven of the last eight quarters, with growth averaging 34.2%.
- The high point for year-over-year Total Debt in five years was Q4 2022 (growth of 169.9%); the low point was Q4 2021 (a decline of 65.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.68 billion (Q1 2026), $13.41 billion (Q4 2025) and $14.87 billion (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.57 Bn |
| Jun 30, 2026 | 14.42 Bn |
| Mar 31, 2026 | 27.37 Bn |
| Dec 31, 2025 | 26.82 Bn |
| Sep 30, 2025 | 14.87 Bn |
| Jun 30, 2025 | 13.73 Bn |
| Mar 31, 2025 | 24.09 Bn |
| Dec 31, 2024 | 11.56 Bn |
| Sep 30, 2024 | 22.52 Bn |
| Jun 30, 2024 | 22.25 Bn |
| Mar 31, 2024 | 10.22 Bn |
| Dec 31, 2023 | 21.36 Bn |
| Sep 30, 2023 | 10.54 Bn |
| Jun 30, 2023 | 10.46 Bn |
| Mar 31, 2023 | 11.48 Bn |
| Dec 31, 2022 | 11.65 Bn |
| Sep 30, 2022 | 8.99 Bn |
| Jun 30, 2022 | 8.79 Bn |
| Mar 31, 2022 | 17.44 Bn |
| Dec 31, 2021 | 16.80 Bn |
API Access
ArcelorMittal Total Debt 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=total-debt&ticker=AMSYF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=AMSYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();