ArcelorMittal (AMSYF) Total Liabilities (2009 - 2026)
ArcelorMittal's Total Liabilities was $42.33 billion in Q2 2026, down 0.2% from $42.41 billion a year earlier but up 3.1% from the prior quarter.
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Analysis
ArcelorMittal (AMSYF) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at ArcelorMittal came in at $41.17 billion, up 8.1% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $38.1 billion in FY2024 (+0.7%), $37.85 billion in FY2023 (-1.6%), $38.48 billion in FY2022 (-1.8%) and $39.17 billion in FY2021 (-6.3%).
- Quarterly Total Liabilities has moved between $36.2 billion (Q3 2023) and $42.41 billion (Q2 2025) over five years.
- Compared with a year earlier, Total Liabilities was higher in seven of the last eight quarters, with growth averaging 6.6%.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2025 (growth of 16.0%); the worst was Q2 2023 (a decline of 7.6%).
- Per Business Quant data, AMSYF's Total Liabilities in the three quarters before Q2 2026 was $41.06 billion (Q1 2026), $41.17 billion (Q4 2025) and $42.09 billion (Q3 2025).
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Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 44.15 Bn |
| Jun 30, 2026 | 44.33 Bn |
| Mar 31, 2026 | 43.08 Bn |
| Dec 31, 2025 | 43.24 Bn |
| Sep 30, 2025 | 44.16 Bn |
| Jun 30, 2025 | 44.50 Bn |
| Mar 31, 2025 | 40.25 Bn |
| Dec 31, 2024 | 40.16 Bn |
| Sep 30, 2024 | 39.86 Bn |
| Jun 30, 2024 | 38.64 Bn |
| Mar 31, 2024 | 38.36 Bn |
| Dec 31, 2023 | 39.96 Bn |
| Sep 30, 2023 | 38.33 Bn |
| Jun 30, 2023 | 39.70 Bn |
| Mar 31, 2023 | 41.29 Bn |
| Dec 31, 2022 | 41.40 Bn |
| Sep 30, 2022 | 39.65 Bn |
| Jun 30, 2022 | 43.03 Bn |
| Mar 31, 2022 | 43.70 Bn |
| Dec 31, 2021 | 41.41 Bn |
API Access
ArcelorMittal Total Liabilities 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-liabilities&ticker=AMSYF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=AMSYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();