ArcelorMittal (MT) Total Liabilities (2009 - 2026)
ArcelorMittal (MT) posted Total Liabilities of $42.33 billion for 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 (MT) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, ArcelorMittal's Total Liabilities came in at $41.17 billion, up 8.1% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In prior years, ArcelorMittal's 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 run from a low of $36.2 billion in Q3 2023 to a high of $42.41 billion in Q2 2025 over five years.
- On a year-over-year basis, Total Liabilities increased in seven of the last eight quarters, with growth averaging 6.6%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2025, with growth of 16.0%; the weakest was Q2 2023, with a decline of 7.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $41.06 billion (Q1 2026), $41.17 billion (Q4 2025) and $42.09 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 167.53 Bn | 146.32 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 145.19 Bn | 105.69 Bn | - | 61.08 Bn |
| 4 | Newmont | 125.76 Bn | 93.76 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 100.06 Bn | 84.10 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 94.12 Bn | 83.75 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 69.05 Bn | 44.25 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 59.59 Bn | 48.98 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 47.82 Bn | 26.84 Bn | - | 44.33 Bn |
| 10 | AngloGold Ashanti | 46.49 Bn | 34.38 Bn | 1.70 Bn | 6.60 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 40.98 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=MT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MT", "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=MT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();