ArcelorMittal (MT) Total Non-Current Liabilities (2009 - 2026)
ArcelorMittal (MT) reported Total Non-Current Liabilities of $19.93 billion for Q2 2026, up 6.0% from $18.81 billion a year earlier but down 43.5% from the prior quarter.
ArcelorMittal (MT) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, ArcelorMittal posted Total Non-Current Liabilities of $18.65 billion, up 14.6% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $16.27 billion in FY2024 (+1.2%), $16.08 billion in FY2023 (-2.9%), $16.56 billion in FY2022 (+10.4%) and $15 billion in FY2021 (-21.7%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $14.61 billion in Q2 2022 and a high of $36.43 billion in Q3 2025.
- Year over year, Total Non-Current Liabilities has now increased in each of the last eight quarters, with growth averaging 8.3% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2025 (growth of 15.8%); the low point was Q4 2021 (a decline of 21.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $35.28 billion (Q1 2026), $18.65 billion (Q4 2025) and $36.43 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 46.26 Bn |
| 2 | Southern Copper | 169.39 Bn | 148.18 Bn | 2.90 Bn | 9.29 Bn |
| 3 | Rio Tinto | 142.99 Bn | 103.49 Bn | - | 46.15 Bn |
| 4 | Newmont | 125.07 Bn | 93.08 Bn | 4.03 Bn | 15.38 Bn |
| 5 | Freeport-Mcmoran | 99.25 Bn | 83.29 Bn | 2.19 Bn | 26.27 Bn |
| 6 | Agnico Eagle Mines | 93.94 Bn | 83.57 Bn | 2.43 Bn | 7.26 Bn |
| 7 | Barrick Mining | 69.28 Bn | 44.48 Bn | 2.90 Bn | 23.61 Bn |
| 8 | Nucor | 59.24 Bn | 48.62 Bn | 2.03 Bn | 13.68 Bn |
| 9 | ArcelorMittal | 48.23 Bn | 27.25 Bn | - | 19.93 Bn |
| 10 | AngloGold Ashanti | 46.58 Bn | 34.47 Bn | 1.70 Bn | 3.14 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.93 Bn |
| Mar 31, 2026 | 37.30 Bn |
| Dec 31, 2025 | 18.65 Bn |
| Sep 30, 2025 | 38.50 Bn |
| Jun 30, 2025 | 18.81 Bn |
| Mar 31, 2025 | 35.10 Bn |
| Dec 31, 2024 | 16.27 Bn |
| Sep 30, 2024 | 34.56 Bn |
| Jun 30, 2024 | 16.24 Bn |
| Mar 31, 2024 | 33.18 Bn |
| Dec 31, 2023 | 16.08 Bn |
| Sep 30, 2023 | 33.39 Bn |
| Jun 30, 2023 | 16.46 Bn |
| Mar 31, 2023 | 36.22 Bn |
| Dec 31, 2022 | 16.56 Bn |
| Sep 30, 2022 | 33.68 Bn |
| Jun 30, 2022 | 14.61 Bn |
| Mar 31, 2022 | 37.30 Bn |
| Dec 31, 2021 | 15.00 Bn |
| Sep 30, 2021 | 34.04 Bn |
ArcelorMittal Total Non-Current 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-non-current-liabilities&ticker=MT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();