ArcelorMittal (MT) Other Accumulated Expenses (2017 - 2026)
ArcelorMittal (MT) reported Other Accumulated Expenses of $22.4 billion for Q2 2026, down 5.1% from $23.6 billion a year earlier.
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Analysis
ArcelorMittal (MT) Other Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, ArcelorMittal posted Other Accumulated Expenses of $19.34 billion.
- By year, Other Accumulated Expenses came in at -$176 million in FY2024, -$132 million in FY2023, -$70 million in FY2022 and $532 million in FY2021.
- Five-year quarterly Other Accumulated Expenses spans a low of -$176 million in Q4 2024 and a high of $25.97 billion in Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nucor | 172.02 Bn | 161.79 Bn | 2.33 Bn |
| 2 | Rio Tinto | 168.15 Bn | 130.95 Bn | - |
| 3 | Southern Copper | 138.51 Bn | 113.33 Bn | 3.10 Bn |
| 4 | Rio Tinto | 134.73 Bn | 101.79 Bn | - |
| 5 | Newmont | 117.64 Bn | 82.96 Bn | 4.22 Bn |
| 6 | Ternium | 99.96 Bn | 72.72 Bn | 1.04 Bn |
| 7 | Agnico Eagle Mines | 89.22 Bn | 76.17 Bn | 2.15 Bn |
| 8 | Freeport-Mcmoran | 85.03 Bn | 81.69 Bn | 2.55 Bn |
| 9 | Barrick Mining | 63.01 Bn | 47.43 Bn | 2.71 Bn |
| 10 | ArcelorMittal | 47.78 Bn | 31.28 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.40 Bn |
| Dec 31, 2025 | 19.34 Bn |
| Jun 30, 2025 | 23.60 Bn |
| Dec 31, 2024 | -176.00 Mn |
| Jun 30, 2024 | 20.31 Bn |
| Dec 31, 2023 | -132.00 Mn |
| Jun 30, 2023 | 21.05 Bn |
| Dec 31, 2022 | -70.00 Mn |
| Jun 30, 2022 | 25.97 Bn |
| Dec 31, 2021 | 532.00 Mn |
| Dec 31, 2020 | -19.00 Bn |
| Jun 30, 2020 | 16.03 Bn |
| Dec 31, 2019 | 2.86 Bn |
| Jun 30, 2019 | 23.11 Bn |
| Dec 31, 2018 | -439.00 |
| Jun 30, 2018 | 22.71 Bn |
| Dec 31, 2017 | -823.00 |
API Access
ArcelorMittal Other Accumulated 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=other-accumulated-expenses&ticker=MT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=MT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();