ArcelorMittal (MT) Other Accumulated Expenses (2009 - 2025)
ArcelorMittal (MT) reported Other Accumulated Expenses of -$176 million for Q4 2025, compared with -$132 million a year earlier.
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Analysis
ArcelorMittal (MT) Other Accumulated Expenses (2009 - 2025) Analysis & Trends
Dating back to Q2 2009, ArcelorMittal's Other Accumulated Expenses record includes 13 quarters.
- By year, Other Accumulated Expenses came in at -$132 million in FY2024, -$70 million in FY2023 and -$19 million in FY2022.
- The Q4 2025 figure ranks as the lowest quarterly Other Accumulated Expenses since Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 186.21 Bn | 152.34 Bn | - |
| 2 | Southern Copper | 170.20 Bn | 149.06 Bn | 2.90 Bn |
| 3 | Newmont | 127.93 Bn | 96.10 Bn | 4.03 Bn |
| 4 | Ternium | 111.02 Bn | 76.07 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.81 Bn | 99.96 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 97.22 Bn | 97.22 Bn | 2.43 Bn |
| 7 | Barrick Mining | 71.84 Bn | 56.58 Bn | 2.90 Bn |
| 8 | Nucor | 56.10 Bn | 46.64 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 53.80 Bn | 34.82 Bn | - |
| 10 | AngloGold Ashanti | 50.01 Bn | 39.68 Bn | 1.70 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -176.00 Mn |
| Dec 31, 2024 | -132.00 Mn |
| Dec 31, 2023 | -70.00 Mn |
| Dec 31, 2022 | -19.00 Mn |
| Dec 31, 2020 | 7.00 Mn |
| Dec 31, 2019 | 7.00 Mn |
| Dec 31, 2018 | 421.00 |
| Dec 31, 2017 | -2.86 Bn |
| Dec 31, 2016 | 115.00 Mn |
| Jun 30, 2016 | 122.00 Mn |
| Dec 31, 2015 | 146.00 Mn |
| Dec 31, 2014 | 182.00 Mn |
| Jun 30, 2009 | -2.62 Bn |
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();