ArcelorMittal (MT) Accumulated Expenses (2009 - 2026)
ArcelorMittal (MT) reported Accumulated Expenses of $5.32 billion for Q2 2026, down 29.8% from $7.58 billion a year earlier and down 23.4% from the prior quarter.
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Analysis
ArcelorMittal (MT) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, ArcelorMittal posted Accumulated Expenses of $5.17 billion, up 9.1% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $4.74 billion in FY2024 (-4.6%), $4.97 billion in FY2023 (+2.1%), $4.86 billion in FY2022 (+0.7%) and $4.83 billion in FY2021 (+15.1%).
- Five-year quarterly Accumulated Expenses spans a low of $4.74 billion in Q4 2024 and a high of $7.58 billion in Q2 2025.
- Year over year, Accumulated Expenses gained in five of the last eight quarters, with growth averaging 6.2%.
- The high point for year-over-year Accumulated Expenses in five years was Q2 2025 (growth of 39.0%); the low point was Q2 2026 (a decline of 29.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.94 billion (Q1 2026), $5.17 billion (Q4 2025) and $6.91 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 168.78 Bn | 147.56 Bn | 2.90 Bn |
| 3 | Rio Tinto | 142.98 Bn | 103.48 Bn | - |
| 4 | Newmont | 125.05 Bn | 93.06 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.05 Bn | 83.09 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 94.28 Bn | 83.92 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.33 Bn | 44.53 Bn | 2.90 Bn |
| 8 | Nucor | 59.26 Bn | 48.64 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.22 Bn | 27.24 Bn | - |
| 10 | AngloGold Ashanti | 46.69 Bn | 34.58 Bn | 1.70 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.32 Bn |
| Mar 31, 2026 | 6.94 Bn |
| Dec 31, 2025 | 5.17 Bn |
| Sep 30, 2025 | 6.91 Bn |
| Jun 30, 2025 | 6.05 Bn |
| Mar 31, 2025 | 6.66 Bn |
| Dec 31, 2024 | 4.74 Bn |
| Sep 30, 2024 | 5.76 Bn |
| Jun 30, 2024 | 4.67 Bn |
| Mar 31, 2024 | 5.89 Bn |
| Dec 31, 2023 | 4.97 Bn |
| Sep 30, 2023 | 5.83 Bn |
| Jun 30, 2023 | 4.88 Bn |
| Mar 31, 2023 | 6.69 Bn |
| Dec 31, 2022 | 4.86 Bn |
| Sep 30, 2022 | 6.56 Bn |
| Jun 30, 2022 | 5.04 Bn |
| Mar 31, 2022 | 7.49 Bn |
| Dec 31, 2021 | 4.83 Bn |
| Sep 30, 2021 | 7.53 Bn |
API Access
ArcelorMittal 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=accumulated-expenses&ticker=MT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=MT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();