ArcelorMittal (MT) Accumulated Expenses (2009 - 2026)
ArcelorMittal's (MT) quarterly Accumulated Expenses came in at $5.3 billion in Q2 2026, down 29.83% on a YoY basis from $7.6 billion in Q2 2025, and down 23.37% quarter-over-quarter from $6.9 billion in Q1 2026.
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ArcelorMittal (MT) Accumulated Expenses (2009 - 2026) Analysis & Trends
ArcelorMittal (MT) has reported Accumulated Expenses for 18 consecutive years, with $5.3 billion the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Accumulated Expenses fell 29.83% year-over-year to $5.3 billion; the trailing twelve-month figure through Jun 2026 stood at $5.3 billion (down 29.83% YoY), and the FY2025 full-year result was $5.2 billion, up 9.08% from the prior year.
- Accumulated Expenses fell to $5.3 billion in Q2 2026 per MT's latest filing, from $6.9 billion in the prior quarter.
- Across five years, Accumulated Expenses topped out at $7.6 billion in Q2 2025 and bottomed at $4.7 billion in Q4 2024.
- Historically, Accumulated Expenses has averaged $6.1 billion across 5 years, with a median of $5.9 billion in 2023.
- The sharpest annual moves came in 2025 and 2026: Accumulated Expenses surged 38.98% in 2025, then retreated 29.83% in 2026.
- Over 5 years, Accumulated Expenses stood at $4.9 billion in 2022, then rose by 2.12% to $5.0 billion in 2023, then decreased by 4.61% to $4.7 billion in 2024, then grew by 9.08% to $5.2 billion in 2025, then gained by 2.96% to $5.3 billion in 2026.
- According to Business Quant data, Accumulated Expenses over the past three periods registered $5.3 billion, $6.9 billion, and $5.2 billion for Q2 2026, Q1 2026, and Q4 2025 respectively.
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 |
|---|---|
| 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 | 7.58 Bn |
| Mar 31, 2025 | 6.66 Bn |
| Dec 31, 2024 | 4.74 Bn |
| Sep 30, 2024 | 5.76 Bn |
| Jun 30, 2024 | 5.46 Bn |
| Mar 31, 2024 | 5.89 Bn |
| Dec 31, 2023 | 4.97 Bn |
| Sep 30, 2023 | 5.83 Bn |
| Jun 30, 2023 | 5.79 Bn |
| Mar 31, 2023 | 6.69 Bn |
| Dec 31, 2022 | 4.86 Bn |
| Sep 30, 2022 | 6.56 Bn |
| Jun 30, 2022 | 6.51 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();