ArcelorMittal (MT) EBITDA (2009 - 2024)
ArcelorMittal's (MT) quarterly EBITDA came in at $2.1 billion in Q2 2026, up 10.97% on a YoY basis from $1.9 billion in Q2 2025, and up 22.93% quarter-over-quarter from $1.7 billion in Q1 2026.
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Analysis
ArcelorMittal (MT) EBITDA (2009 - 2024) Analysis & Trends
ArcelorMittal (MT) has reported EBITDA for 18 consecutive years, with $2.1 billion the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EBITDA rose 10.97% year-over-year to $2.1 billion; the trailing twelve-month figure through Jun 2026 stood at $6.8 billion (up 2.53% YoY), and the FY2025 full-year result was $683.0 million, up 0.74% from the prior year.
- EBITDA improved to $2.1 billion in Q2 2026 per MT's latest filing, from $1.7 billion in the prior quarter.
- Across five years, EBITDA topped out at $5.2 billion in Q2 2022 and bottomed at $1.3 billion in Q4 2022.
- Historically, EBITDA has averaged $2.2 billion across 5 years, with a median of $1.9 billion in 2024.
- The widest YoY moves for EBITDA: up 56.69% in 2022, down 75.1% in 2022.
- Over 5 years, EBITDA stood at $1.3 billion in 2022, then climbed by 15.58% to $1.5 billion in 2023, then advanced by 13.76% to $1.7 billion in 2024, then declined by 3.69% to $1.6 billion in 2025, then grew by 29.57% to $2.1 billion in 2026.
- According to Business Quant data, EBITDA over the past three periods registered $2.1 billion, $1.7 billion, and $1.6 billion for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 186.21 Bn | 152.34 Bn | - | - |
| 2 | Southern Copper | 170.20 Bn | 149.06 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Newmont | 127.93 Bn | 96.10 Bn | 4.03 Bn | 1.61 Bn |
| 4 | Ternium | 111.02 Bn | 76.07 Bn | 941.02 Mn | 722.41 Mn |
| 5 | Freeport-Mcmoran | 103.81 Bn | 99.96 Bn | 2.19 Bn | 2.53 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 | 3.29 Bn |
| 8 | Nucor | 56.10 Bn | 46.64 Bn | 2.03 Bn | 2.01 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, 2024 | 1.68 Bn |
| Mar 31, 2024 | 1.71 Bn |
| Dec 31, 2023 | -1.17 Bn |
| Sep 30, 2023 | 1.87 Bn |
| Jun 30, 2023 | 2.61 Bn |
| Mar 31, 2023 | 1.82 Bn |
| Dec 31, 2022 | 1.36 Bn |
| Sep 30, 2022 | 2.28 Bn |
| Jun 30, 2022 | 5.16 Bn |
| Mar 31, 2022 | 5.08 Bn |
| Sep 30, 2021 | 5.94 Bn |
| Jun 30, 2021 | 5.05 Bn |
| Jun 30, 2020 | 486.00 Mn |
| Mar 31, 2020 | 510.00 Mn |
| Dec 31, 2019 | 97.00 Mn |
| Sep 30, 2019 | 1.06 Bn |
| Jun 30, 2019 | 1.56 Bn |
| Mar 31, 2019 | 1.65 Bn |
| Dec 31, 2018 | 1.17 Bn |
| Sep 30, 2018 | 2.73 Bn |
API Access
ArcelorMittal EBITDA 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=ebitda&ticker=MT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();