ArcelorMittal (MT) EV to EBITDA (2009 - 2026)
ArcelorMittal's EV to EBITDA was 4.74 in FY2025, up 114.5% from 2.21 in FY2024.
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Analysis
ArcelorMittal (MT) EV to EBITDA (2009 - 2026) Analysis & Trends
From FY2009 onward, ArcelorMittal has reported EV to EBITDA for 16 years.
- The FY2025 figure marks the highest annual EV to EBITDA since FY2019.
- Per Business Quant data, EV to EBITDA in earlier years was 2.21 in FY2024 (-34.9%), 3.40 in FY2023 (+225.4%), 1.04 in FY2022 (-15.3%) and 1.23 in FY2021 (-69.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - |
| 2 | Southern Copper | 146.42 Bn | 121.15 Bn | 3.10 Bn |
| 3 | Rio Tinto | 139.98 Bn | 100.80 Bn | - |
| 4 | Newmont | 132.34 Bn | 97.49 Bn | 4.22 Bn |
| 5 | Agnico Eagle Mines | 100.36 Bn | 87.30 Bn | 2.15 Bn |
| 6 | Ternium | 99.86 Bn | 68.11 Bn | 1.04 Bn |
| 7 | Freeport-Mcmoran | 90.01 Bn | 74.05 Bn | 2.19 Bn |
| 8 | Barrick Mining | 72.53 Bn | 47.73 Bn | 2.90 Bn |
| 9 | Nucor | 56.81 Bn | 46.19 Bn | 2.03 Bn |
| 10 | ArcelorMittal | 48.91 Bn | 30.47 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.20 |
| Jun 30, 2026 | 7.32 |
| Mar 31, 2026 | 5.48 |
| Dec 31, 2025 | 4.60 |
| Sep 30, 2025 | 3.50 |
| Jun 30, 2025 | 2.98 |
| Mar 31, 2025 | 3.25 |
| Dec 31, 2024 | 2.17 |
| Sep 30, 2024 | 5.17 |
| Jun 30, 2024 | 3.53 |
| Mar 31, 2024 | 3.83 |
| Dec 31, 2023 | 3.32 |
| Sep 30, 2023 | 2.09 |
| Jun 30, 2023 | 2.19 |
| Mar 31, 2023 | 1.89 |
| Dec 31, 2022 | 0.97 |
| Sep 30, 2022 | 0.88 |
| Jun 30, 2022 | 0.69 |
| Mar 31, 2022 | 1.23 |
| Dec 31, 2021 | 1.39 |
API Access
ArcelorMittal EV to 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=ev-to-ebitda&ticker=MT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=MT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();