ArcelorMittal (MT) Enterprise Value (2009 - 2026)
ArcelorMittal (MT) posted Enterprise Value of $42.54 billion for Q2 2026, up 104.8% from $20.77 billion a year earlier and up 14.3% from the prior quarter.
ArcelorMittal (MT) Enterprise Value (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at ArcelorMittal was $26.86 billion, up 636.2% year-over-year; for FY2025, it came in at $31.17 billion, up 137.3% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- In prior years, ArcelorMittal's Enterprise Value was $13.13 billion in FY2024 (-22.9%), $17.04 billion in FY2023 (+27.0%), $13.42 billion in FY2022 (-44.2%) and $24.03 billion in FY2021 (+15.8%).
- The Q2 2026 figure stands as the highest quarterly Enterprise Value since Q1 2011.
- On a year-over-year basis, Enterprise Value has increased in each of the last five quarters, with growth averaging 50.5% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q4 2025, with growth of 137.3%; the weakest was Q2 2022, with a decline of 53.9%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $37.22 billion (Q1 2026), $31.17 billion (Q4 2025) and $24.12 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 169.27 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Rio Tinto | 143.19 Bn | 103.69 Bn | - |
| 4 | Newmont | 124.94 Bn | 92.94 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.70 Bn | 83.74 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.79 Bn | 83.42 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.30 Bn | 44.49 Bn | 2.90 Bn |
| 8 | Nucor | 59.72 Bn | 49.11 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.37 Bn | 27.39 Bn | - |
| 10 | AngloGold Ashanti | 46.39 Bn | 34.28 Bn | 1.70 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.54 Bn |
| Mar 31, 2026 | 37.22 Bn |
| Dec 31, 2025 | 31.17 Bn |
| Sep 30, 2025 | 24.12 Bn |
| Jun 30, 2025 | 20.77 Bn |
| Mar 31, 2025 | 18.95 Bn |
| Dec 31, 2024 | 13.13 Bn |
| Sep 30, 2024 | 18.48 Bn |
| Jun 30, 2024 | 14.44 Bn |
| Mar 31, 2024 | 19.22 Bn |
| Dec 31, 2023 | 17.04 Bn |
| Sep 30, 2023 | 16.00 Bn |
| Jun 30, 2023 | 17.62 Bn |
| Mar 31, 2023 | 20.11 Bn |
| Dec 31, 2022 | 13.42 Bn |
| Sep 30, 2022 | 15.42 Bn |
| Jun 30, 2022 | 14.61 Bn |
| Mar 31, 2022 | 25.98 Bn |
| Dec 31, 2021 | 24.03 Bn |
| Sep 30, 2021 | 30.42 Bn |
ArcelorMittal Enterprise Value 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=enterprise-value&ticker=MT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();