ArcelorMittal (MT) Operating Leases (2017 - 2026)
ArcelorMittal's (MT) quarterly Operating Leases came in at $19.9 billion in Q2 2026, up 5.98% on a YoY basis from $18.8 billion in Q2 2025, and up 5.98% quarter-over-quarter from $18.8 billion in Q2 2025.
ArcelorMittal (MT) Operating Leases (2017 - 2026) Analysis & Trends
ArcelorMittal (MT) has reported Operating Leases for 10 consecutive years, with $19.9 billion the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Operating Leases rose 5.98% year-over-year to $19.9 billion; the trailing twelve-month figure through Jun 2026 stood at $19.9 billion (up 5.98% YoY), and the FY2024 full-year result was $16.3 billion, down 1.72% from the prior year.
- Operating Leases grew to $19.9 billion in Q2 2026 per MT's latest filing, from $18.8 billion in the prior quarter.
- Across five years, Operating Leases topped out at $19.9 billion in Q2 2026 and bottomed at $14.6 billion in Q2 2022.
- Historically, Operating Leases has averaged $16.7 billion across 5 years, with a median of $16.4 billion in 2023.
- The sharpest annual moves came in 2022 and 2025: Operating Leases retreated 21.66% in 2022, then advanced 15.8% in 2025.
- Over 5 years, Operating Leases stood at $15.0 billion in 2022, then increased by 10.39% to $16.6 billion in 2023, then decreased by 1.72% to $16.3 billion in 2024, then climbed by 15.57% to $18.8 billion in 2025, then rose by 5.98% to $19.9 billion in 2026.
- According to Business Quant data, Operating Leases over the past three periods registered $19.9 billion, $18.8 billion, and $16.3 billion for Q2 2026, Q2 2025, and Q4 2024 respectively.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.93 Bn |
| Jun 30, 2025 | 18.81 Bn |
| Dec 31, 2024 | 8.92 Bn |
| Jun 30, 2024 | 16.24 Bn |
| Dec 31, 2023 | 16.56 Bn |
| Jun 30, 2023 | 16.46 Bn |
| Dec 31, 2022 | 15.00 Bn |
| Jun 30, 2022 | 14.61 Bn |
| Dec 31, 2021 | 19.15 Bn |
| Dec 31, 2020 | 26.14 Bn |
| Jun 30, 2020 | 12.40 Bn |
| Dec 31, 2019 | 261.38 Mn |
| Jun 30, 2019 | 25.15 Bn |
| Dec 31, 2018 | 23.69 Bn |
| Jun 30, 2018 | 21.92 Bn |
| Dec 31, 2017 | 24.70 Bn |
ArcelorMittal Operating Leases 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=operating-leases&ticker=MT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=MT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();