ArcelorMittal (MT) Asset Utilization Ratio (2009 - 2026)
ArcelorMittal's (MT) quarterly Asset Utilization Ratio came in at 0.64 in Q2 2026, little changed on a YoY basis from 0.64 in Q2 2025, and up 0.6% quarter-over-quarter from 0.63 in Q1 2026.
ArcelorMittal (MT) Asset Utilization Ratio (2009 - 2026) Analysis & Trends
ArcelorMittal (MT) has reported Asset Utilization Ratio for 18 consecutive years, with 0.64 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Asset Utilization Ratio changed 0.07% year-over-year to 0.64; the trailing twelve-month figure through Jun 2026 stood at 0.64 (changed 0.07% YoY), and the FY2025 full-year result was 0.66, down 3.73% from the prior year.
- Asset Utilization Ratio rose to 0.64 in Q2 2026 per MT's latest filing, from 0.63 in the prior quarter.
- Across five years, Asset Utilization Ratio topped out at 1.25 in Q1 2022 and bottomed at 0.62 in Q3 2025.
- Historically, Asset Utilization Ratio has averaged 0.77 across 5 years, with a median of 0.7 in 2024.
- The sharpest annual moves came in 2022 and 2023: Asset Utilization Ratio surged 90.0% in 2022, then slumped 38.25% in 2023.
- Over 5 years, Asset Utilization Ratio stood at 0.86 in 2022, then decreased by 15.35% to 0.73 in 2023, then declined by 5.99% to 0.68 in 2024, then declined by 8.7% to 0.62 in 2025, then rose by 1.94% to 0.64 in 2026.
- According to Business Quant data, Asset Utilization Ratio over the past three periods registered 0.64, 0.63, and 0.62 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 186.21 Bn | 152.34 Bn | - | - |
| 2 | Southern Copper | 170.20 Bn | 149.06 Bn | 2.90 Bn | 0.69 |
| 3 | Newmont | 127.93 Bn | 96.10 Bn | 4.03 Bn | 0.45 |
| 4 | Ternium | 111.02 Bn | 76.07 Bn | 941.02 Mn | 0.66 |
| 5 | Freeport-Mcmoran | 103.81 Bn | 99.96 Bn | 2.19 Bn | 0.44 |
| 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 | 0.39 |
| 8 | Nucor | 56.10 Bn | 46.64 Bn | 2.03 Bn | 0.99 |
| 9 | ArcelorMittal | 53.80 Bn | 34.82 Bn | - | 0.64 |
| 10 | AngloGold Ashanti | 50.01 Bn | 39.68 Bn | 1.70 Bn | 0.76 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.64 |
| Mar 31, 2026 | 0.63 |
| Dec 31, 2025 | 0.62 |
| Sep 30, 2025 | 0.62 |
| Jun 30, 2025 | 0.64 |
| Mar 31, 2025 | 0.67 |
| Dec 31, 2024 | 0.68 |
| Sep 30, 2024 | 0.68 |
| Jun 30, 2024 | 0.70 |
| Mar 31, 2024 | 0.71 |
| Dec 31, 2023 | 0.73 |
| Sep 30, 2023 | 0.75 |
| Jun 30, 2023 | 0.77 |
| Mar 31, 2023 | 0.81 |
| Dec 31, 2022 | 0.86 |
| Sep 30, 2022 | 0.89 |
| Jun 30, 2022 | 0.87 |
| Mar 31, 2022 | 0.87 |
| Dec 31, 2021 | 0.86 |
| Sep 30, 2021 | 0.81 |
ArcelorMittal Asset Utilization Ratio 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=asset-utilization-ratio&ticker=MT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=MT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();