ArcelorMittal (MT) Inventory (2009 - 2026)
ArcelorMittal's (MT) quarterly Inventory came in at $19.3 billion in Q2 2026, up 0.82% on a YoY basis from $19.1 billion in Q2 2025, and up 3.09% quarter-over-quarter from $18.7 billion in Q1 2026.
ArcelorMittal (MT) Inventory (2009 - 2026) Analysis & Trends
ArcelorMittal (MT) has reported Inventory for 18 consecutive years, with $19.3 billion the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Inventory rose 0.82% year-over-year to $19.3 billion; the trailing twelve-month figure through Jun 2026 stood at $19.3 billion (up 0.82% YoY), and the FY2025 full-year result was $18.6 billion, up 12.65% from the prior year.
- Inventory grew to $19.3 billion in Q2 2026 per MT's latest filing, from $18.7 billion in the prior quarter.
- Across five years, Inventory topped out at $23.3 billion in Q2 2022 and bottomed at $16.5 billion in Q4 2024.
- Historically, Inventory has averaged $19.2 billion across 5 years, with a median of $18.9 billion in 2023.
- The sharpest annual moves came in 2022 and 2023: Inventory soared 67.61% in 2022, then declined 14.02% in 2023.
- Over 5 years, Inventory stood at $20.1 billion in 2022, then fell by 6.61% to $18.8 billion in 2023, then retreated by 12.04% to $16.5 billion in 2024, then rose by 12.65% to $18.6 billion in 2025, then gained by 3.73% to $19.3 billion in 2026.
- According to Business Quant data, Inventory over the past three periods registered $19.3 billion, $18.7 billion, and $18.6 billion for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 186.21 Bn | 152.34 Bn | - | 324.00 Mn |
| 2 | Southern Copper | 170.20 Bn | 149.06 Bn | 2.90 Bn | 1.06 Bn |
| 3 | Newmont | 127.93 Bn | 96.10 Bn | 4.03 Bn | 1.48 Bn |
| 4 | Ternium | 111.02 Bn | 76.07 Bn | 941.02 Mn | 4.40 Bn |
| 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 | 1.62 Bn |
| 7 | Barrick Mining | 71.84 Bn | 56.58 Bn | 2.90 Bn | 2.09 Bn |
| 8 | Nucor | 56.10 Bn | 46.64 Bn | 2.03 Bn | 6.02 Bn |
| 9 | ArcelorMittal | 53.80 Bn | 34.82 Bn | - | 19.28 Bn |
| 10 | AngloGold Ashanti | 50.01 Bn | 39.68 Bn | 1.70 Bn | 222.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.28 Bn |
| Mar 31, 2026 | 18.71 Bn |
| Dec 31, 2025 | 18.59 Bn |
| Sep 30, 2025 | 18.92 Bn |
| Jun 30, 2025 | 19.13 Bn |
| Mar 31, 2025 | 16.88 Bn |
| Dec 31, 2024 | 16.50 Bn |
| Sep 30, 2024 | 18.47 Bn |
| Jun 30, 2024 | 17.69 Bn |
| Mar 31, 2024 | 18.37 Bn |
| Dec 31, 2023 | 18.76 Bn |
| Sep 30, 2023 | 18.85 Bn |
| Jun 30, 2023 | 20.04 Bn |
| Mar 31, 2023 | 19.82 Bn |
| Dec 31, 2022 | 20.09 Bn |
| Sep 30, 2022 | 20.57 Bn |
| Jun 30, 2022 | 23.30 Bn |
| Mar 31, 2022 | 22.17 Bn |
| Dec 31, 2021 | 19.86 Bn |
| Sep 30, 2021 | 18.81 Bn |
ArcelorMittal Inventory 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=inventory&ticker=MT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=MT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();