ArcelorMittal (AMSYF) Assets (2009 - 2026)
ArcelorMittal (AMSYF) reported Assets of $99.15 billion for Q2 2026, up 0.3% from $98.88 billion a year earlier and up 0.9% from the prior quarter.
Analysis
ArcelorMittal (AMSYF) Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, ArcelorMittal posted Assets of $97.7 billion, up 9.3% from FY2024.
- Assets has a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- By year, Assets came in at $89.39 billion in FY2024 (-4.8%), $93.92 billion in FY2023 (-0.7%), $94.55 billion in FY2022 (+4.5%) and $90.51 billion in FY2021 (+10.3%).
- The Q2 2026 figure ranks as the highest quarterly Assets since Q4 2014.
- Year over year, Assets has now increased in each of the last five quarters, with growth averaging 3.2% over the last eight quarters.
- The high point for year-over-year Assets in five years was Q1 2022 (growth of 16.6%); the low point was Q4 2024 (a decline of 4.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $98.27 billion (Q1 2026), $97.7 billion (Q4 2025) and $98.77 billion (Q3 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 98.28 Bn |
| Jun 30, 2026 | 99.15 Bn |
| Mar 31, 2026 | 98.27 Bn |
| Dec 31, 2025 | 97.70 Bn |
| Sep 30, 2025 | 98.77 Bn |
| Jun 30, 2025 | 98.88 Bn |
| Mar 31, 2025 | 91.45 Bn |
| Dec 31, 2024 | 89.39 Bn |
| Sep 30, 2024 | 93.17 Bn |
| Jun 30, 2024 | 90.85 Bn |
| Mar 31, 2024 | 91.95 Bn |
| Dec 31, 2023 | 93.92 Bn |
| Sep 30, 2023 | 93.74 Bn |
| Jun 30, 2023 | 95.42 Bn |
| Mar 31, 2023 | 95.26 Bn |
| Dec 31, 2022 | 94.55 Bn |
| Sep 30, 2022 | 91.22 Bn |
| Jun 30, 2022 | 97.03 Bn |
| Mar 31, 2022 | 97.50 Bn |
| Dec 31, 2021 | 90.51 Bn |
API Access
ArcelorMittal Assets 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=assets&ticker=AMSYF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "ticker": "AMSYF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=assets&ticker=AMSYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();