ArcelorMittal (AMSYF) Accumulated Expenses (2009 - 2026)
ArcelorMittal's Accumulated Expenses came in at $5.32 billion for Q2 2026, down 29.8% from $7.58 billion a year earlier and down 23.4% from the prior quarter.
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Analysis
ArcelorMittal (AMSYF) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, ArcelorMittal's Accumulated Expenses was $5.17 billion, up 9.1% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $4.74 billion in FY2024 (-4.6%), $4.97 billion in FY2023 (+2.1%), $4.86 billion in FY2022 (+0.7%) and $4.83 billion in FY2021 (+15.1%).
- The five-year range for quarterly Accumulated Expenses is $4.74 billion (Q4 2024) to $7.58 billion (Q2 2025).
- Year-over-year, Accumulated Expenses increased in five of the last eight quarters, with growth averaging 6.2%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q2 2025 (growth of 39.0%), and the weakest in Q2 2026 (a decline of 29.8%).
- Business Quant data shows AMSYF's Accumulated Expenses at $6.94 billion (Q1 2026), $5.17 billion (Q4 2025) and $6.91 billion (Q3 2025) in the three quarters before Q2 2026.
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.37 Bn |
| Jun 30, 2026 | 5.32 Bn |
| Mar 31, 2026 | 6.94 Bn |
| Dec 31, 2025 | 5.17 Bn |
| Sep 30, 2025 | 6.91 Bn |
| Jun 30, 2025 | 6.05 Bn |
| Mar 31, 2025 | 6.66 Bn |
| Dec 31, 2024 | 4.74 Bn |
| Sep 30, 2024 | 5.76 Bn |
| Jun 30, 2024 | 4.67 Bn |
| Mar 31, 2024 | 5.89 Bn |
| Dec 31, 2023 | 4.97 Bn |
| Sep 30, 2023 | 5.83 Bn |
| Jun 30, 2023 | 4.88 Bn |
| Mar 31, 2023 | 6.69 Bn |
| Dec 31, 2022 | 4.86 Bn |
| Sep 30, 2022 | 6.56 Bn |
| Jun 30, 2022 | 5.04 Bn |
| Mar 31, 2022 | 7.49 Bn |
| Dec 31, 2021 | 4.83 Bn |
API Access
ArcelorMittal Accumulated Expenses 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=accumulated-expenses&ticker=AMSYF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AMSYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();