ArcelorMittal (AMSYF) Short term Debt (2009 - 2026)
ArcelorMittal's Short term Debt was $11.73 billion in Q2 2026, up 269.6% from $3.17 billion a year earlier and up 328.0% from the prior quarter.
ArcelorMittal (AMSYF) Short term Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, Short term Debt at ArcelorMittal came in at $2.74 billion, down 71.9% from FY2024.
- Short term Debt shows a five-year compound annual growth rate of -25.1% (FY2020 to FY2025).
- In earlier years, Short term Debt was $9.76 billion in FY2024 (+321.9%), $2.31 billion in FY2023 (-78.3%), $10.63 billion in FY2022 and $812.1 million in FY2021 (-93.0%).
- The Q2 2026 figure marks the highest quarterly Short term Debt since Q4 2016.
- Compared with a year earlier, Short term Debt was higher in six of the last eight quarters, with growth averaging 88.2%.
- The best year-over-year quarter for Short term Debt over five years was Q4 2024 (growth of 321.9%); the worst was Q4 2021 (a decline of 93.0%).
- Per Business Quant data, AMSYF's Short term Debt in the three quarters before Q2 2026 was $2.74 billion (Q1 2026), $2.74 billion (Q4 2025) and $4.38 billion (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.72 Bn |
| Jun 30, 2026 | 2.69 Bn |
| Mar 31, 2026 | 2.74 Bn |
| Dec 31, 2025 | 2.74 Bn |
| Sep 30, 2025 | 4.38 Bn |
| Jun 30, 2025 | 3.17 Bn |
| Mar 31, 2025 | 3.46 Bn |
| Dec 31, 2024 | 2.75 Bn |
| Sep 30, 2024 | 2.36 Bn |
| Jun 30, 2024 | 2.36 Bn |
| Mar 31, 2024 | 1.87 Bn |
| Dec 31, 2023 | 2.31 Bn |
| Sep 30, 2023 | 2.31 Bn |
| Jun 30, 2023 | 1.81 Bn |
| Mar 31, 2023 | 2.83 Bn |
| Dec 31, 2022 | 2.58 Bn |
| Sep 30, 2022 | 2.58 Bn |
| Jun 30, 2022 | 2.72 Bn |
| Mar 31, 2022 | 2.41 Bn |
| Dec 31, 2021 | 1.91 Bn |
ArcelorMittal Short term Debt 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=short-term-debt&ticker=AMSYF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=AMSYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();