ArcelorMittal (MT) Convertible Debt (2009 - 2026)
ArcelorMittal (MT) recorded Convertible Debt of -$1 million in Q2 2026, compared with $42 million a year earlier.
Analysis
ArcelorMittal (MT) Convertible Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, ArcelorMittal reported Convertible Debt of $50 million.
- Annual Convertible Debt has a five-year compound annual growth rate of -33.8% (FY2020 to FY2025).
- Across earlier years, Convertible Debt came in at -$82 million in FY2024, -$15 million in FY2023 and -$44 million in FY2022.
- The Q2 2026 figure is the lowest quarterly Convertible Debt since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 168.67 Bn | 147.46 Bn | 2.90 Bn |
| 3 | Rio Tinto | 143.05 Bn | 103.55 Bn | - |
| 4 | Newmont | 125.21 Bn | 93.22 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.11 Bn | 83.15 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 94.40 Bn | 84.03 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.42 Bn | 44.62 Bn | 2.90 Bn |
| 8 | Nucor | 59.25 Bn | 48.64 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.21 Bn | 27.23 Bn | - |
| 10 | AngloGold Ashanti | 46.83 Bn | 34.72 Bn | 1.70 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.00 Mn |
| Dec 31, 2025 | 50.00 Mn |
| Jun 30, 2025 | 42.00 Mn |
| Dec 31, 2024 | -82.00 Mn |
| Jun 30, 2024 | -82.00 Mn |
| Dec 31, 2023 | -15.00 Mn |
| Jun 30, 2023 | -10.00 Mn |
| Dec 31, 2022 | -44.00 Mn |
| Jun 30, 2022 | 37.00 Mn |
| Dec 31, 2020 | 392.00 Mn |
| Dec 31, 2019 | -929.00 Mn |
| Jun 30, 2019 | -90.00 Mn |
| Dec 31, 2018 | 809.00 Mn |
| Jun 30, 2018 | 308.00 Mn |
| Dec 31, 2017 | 171.00 Mn |
| Jun 30, 2010 | 634.00 Bn |
| Dec 31, 2009 | 617.00 Bn |
| Jun 30, 2009 | 603.00 Mn |
API Access
ArcelorMittal Convertible 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=convertible-debt&ticker=MT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "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=convertible-debt&ticker=MT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();