Algoma Steel (ASTL) Total Non-Current Liabilities (2021 - 2026)
Algoma Steel (ASTL) posted Total Non-Current Liabilities of $993.95 million for the quarter ended Jun 30, 2026, down 13.9% from $1.15 billion a year earlier and down 21.6% from the prior quarter.
Algoma Steel (ASTL) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
As of Dec 31, 2025, Algoma Steel's Total Non-Current Liabilities came in at $806.9 million, down 5.1% from the prior year.
- Annual Total Non-Current Liabilities shows a four-year compound annual growth rate of -0.2% (years ended Dec 2021 to Dec 2025).
- In prior years, Algoma Steel's Total Non-Current Liabilities was $850 million in the year ended Dec 31, 2024, $492.01 million in the year ended Mar 31, 2023 (-14.2%), $573.5 million in the year ended Mar 31, 2022 (-29.6%) and $814.99 million in the year ended Mar 31, 2021.
- Quarterly Total Non-Current Liabilities has run from a low of $808.44 million in the quarter ended Dec 31, 2025 to a high of $1.27 billion in the quarter ended Mar 31, 2026 over five years.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $1.27 billion (quarter ended Mar 31, 2026), $808.44 million (quarter ended Dec 31, 2025) and $1.05 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | -46.26 Bn |
| 2 | Southern Copper | 168.96 Bn | 147.82 Bn | 2.90 Bn | 9.29 Bn |
| 3 | Newmont | 123.37 Bn | 91.54 Bn | 4.03 Bn | 15.71 Bn |
| 4 | Ternium | 107.07 Bn | 72.12 Bn | 941.02 Mn | 3.99 Bn |
| 5 | Freeport-Mcmoran | 101.67 Bn | 97.82 Bn | 2.19 Bn | 26.27 Bn |
| 6 | Agnico Eagle Mines | 92.92 Bn | 92.92 Bn | 2.43 Bn | 7.26 Bn |
| 7 | Barrick Mining | 69.09 Bn | 53.83 Bn | 2.90 Bn | 14.06 Bn |
| 8 | Nucor | 53.61 Bn | 44.15 Bn | 2.03 Bn | 13.68 Bn |
| 9 | ArcelorMittal | 51.72 Bn | 32.74 Bn | - | 19.93 Bn |
| 10 | Algoma Steel | 440.72 Mn | 270.09 Mn | -91.52 Mn | 993.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 993.95 Mn |
| Mar 31, 2026 | 1.27 Bn |
| Dec 31, 2025 | 808.44 Mn |
| Sep 30, 2025 | 1.05 Bn |
| Jun 30, 2025 | 1.15 Bn |
| Mar 31, 2025 | 1.18 Bn |
| Dec 31, 2024 | 850.00 Mn |
| Sep 30, 2024 | 1.20 Bn |
| Jun 30, 2024 | 1.19 Bn |
| Mar 31, 2024 | 552.95 Mn |
| Dec 31, 2023 | 744.30 Mn |
| Sep 30, 2023 | 660.10 Mn |
| Jun 30, 2023 | 665.00 Mn |
| Mar 31, 2023 | 480.80 Mn |
| Dec 31, 2022 | 663.40 Mn |
| Sep 30, 2022 | 531.59 Mn |
| Jun 30, 2022 | 484.72 Mn |
| Mar 31, 2022 | 452.76 Mn |
| Dec 31, 2021 | 640.10 Mn |
| Sep 30, 2021 | 1.04 Bn |
Algoma Steel Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ASTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ASTL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=ASTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();