Algoma Steel (ASTL) Non Operating Interest Expenses (2020 - 2026)
Algoma Steel's Non Operating Interest Expenses came in at $15.47 million for the quarter ended Jun 30, 2026, up 15.9% from $13.35 million a year earlier and up 34.5% from the prior quarter.
Algoma Steel (ASTL) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Algoma Steel reported Non Operating Interest Expenses of $62.77 million, down 33.5% year-over-year; for the year ended Dec 31, 2025, it came in at $51.6 million, up 159.3% from the prior year.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 1.5% (years ended Dec 2020 to Dec 2025).
- Going back by year, Non Operating Interest Expenses was $19.9 million in the year ended Dec 31, 2024, $13.55 million in the year ended Mar 31, 2023 (-72.1%), $48.6 million in the year ended Mar 31, 2022 (-10.2%) and $54.12 million in the year ended Mar 31, 2021 (+12.8%).
- The five-year range for quarterly Non Operating Interest Expenses is $11.5 million (the quarter ended Mar 31, 2026) to $18.8 million (the quarter ended Dec 31, 2025).
- Business Quant data shows ASTL's Non Operating Interest Expenses at $11.5 million (quarter ended Mar 31, 2026), $18.8 million (quarter ended Dec 31, 2025) and $17 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | - |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | - |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | -50.43 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 16.04 Mn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | -26.00 Mn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 36.00 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | -136.00 Mn |
| 10 | Algoma Steel | 437.57 Mn | 266.94 Mn | -91.52 Mn | 15.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.47 Mn |
| Mar 31, 2026 | 11.50 Mn |
| Dec 31, 2025 | 18.80 Mn |
| Sep 30, 2025 | 17.00 Mn |
| Jun 30, 2025 | 13.35 Mn |
| Mar 31, 2025 | 17.80 Mn |
| Sep 30, 2024 | 19.20 Mn |
| Jun 30, 2024 | 16.40 Mn |
| Mar 31, 2024 | 9.70 Mn |
| Dec 31, 2023 | 5.50 Mn |
| Sep 30, 2023 | 5.40 Mn |
| Jun 30, 2023 | 5.10 Mn |
| Mar 31, 2023 | 4.90 Mn |
| Dec 31, 2022 | 4.00 Mn |
| Sep 30, 2022 | 3.60 Mn |
| Jun 30, 2022 | 4.70 Mn |
| Mar 31, 2022 | 4.30 Mn |
| Dec 31, 2021 | 14.50 Mn |
| Sep 30, 2021 | 12.00 Mn |
| Jun 30, 2021 | 15.10 Mn |
Algoma Steel Non Operating Interest 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=non-operating-interest-expenses&ticker=ASTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=ASTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();