Algoma Steel (ASTL) Other Operating Expenses (2021 - 2025)
Algoma Steel's Other Operating Expenses was $500,000 in the quarter ended Dec 31, 2025.
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Analysis
Algoma Steel (ASTL) Other Operating Expenses (2021 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Other Operating Expenses at Algoma Steel came in at -$4.01 million.
- In earlier years, Other Operating Expenses was -$500,000 in the year ended Dec 31, 2024, -$4.47 million in the year ended Mar 31, 2023 and -$78.1 million in the year ended Mar 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | Algoma Steel | 437.57 Mn | 266.94 Mn | -91.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 500,000.00 |
| Sep 30, 2025 | -3.00 Mn |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | -4.40 Mn |
| Sep 30, 2024 | 5.40 Mn |
| Jun 30, 2024 | -2.50 Mn |
| Mar 31, 2024 | -3.40 Mn |
| Dec 31, 2023 | 6.20 Mn |
| Sep 30, 2023 | -700,000.00 |
| Jun 30, 2023 | -2.00 Mn |
| Mar 31, 2023 | 3.50 Mn |
| Dec 31, 2022 | -200,000.00 |
| Sep 30, 2022 | -3.83 Mn |
| Jun 30, 2022 | -4.10 Mn |
| Mar 31, 2022 | -44.50 Mn |
| Dec 31, 2021 | -33.60 Mn |
API Access
Algoma Steel Other Operating 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=other-operating-expenses&ticker=ASTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=ASTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();