Algoma Steel (ASTL) Operating Expenses (2020 - 2026)
Algoma Steel's Operating Expenses came in at $9.76 million for the quarter ended Jun 30, 2026, down 82.7% from $56.26 million a year earlier and down 70.8% from the prior quarter.
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Analysis
Algoma Steel (ASTL) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Algoma Steel reported Operating Expenses of $124.06 million, down 33.4% year-over-year; for the year ended Dec 31, 2025, it came in at $151.38 million, up 104.1% from the prior year.
- Operating Expenses carries a five-year compound annual growth rate of 28.7% (years ended Dec 2020 to Dec 2025).
- Going back by year, Operating Expenses was $74.16 million in the year ended Dec 31, 2024, $75.16 million in the year ended Mar 31, 2023 (-42.0%), $129.5 million in the year ended Mar 31, 2022 and $300,000 in the year ended Jun 30, 2021.
- Business Quant data shows ASTL's Operating Expenses at $33.4 million (quarter ended Mar 31, 2026), $49.7 million (quarter ended Dec 31, 2025) and $31.2 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -780.00 Mn |
| 10 | Algoma Steel | 456.46 Mn | 285.83 Mn | -91.52 Mn | 9.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.76 Mn |
| Mar 31, 2026 | 33.40 Mn |
| Dec 31, 2025 | 49.70 Mn |
| Sep 30, 2025 | 31.20 Mn |
| Jun 30, 2025 | 56.26 Mn |
| Mar 31, 2025 | 30.90 Mn |
| Sep 30, 2024 | 36.70 Mn |
| Jun 30, 2024 | 29.20 Mn |
| Mar 31, 2024 | 32.10 Mn |
| Dec 31, 2023 | 28.50 Mn |
| Sep 30, 2023 | 31.00 Mn |
| Jun 30, 2023 | 23.40 Mn |
| Mar 31, 2023 | 25.00 Mn |
| Dec 31, 2022 | 21.70 Mn |
| Sep 30, 2022 | 21.78 Mn |
| Jun 30, 2022 | 28.40 Mn |
| Mar 31, 2022 | 33.00 Mn |
| Dec 31, 2021 | 31.20 Mn |
| Sep 30, 2021 | 28.36 Mn |
| Jun 30, 2021 | 29.60 Mn |
API Access
Algoma Steel 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=operating-expenses&ticker=ASTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=ASTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();