Algoma Steel (ASTL) Selling, General & Administrative (2020 - 2026)
Algoma Steel (ASTL) reported Selling, General & Administrative of $26.9 million for the quarter ended Mar 31, 2026, down 13.8% from the prior quarter.
Algoma Steel (ASTL) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Algoma Steel's Selling, General & Administrative came in at $120.3 million; for the year ended Dec 31, 2025, it was $80.3 million, up 113.0% from the prior year.
- Selling, General & Administrative has a five-year compound annual growth rate of 13.4% (years ended Dec 2020 to Dec 2025).
- By year, Selling, General & Administrative came in at $37.7 million in the year ended Dec 31, 2024, $75.16 million in the year ended Mar 31, 2023 (-27.0%), $103 million in the year ended Mar 31, 2022 and $300,000 in the year ended Jun 30, 2021.
- Per Business Quant data, the three quarters before the quarter ended Mar 31, 2026 came in at $31.2 million (quarter ended Dec 31, 2025), $31.2 million (quarter ended Sep 30, 2025) and $31 million (quarter ended Jun 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | Algoma Steel | 455.41 Mn | 284.78 Mn | -91.52 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 26.90 Mn |
| Dec 31, 2025 | 31.20 Mn |
| Sep 30, 2025 | 31.20 Mn |
| Jun 30, 2025 | 31.00 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 | 28.00 Mn |
| Dec 31, 2021 | 18.90 Mn |
| Sep 30, 2021 | 23.36 Mn |
| Jun 30, 2021 | 26.70 Mn |
| Mar 31, 2021 | 32.50 Mn |
Algoma Steel Selling, General & Administrative 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=selling-general-and-administrative&ticker=ASTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ASTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();