Algoma Steel (ASTL) Gains from Sales and Divestitures (2024 - 2026)
Algoma Steel's Gains from Sales and Divestitures was $216,878 in the quarter ended Jun 30, 2026, up 116.9% from the prior quarter.
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Analysis
Algoma Steel (ASTL) Gains from Sales and Divestitures (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Algoma Steel's Gains from Sales and Divestitures was $716,878 through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at $286,289, down 52.3% from the prior year.
- Gains from Sales and Divestitures shows a four-year compound annual growth rate of -38.3% (years ended Dec 2021 to Dec 2025).
- In earlier years, Gains from Sales and Divestitures was $600,000 in the year ended Dec 31, 2024, $75,694 in the year ended Mar 31, 2023 (-74.8%), $300,000 in the year ended Mar 31, 2022 (-84.8%) and $1.98 million in the year ended Mar 31, 2021.
- Per Business Quant data, ASTL's Gains from Sales and Divestitures in the three quarters before the quarter ended Jun 30, 2026 was $100,000 (quarter ended Mar 31, 2026), $200,000 (quarter ended Dec 31, 2025) and $200,000 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - |
| 10 | Algoma Steel | 455.41 Mn | 284.78 Mn | -91.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 216,877.58 |
| Mar 31, 2026 | 100,000.00 |
| Dec 31, 2025 | 200,000.00 |
| Sep 30, 2025 | 200,000.00 |
| Jun 30, 2024 | 1.10 Mn |
API Access
Algoma Steel Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=ASTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=ASTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();