Algoma Steel (ASTL) Capital Expenditures (2020 - 2026)
Algoma Steel's Capital Expenditures was -$20.96 million in the quarter ended Jun 30, 2026, compared with -$91.66 million a year earlier.
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Analysis
Algoma Steel (ASTL) Capital Expenditures (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Algoma Steel's Capital Expenditures was $21.64 million through Jun 30, 2026, down 81.7% year-over-year; for the year ended Dec 31, 2025, it came in at -$235.11 million.
- In earlier years, Capital Expenditures was -$112.4 million in the year ended Dec 31, 2024, -$280.9 million in the year ended Mar 31, 2023, -$166.2 million in the year ended Mar 31, 2022 and $81.5 million in the year ended Mar 31, 2021.
- Quarterly Capital Expenditures has moved between -$91.66 million (the quarter ended Jun 30, 2025) and $73.7 million (the quarter ended Sep 30, 2025) over five years.
- Per Business Quant data, ASTL's Capital Expenditures in the three quarters before the quarter ended Jun 30, 2026 was $20.4 million (quarter ended Mar 31, 2026), -$51.5 million (quarter ended Dec 31, 2025) and $73.7 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 422.80 Mn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 719.00 Mn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | -431.28 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 1.10 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 | -1.19 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 571.00 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | -1.10 Bn |
| 10 | Algoma Steel | 437.57 Mn | 266.94 Mn | -91.52 Mn | -20.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -20.96 Mn |
| Mar 31, 2026 | 20.40 Mn |
| Dec 31, 2025 | -51.50 Mn |
| Sep 30, 2025 | 73.70 Mn |
| Jun 30, 2025 | -91.66 Mn |
| Mar 31, 2025 | 127.00 Mn |
| Sep 30, 2024 | 89.40 Mn |
| Jun 30, 2024 | -98.30 Mn |
| Mar 31, 2024 | 120.40 Mn |
| Dec 31, 2023 | -96.50 Mn |
| Sep 30, 2023 | -154.60 Mn |
| Jun 30, 2023 | 118.60 Mn |
| Mar 31, 2023 | -103.40 Mn |
| Dec 31, 2022 | 95.20 Mn |
| Sep 30, 2022 | -65.33 Mn |
| Jun 30, 2022 | 80.10 Mn |
| Mar 31, 2022 | -93.40 Mn |
| Dec 31, 2021 | -29.60 Mn |
| Sep 30, 2021 | -19.78 Mn |
| Jun 30, 2021 | 19.10 Mn |
API Access
Algoma Steel Capital Expenditures 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=capital-expenditures&ticker=ASTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ASTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();