Algoma Steel (ASTL) Property, Plant & Equipment (Net) (2021 - 2026)
Algoma Steel (ASTL) recorded Property, Plant & Equipment (Net) of $782.57 million in the quarter ended Jun 30, 2026, down 54.1% from $1.71 billion a year earlier and down 25.5% from the prior quarter.
Algoma Steel (ASTL) Property, Plant & Equipment (Net) (2021 - 2026) Analysis & Trends
As of Dec 31, 2025, Algoma Steel reported Property, Plant & Equipment (Net) of $737.12 million, down 38.1% from the prior year.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 4.0% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $1.19 billion in the year ended Dec 31, 2024, $818.48 million in the year ended Mar 31, 2023 (+5.8%), $773.7 million in the year ended Mar 31, 2022 (+39.9%) and $552.99 million in the year ended Mar 31, 2021 (-8.6%).
- Quarterly Property, Plant & Equipment (Net) has ranged from $738.53 million in the quarter ended Dec 31, 2025 to $2.41 billion in the quarter ended Sep 30, 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $1.05 billion (quarter ended Mar 31, 2026), $738.53 million (quarter ended Dec 31, 2025) and $2.41 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | 88.03 Bn |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 10.66 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 33.58 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | 10.97 Bn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 41.71 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 25.74 Bn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 30.47 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 15.86 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | 41.40 Bn |
| 10 | Algoma Steel | 455.41 Mn | 284.78 Mn | -91.52 Mn | 782.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 782.57 Mn |
| Mar 31, 2026 | 1.05 Bn |
| Dec 31, 2025 | 738.53 Mn |
| Sep 30, 2025 | 2.41 Bn |
| Jun 30, 2025 | 1.71 Bn |
| Mar 31, 2025 | 1.75 Bn |
| Dec 31, 2024 | 1.19 Bn |
| Sep 30, 2024 | 1.50 Bn |
| Jun 30, 2024 | 1.47 Bn |
| Mar 31, 2024 | 1.04 Bn |
| Dec 31, 2023 | 1.30 Bn |
| Sep 30, 2023 | 1.28 Bn |
| Jun 30, 2023 | 1.14 Bn |
| Mar 31, 2023 | 799.83 Mn |
| Dec 31, 2022 | 1.02 Bn |
| Sep 30, 2022 | 745.51 Mn |
| Jun 30, 2022 | 670.22 Mn |
| Mar 31, 2022 | 610.82 Mn |
| Dec 31, 2021 | 713.60 Mn |
| Sep 30, 2021 | 710.10 Mn |
Algoma Steel Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ASTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=ASTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();