Algoma Steel (ASTL) Inventory (2021 - 2026)
Algoma Steel's Inventory came in at $324.59 million for the quarter ended Jun 30, 2026, down 55.9% from $736.3 million a year earlier and down 31.8% from the prior quarter.
Algoma Steel (ASTL) Inventory (2021 - 2026) Analysis & Trends
As of Dec 31, 2025, Algoma Steel's Inventory was $407.46 million, down 35.3% from the prior year.
- Inventory carries a five-year compound annual growth rate of 142.2% (years ended Dec 2020 to Dec 2025).
- Going back by year, Inventory was $629.37 million in the year ended Dec 31, 2024, $547.04 million in the year ended Mar 31, 2023 (+14.0%), $480 million in the year ended Mar 31, 2022 (+46.3%) and $328.13 million in the year ended Mar 31, 2021.
- The five-year range for quarterly Inventory is $79 million (the quarter ended Sep 30, 2025) to $736.3 million (the quarter ended Jun 30, 2025).
- Business Quant data shows ASTL's Inventory at $475.6 million (quarter ended Mar 31, 2026), $408.24 million (quarter ended Dec 31, 2025) and $79 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 324.00 Mn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.06 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 1.48 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 4.40 Bn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 1.62 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 2.09 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 6.02 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 19.28 Bn |
| 10 | Algoma Steel | 456.46 Mn | 285.83 Mn | -91.52 Mn | 324.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 324.59 Mn |
| Mar 31, 2026 | 475.60 Mn |
| Dec 31, 2025 | 408.24 Mn |
| Sep 30, 2025 | 79.00 Mn |
| Jun 30, 2025 | 736.30 Mn |
| Mar 31, 2025 | 693.90 Mn |
| Dec 31, 2024 | 629.37 Mn |
| Sep 30, 2024 | 792.60 Mn |
| Jun 30, 2024 | 799.60 Mn |
| Mar 31, 2024 | 74.06 Mn |
| Dec 31, 2023 | 886.60 Mn |
| Sep 30, 2023 | 822.70 Mn |
| Jun 30, 2023 | 759.30 Mn |
| Mar 31, 2023 | 534.58 Mn |
| Dec 31, 2022 | 912.20 Mn |
| Sep 30, 2022 | -243.29 Mn |
| Jun 30, 2022 | 637.70 Mn |
| Mar 31, 2022 | 378.95 Mn |
| Dec 31, 2021 | 615.60 Mn |
| Sep 30, 2021 | 486.00 Mn |
Algoma Steel Inventory 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=inventory&ticker=ASTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ASTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();