Algoma Steel (ASTL) Enterprise Value (2021 - 2026)
Algoma Steel (ASTL) recorded Enterprise Value of $379.73 million in the quarter ended Jun 30, 2026, down 40.7% from $639.98 million a year earlier but up 3.2% from the prior quarter.
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Analysis
Algoma Steel (ASTL) Enterprise Value (2021 - 2026) Analysis & Trends
On a TTM basis, Algoma Steel's Enterprise Value came in at $254.35 million as of Jun 30, 2026; for the year ended Dec 31, 2025, it came in at $374.76 million, down 55.1% from the prior year.
- Annual Enterprise Value has a four-year compound annual growth rate of -15.0% (years ended Dec 2021 to Dec 2025).
- Across earlier years, Enterprise Value came in at $834.46 million in the year ended Dec 31, 2024, $649.56 million in the year ended Mar 31, 2023 (+246.2%), $187.65 million in the year ended Mar 31, 2022 and $719.11 million in the year ended Jun 30, 2021.
- Quarterly Enterprise Value has ranged from $368.08 million in the quarter ended Mar 31, 2026 to $834.46 million in the quarter ended Dec 31, 2024 over the past five years.
- Per Business Quant, the preceding three quarters came in at $368.08 million (quarter ended Mar 31, 2026), $374.65 million (quarter ended Dec 31, 2025) and $368.8 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn |
| 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 |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - |
| 10 | Algoma Steel | 456.46 Mn | 285.83 Mn | -91.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 379.73 Mn |
| Mar 31, 2026 | 368.08 Mn |
| Dec 31, 2025 | 374.65 Mn |
| Sep 30, 2025 | 368.80 Mn |
| Jun 30, 2025 | 639.98 Mn |
| Mar 31, 2025 | 341.83 Mn |
| Dec 31, 2024 | 834.46 Mn |
| Sep 30, 2024 | 612.97 Mn |
| Jun 30, 2024 | 231.16 Mn |
| Mar 31, 2024 | 811.18 Mn |
| Dec 31, 2023 | 944.09 Mn |
| Sep 30, 2023 | 490.66 Mn |
| Jun 30, 2023 | 434.73 Mn |
| Mar 31, 2023 | 653.83 Mn |
| Dec 31, 2022 | 393.10 Mn |
| Sep 30, 2022 | 291.40 Mn |
| Jun 30, 2022 | 11.67 Mn |
| Mar 31, 2022 | 386.41 Mn |
| Dec 31, 2021 | 188.31 Mn |
| Sep 30, 2021 | 388.40 Mn |
API Access
Algoma Steel Enterprise Value 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=enterprise-value&ticker=ASTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ASTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();