Algoma Steel (ASTL) Price to Book (2021 - 2026)
Algoma Steel's (ASTL) Price to Book came in at 1.99 for the quarter ended Jun 30, 2026, up 255.9% from 0.56 a year earlier and up 58.7% from the prior quarter.
Powered by 
Analysis
Algoma Steel (ASTL) Price to Book (2021 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Algoma Steel's Price to Book stood at 1.22, up 28.9% from the prior year.
- In prior years, Algoma Steel's Price to Book was 0.95 in the year ended Dec 31, 2024, 0.76 in the year ended Mar 31, 2023 (+5.7%), 0.72 in the year ended Mar 31, 2022 (-85.9%) and 5.06 in the year ended Mar 31, 2021.
- According to Business Quant data, Price to Book for the three prior quarters was 1.25 (quarter ended Mar 31, 2026), 1.22 (quarter ended Dec 31, 2025) and 0.43 (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 | 166.32 Bn | 145.19 Bn | 2.90 Bn |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - |
| 10 | Algoma Steel | 431.28 Mn | 260.65 Mn | -91.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.99 |
| Mar 31, 2026 | 1.25 |
| Dec 31, 2025 | 1.22 |
| Sep 30, 2025 | 0.43 |
| Jun 30, 2025 | 0.56 |
| Mar 31, 2025 | 0.38 |
| Dec 31, 2024 | 0.95 |
| Sep 30, 2024 | 0.75 |
| Jun 30, 2024 | 0.47 |
| Mar 31, 2024 | 0.79 |
| Dec 31, 2023 | 0.72 |
| Sep 30, 2023 | 0.44 |
| Jun 30, 2023 | 0.48 |
| Mar 31, 2023 | 0.77 |
| Dec 31, 2022 | 0.43 |
| Sep 30, 2022 | 0.55 |
| Jun 30, 2022 | 0.83 |
| Mar 31, 2022 | 0.91 |
| Dec 31, 2021 | 0.91 |
| Sep 30, 2021 | 1.01 |
API Access
Algoma Steel Price to Book 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=price-to-book&ticker=ASTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=ASTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();