Algoma Steel (ASTL) Price to Sales (2021 - 2026)
Algoma Steel's Price to Sales came in at 0.26 for the quarter ended Jun 30, 2026, up 51.6% from 0.17 a year earlier and up 10.8% from the prior quarter.
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Analysis
Algoma Steel (ASTL) Price to Sales (2021 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Algoma Steel's Price to Sales was 0.29, down 81.7% from the prior year.
- Going back by year, Price to Sales was 1.58 in the year ended Dec 31, 2024, 0.40 in the year ended Mar 31, 2023 (+33.8%), 0.30 in the year ended Mar 31, 2022 (-39.3%) and 0.49 in the year ended Mar 31, 2021.
- Business Quant data shows ASTL's Price to Sales at 0.24 (quarter ended Mar 31, 2026), 0.13 (quarter ended Dec 31, 2025) and 0.09 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - |
| 10 | Algoma Steel | 455.41 Mn | 284.78 Mn | -91.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.26 |
| Mar 31, 2026 | 0.24 |
| Dec 31, 2025 | 0.21 |
| Sep 30, 2025 | 0.18 |
| Jun 30, 2025 | 0.33 |
| Mar 31, 2025 | 0.24 |
| Sep 30, 2024 | 0.43 |
| Jun 30, 2024 | 0.28 |
| Mar 31, 2024 | 0.32 |
| Dec 31, 2023 | 0.36 |
| Sep 30, 2023 | 0.25 |
| Jun 30, 2023 | 0.29 |
| Mar 31, 2023 | 0.34 |
| Dec 31, 2022 | 0.24 |
| Sep 30, 2022 | 0.20 |
| Jun 30, 2022 | 0.26 |
| Mar 31, 2022 | 0.31 |
| Dec 31, 2021 | 0.24 |
| Sep 30, 2021 | 0.28 |
| Jun 30, 2021 | 0.32 |
API Access
Algoma Steel Price to Sales 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-sales&ticker=ASTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=ASTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();