Algoma Steel (ASTL) Exchange Rate Effect (2020 - 2026)
Algoma Steel (ASTL) reported Exchange Rate Effect of $795,218 for the quarter ended Jun 30, 2026, compared with -$7.94 million a year earlier and down 27.7% from the prior quarter.
Powered by 
Analysis
Algoma Steel (ASTL) Exchange Rate Effect (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Algoma Steel's Exchange Rate Effect came in at $1.2 million, down 69.8% year-over-year; for the year ended Dec 31, 2025, it came in at -$8.45 million.
- By year, Exchange Rate Effect came in at $21.2 million in the year ended Dec 31, 2024, $43.83 million in the year ended Mar 31, 2023, -$4.9 million in the year ended Mar 31, 2022 and $11.6 million in the year ended Mar 31, 2021 (+493.2%).
- Five-year quarterly Exchange Rate Effect spans a low of -$7.94 million in the quarter ended Jun 30, 2025 and a high of $1.1 million in the quarter ended Mar 31, 2026.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $1.1 million (quarter ended Mar 31, 2026), -$1.2 million (quarter ended Dec 31, 2025) and $500,000 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | -2.70 Mn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | -17.00 Mn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -726,000.00 |
| 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 | -1.73 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | - |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | -6.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -35.00 Mn |
| 10 | Algoma Steel | 456.46 Mn | 285.83 Mn | -91.52 Mn | 795,217.80 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 795,217.80 |
| Mar 31, 2026 | 1.10 Mn |
| Dec 31, 2025 | -1.20 Mn |
| Sep 30, 2025 | 500,000.00 |
| Jun 30, 2025 | -7.94 Mn |
| Mar 31, 2025 | 200,000.00 |
| Sep 30, 2024 | 6.30 Mn |
| Jun 30, 2024 | 1.40 Mn |
| Mar 31, 2024 | 2.10 Mn |
| Dec 31, 2023 | 400,000.00 |
| Sep 30, 2023 | 5.10 Mn |
| Jun 30, 2023 | -6.30 Mn |
| Mar 31, 2023 | -1.90 Mn |
| Dec 31, 2022 | 5.00 Mn |
| Sep 30, 2022 | 25.76 Mn |
| Jun 30, 2022 | 24.47 Mn |
| Mar 31, 2022 | -12.60 Mn |
| Dec 31, 2021 | 4.00 Mn |
| Sep 30, 2021 | 3.18 Mn |
| Jun 30, 2021 | -300,000.00 |
API Access
Algoma Steel Exchange Rate Effect 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=exchange-rate-effect&ticker=ASTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=ASTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();