Ferroglobe (GSM) Exchange Rate Effect (2015 - 2026)
Ferroglobe (GSM) reported Exchange Rate Effect of -$5.14 million for the quarter ended Jun 30, 2026, compared with $19.66 million a year earlier.
Ferroglobe (GSM) Exchange Rate Effect (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ferroglobe's Exchange Rate Effect came in at -$9.61 million; for the year ended Dec 31, 2025, it was $23.89 million.
- By year, Exchange Rate Effect came in at -$13.57 million in the year ended Dec 31, 2024, $7.55 billion in the year ended Dec 31, 2023 (-24.5%), $10 billion in the year ended Dec 31, 2022 and $157,000 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Exchange Rate Effect since the quarter ended Dec 31, 2024.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$1.78 million (quarter ended Mar 31, 2026), -$2.13 million (quarter ended Dec 31, 2025) and -$555,000 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | -2.70 Mn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | -17.00 Mn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | -726,000.00 |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | -1.73 Mn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | - |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | -6.00 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | -35.00 Mn |
| 10 | Ferroglobe | 741.84 Mn | 284.79 Mn | - | -5.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.14 Mn |
| Mar 31, 2026 | -1.78 Mn |
| Dec 31, 2025 | -2.13 Mn |
| Sep 30, 2025 | -555,000.00 |
| Jun 30, 2025 | 19.66 Mn |
| Mar 31, 2025 | 6.91 Mn |
| Dec 31, 2024 | -13.57 Mn |
| Sep 30, 2024 | 6.58 Mn |
| Jun 30, 2024 | -3.59 Mn |
| Mar 31, 2024 | -1.38 Mn |
| Dec 31, 2023 | 7.55 Mn |
| Sep 30, 2023 | 1.13 Mn |
| Jun 30, 2023 | -1.01 Mn |
| Mar 31, 2023 | -1.46 Mn |
| Dec 31, 2022 | 10.00 Mn |
| Sep 30, 2022 | -934,000.00 |
| Jun 30, 2022 | -5.86 Mn |
| Mar 31, 2022 | 1,000.00 |
| Dec 31, 2021 | -157,000.00 |
| Sep 30, 2021 | -153,000.00 |
Ferroglobe 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=GSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "GSM", "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=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();