Ferroglobe (GSM) Operating Expenses (2016 - 2026)
Ferroglobe's Operating Expenses came in at -$1.29 million for the quarter ended Jun 30, 2026, compared with -$1.29 million a year earlier.
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Analysis
Ferroglobe (GSM) Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ferroglobe reported Operating Expenses of -$7.96 million; for the year ended Dec 31, 2025, it was $83.04 million, up 14.9% from the prior year.
- Operating Expenses carries a five-year compound annual growth rate of -4.5% (years ended Dec 2020 to Dec 2025).
- Going back by year, Operating Expenses was $72.3 million in the year ended Dec 31, 2024 (-7.8%), $78.4 million in the year ended Dec 31, 2023 (-13.0%), $90.15 million in the year ended Dec 31, 2022 (-23.2%) and $117.46 million in the year ended Dec 31, 2021 (+12.1%).
- The five-year range for quarterly Operating Expenses is -$4.54 million (the quarter ended Jun 30, 2024) to $5.91 million (the quarter ended Mar 31, 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | -780.00 Mn |
| 10 | Ferroglobe | 788.29 Mn | 304.53 Mn | - | -1.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.29 Mn |
| Dec 31, 2025 | -2.69 Mn |
| Jun 30, 2025 | -1.29 Mn |
| Dec 31, 2024 | -2.69 Mn |
| Sep 30, 2024 | 5.54 Mn |
| Jun 30, 2024 | -4.54 Mn |
| Sep 30, 2023 | 5.54 Mn |
| Jun 30, 2022 | 3.41 Mn |
| Mar 31, 2022 | 5.91 Mn |
| Dec 31, 2021 | 455,000.00 |
| Sep 30, 2021 | 1.31 Mn |
| Jun 30, 2021 | 2.14 Mn |
| Mar 31, 2021 | 36.59 Mn |
| Dec 31, 2020 | 3.77 Mn |
| Dec 31, 2019 | 3.00 Mn |
| Jun 30, 2019 | 2.89 Mn |
| Dec 31, 2016 | 24.43 Mn |
API Access
Ferroglobe Operating Expenses 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=operating-expenses&ticker=GSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();