Ferroglobe (GSM) Other Operating Expenses (2014 - 2026)
Ferroglobe's Other Operating Expenses was -$52.52 million in Q2 2026.
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Analysis
Ferroglobe (GSM) Other Operating Expenses (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ferroglobe's Other Operating Expenses was -$187.6 million through Jun 30, 2026; for FY2025, it was -$272.57 million.
- In earlier years, Other Operating Expenses was -$280.34 million in FY2024, -$1.19 billion in FY2023, -$1.6 billion in FY2022 and -$1.47 billion in FY2021.
- The Q2 2026 figure marks the lowest quarterly Other Operating Expenses since Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - |
| 3 | Southern Copper | 143.83 Bn | 118.64 Bn | 3.10 Bn |
| 4 | Rio Tinto | 137.31 Bn | 104.37 Bn | - |
| 5 | Newmont | 124.66 Bn | 89.98 Bn | 4.22 Bn |
| 6 | Ternium | 102.52 Bn | 75.29 Bn | 1.04 Bn |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn |
| 8 | Freeport-Mcmoran | 86.53 Bn | 83.18 Bn | 2.55 Bn |
| 9 | Barrick Mining | 66.50 Bn | 50.91 Bn | 2.71 Bn |
| 10 | Ferroglobe | 515.74 Mn | 72.65 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -79.86 Mn |
| Jun 30, 2026 | -76.41 Mn |
| Mar 31, 2026 | -71.77 Mn |
| Dec 31, 2025 | -59.37 Mn |
| Sep 30, 2025 | -74.71 Mn |
| Jun 30, 2025 | -64.54 Mn |
| Mar 31, 2025 | -47.29 Mn |
| Dec 31, 2024 | -52.29 Mn |
| Sep 30, 2024 | -74.48 Mn |
| Jun 30, 2024 | -86.07 Mn |
| Mar 31, 2024 | -52.35 Mn |
| Dec 31, 2023 | -73.07 Mn |
| Sep 30, 2023 | -65.71 Mn |
| Jun 30, 2023 | -77.20 Mn |
| Mar 31, 2023 | -54.15 Mn |
| Dec 31, 2022 | -54.13 Mn |
| Sep 30, 2022 | -77.95 Mn |
| Jun 30, 2022 | -130.99 Mn |
| Mar 31, 2022 | -83.18 Mn |
| Dec 31, 2021 | -87.02 Mn |
API Access
Ferroglobe Other 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=other-operating-expenses&ticker=GSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();