Ferroglobe (GSM) Other Accumulated Expenses (2014 - 2026)
Ferroglobe's Other Accumulated Expenses was $83.72 million in the quarter ended Jun 30, 2026, down 7.0% from $90.05 million a year earlier but up 8.0% from the prior quarter.
Ferroglobe (GSM) Other Accumulated Expenses (2014 - 2026) Analysis & Trends
As of Dec 31, 2025, Other Accumulated Expenses at Ferroglobe came in at $75.85 million, down 4.5% from the prior year.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 4.3% (years ended Dec 2020 to Dec 2025).
- In earlier years, Other Accumulated Expenses was $79.41 million in the year ended Dec 31, 2024 (-28.9%), $111.7 million in the year ended Dec 31, 2023 (+6.8%), $104.56 million in the year ended Dec 31, 2022 (+40.7%) and $74.33 million in the year ended Dec 31, 2021 (+21.2%).
- Quarterly Other Accumulated Expenses has moved between $74.16 million (the quarter ended Jun 30, 2023) and $111.7 million (the quarter ended Dec 31, 2023) over five years.
- Compared with a year earlier, Other Accumulated Expenses has declined for three straight quarters, with an average decline of 6.2% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was the quarter ended Dec 31, 2022 (growth of 40.7%); the worst was the quarter ended Dec 31, 2024 (a decline of 28.9%).
- Per Business Quant data, GSM's Other Accumulated Expenses in the three quarters before the quarter ended Jun 30, 2026 was $77.54 million (quarter ended Mar 31, 2026), $75.85 million (quarter ended Dec 31, 2025) and $87.25 million (quarter ended Sep 30, 2025).
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 | Ferroglobe | 796.03 Mn | 338.98 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.72 Mn |
| Mar 31, 2026 | 77.54 Mn |
| Dec 31, 2025 | 75.85 Mn |
| Sep 30, 2025 | 87.25 Mn |
| Jun 30, 2025 | 90.05 Mn |
| Mar 31, 2025 | 87.45 Mn |
| Dec 31, 2024 | 79.41 Mn |
| Sep 30, 2024 | 86.78 Mn |
| Jun 30, 2024 | 76.79 Mn |
| Mar 31, 2024 | 111.61 Mn |
| Dec 31, 2023 | 111.70 Mn |
| Sep 30, 2023 | 81.96 Mn |
| Jun 30, 2023 | 74.16 Mn |
| Mar 31, 2023 | 96.36 Mn |
| Dec 31, 2022 | 104.56 Mn |
| Sep 30, 2022 | 84.57 Mn |
| Jun 30, 2022 | 87.36 Mn |
| Mar 31, 2022 | 82.40 Mn |
| Dec 31, 2021 | 74.33 Mn |
| Sep 30, 2021 | 69.96 Mn |
Ferroglobe Other Accumulated 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-accumulated-expenses&ticker=GSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();