Ferroglobe (GSM) Restructuring Costs (2019 - 2026)
Ferroglobe's Restructuring Costs came in at -$1.29 million for the quarter ended Jun 30, 2026, compared with -$1.29 million a year earlier.
Ferroglobe (GSM) Restructuring Costs (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ferroglobe reported Restructuring Costs of -$7.96 million; for the year ended Dec 31, 2024, it came in at -$2.69 million.
- Going back by year, Restructuring Costs was $5.54 million in the year ended Dec 31, 2023 (-40.6%), $9.32 million in the year ended Dec 31, 2022 (-66.0%), $27.37 million in the year ended Dec 31, 2021 (+625.9%) and $3.77 million in the year ended Dec 31, 2020 (-36.0%).
- The five-year range for quarterly Restructuring Costs is -$4.54 million (the quarter ended Jun 30, 2024) to $5.91 million (the quarter ended Mar 31, 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 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 |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | Ferroglobe | 741.84 Mn | 284.79 Mn | - |
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 |
Ferroglobe Restructuring Costs 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=restructuring-costs&ticker=GSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();