Ferroglobe (GSM) Goodwill (2014 - 2026)
Ferroglobe (GSM) posted Goodwill of $12.47 million for the quarter ended Jun 30, 2026, down 12.3% from $14.22 million a year earlier and unchanged from the prior quarter.
Ferroglobe (GSM) Goodwill (2014 - 2026) Analysis & Trends
Since the quarter ended Dec 31, 2014, Ferroglobe has reported Goodwill for 41 quarters.
- Annual Goodwill shows a five-year compound annual growth rate of -15.9% (years ended Dec 2020 to Dec 2025).
- In prior years, Ferroglobe's Goodwill was $14.22 million in the year ended Dec 31, 2024 (-52.1%), $29.7 million in the year ended Dec 31, 2023 (unchanged), $29.7 million in the year ended Dec 31, 2022 (unchanged) and $29.7 million in the year ended Dec 31, 2021 (unchanged).
- Quarterly Goodwill has run from a low of $12.47 million in the quarter ended Dec 31, 2025 to a high of $29.7 million in the quarter ended Sep 30, 2024 over five years.
- On a year-over-year basis, Goodwill has declined in each of the last seven quarters, with an average decline of 30.7% over the last eight quarters.
- Across the past five years, year-over-year decline in Goodwill ran from 0.0% in the quarter ended Sep 30, 2024 to 52.1% in the quarter ended Dec 31, 2024.
- According to Business Quant data, Goodwill for the three prior quarters was $12.47 million (quarter ended Mar 31, 2026), $12.47 million (quarter ended Dec 31, 2025) and $14.22 million (quarter ended Sep 30, 2025).
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 | 12.47 Mn |
| Mar 31, 2026 | 12.47 Mn |
| Dec 31, 2025 | 12.47 Mn |
| Sep 30, 2025 | 14.22 Mn |
| Jun 30, 2025 | 14.22 Mn |
| Mar 31, 2025 | 14.22 Mn |
| Dec 31, 2024 | 14.22 Mn |
| Sep 30, 2024 | 29.70 Mn |
| Jun 30, 2024 | 29.70 Mn |
| Mar 31, 2024 | 29.70 Mn |
| Dec 31, 2023 | 29.70 Mn |
| Sep 30, 2023 | 29.70 Mn |
| Jun 30, 2023 | 29.70 Mn |
| Mar 31, 2023 | 29.70 Mn |
| Dec 31, 2022 | 29.70 Mn |
| Sep 30, 2022 | 29.70 Mn |
| Jun 30, 2022 | 29.70 Mn |
| Mar 31, 2022 | 29.70 Mn |
| Dec 31, 2021 | 29.70 Mn |
| Sep 30, 2021 | 29.70 Mn |
Ferroglobe Goodwill 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=goodwill&ticker=GSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();