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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 162.86 Bn | 141.64 Bn | 2.90 Bn |
| 3 | Rio Tinto | 141.42 Bn | 101.92 Bn | - |
| 4 | Newmont | 124.37 Bn | 92.37 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.83 Bn | 83.46 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.46 Bn | 44.66 Bn | 2.90 Bn |
| 8 | Nucor | 60.57 Bn | 49.95 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.54 Bn | 27.57 Bn | - |
| 10 | Ferroglobe | 788.29 Mn | 304.53 Mn | - |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();