Ferroglobe (GSM) Intangibles (2013 - 2026)
Ferroglobe's Intangibles came in at $203.82 million for the quarter ended Jun 30, 2026, up 4.2% from $195.63 million a year earlier and up 2.8% from the prior quarter.
Ferroglobe (GSM) Intangibles (2013 - 2026) Analysis & Trends
As of Dec 31, 2025, Ferroglobe's Intangibles was $132.68 million, up 28.7% from the prior year.
- Intangibles carries a five-year compound annual growth rate of 44.9% (years ended Dec 2020 to Dec 2025).
- Going back by year, Intangibles was $103.1 million in the year ended Dec 31, 2024 (-25.5%), $138.35 million in the year ended Dec 31, 2023 (+23.7%), $111.8 million in the year ended Dec 31, 2022 (+11.1%) and $100.64 million in the year ended Dec 31, 2021 (+384.9%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Intangibles since the quarter ended Mar 31, 2023.
- Year-over-year, Intangibles has increased for three consecutive quarters, with growth averaging 2.4% over the last eight quarters.
- The fastest year-over-year change in Intangibles over five years came in the quarter ended Mar 31, 2022 (growth of 627.7%), and the weakest in the quarter ended Dec 31, 2024 (a decline of 25.5%).
- Business Quant data shows GSM's Intangibles at $198.32 million (quarter ended Mar 31, 2026), $132.68 million (quarter ended Dec 31, 2025) and $128.02 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | 5.13 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 | 1.04 Bn |
| 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 | 148.00 Mn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 2.75 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | - |
| 10 | Ferroglobe | 741.84 Mn | 284.79 Mn | - | 203.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 203.82 Mn |
| Mar 31, 2026 | 198.32 Mn |
| Dec 31, 2025 | 132.68 Mn |
| Sep 30, 2025 | 128.02 Mn |
| Jun 30, 2025 | 195.63 Mn |
| Mar 31, 2025 | 178.58 Mn |
| Dec 31, 2024 | 103.10 Mn |
| Sep 30, 2024 | 131.18 Mn |
| Jun 30, 2024 | 192.13 Mn |
| Mar 31, 2024 | 193.59 Mn |
| Dec 31, 2023 | 138.35 Mn |
| Sep 30, 2023 | 120.60 Mn |
| Jun 30, 2023 | 125.40 Mn |
| Mar 31, 2023 | 223.45 Mn |
| Dec 31, 2022 | 111.80 Mn |
| Sep 30, 2022 | 97.47 Mn |
| Jun 30, 2022 | 94.87 Mn |
| Mar 31, 2022 | 188.41 Mn |
| Dec 31, 2021 | 100.64 Mn |
| Sep 30, 2021 | 89.70 Mn |
Ferroglobe Intangibles 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=intangibles&ticker=GSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();