Ferroglobe (GSM) Prepaid Assets (2014 - 2026)
Ferroglobe's Prepaid Assets was $28.55 million in the quarter ended Jun 30, 2026, down 41.2% from $48.53 million a year earlier but up 38.1% from the prior quarter.
Ferroglobe (GSM) Prepaid Assets (2014 - 2026) Analysis & Trends
As of Dec 31, 2025, Prepaid Assets at Ferroglobe came in at $21.72 million, down 58.2% from the prior year.
- Prepaid Assets shows a five-year compound annual growth rate of 0.9% (years ended Dec 2020 to Dec 2025).
- In earlier years, Prepaid Assets was $52.01 million in the year ended Dec 31, 2024 (-72.1%), $186.48 million in the year ended Dec 31, 2023 (+509.2%), $30.61 million in the year ended Dec 31, 2022 (+264.0%) and $8.41 million in the year ended Dec 31, 2021 (-59.4%).
- Quarterly Prepaid Assets has moved between $8.41 million (the quarter ended Dec 31, 2021) and $186.48 million (the quarter ended Dec 31, 2023) over five years.
- Compared with a year earlier, Prepaid Assets has declined for four straight quarters, with an average decline of 34.1% over the last eight quarters.
- The best year-over-year quarter for Prepaid Assets over five years was the quarter ended Jun 30, 2023 (growth of 571.7%); the worst was the quarter ended Mar 31, 2022 (a decline of 73.7%).
- Per Business Quant data, GSM's Prepaid Assets in the three quarters before the quarter ended Jun 30, 2026 was $20.67 million (quarter ended Mar 31, 2026), $21.72 million (quarter ended Dec 31, 2025) and $35.21 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 | 28.55 Mn |
| Mar 31, 2026 | 20.67 Mn |
| Dec 31, 2025 | 21.72 Mn |
| Sep 30, 2025 | 35.21 Mn |
| Jun 30, 2025 | 48.53 Mn |
| Mar 31, 2025 | 39.39 Mn |
| Dec 31, 2024 | 52.01 Mn |
| Sep 30, 2024 | 52.47 Mn |
| Jun 30, 2024 | 46.53 Mn |
| Mar 31, 2024 | 27.89 Mn |
| Dec 31, 2023 | 186.48 Mn |
| Sep 30, 2023 | 155.77 Mn |
| Jun 30, 2023 | 104.24 Mn |
| Mar 31, 2023 | 26.91 Mn |
| Dec 31, 2022 | 30.61 Mn |
| Sep 30, 2022 | 35.58 Mn |
| Jun 30, 2022 | 15.52 Mn |
| Mar 31, 2022 | 11.84 Mn |
| Dec 31, 2021 | 8.41 Mn |
| Sep 30, 2021 | 10.35 Mn |
Ferroglobe Prepaid Assets 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=prepaid-assets&ticker=GSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();