Ferroglobe (GSM) Convertible Debt (2014 - 2026)
Ferroglobe's Convertible Debt came in at $35.44 million for the quarter ended Jun 30, 2026, up 20.9% from $29.31 million a year earlier and up 10.5% from the prior quarter.
Ferroglobe (GSM) Convertible Debt (2014 - 2026) Analysis & Trends
As of Dec 31, 2025, Ferroglobe's Convertible Debt was $30.49 million, up 25.0% from the prior year.
- Convertible Debt carries a five-year compound annual growth rate of -22.4% (years ended Dec 2020 to Dec 2025).
- Going back by year, Convertible Debt was $24.38 million in the year ended Dec 31, 2024 (+22.1%), $19.97 million in the year ended Dec 31, 2023 (-9.7%), $22.12 million in the year ended Dec 31, 2022 (-63.7%) and $60.96 million in the year ended Dec 31, 2021 (-43.8%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Convertible Debt since the quarter ended Sep 30, 2023.
- Year-over-year, Convertible Debt has increased for seven consecutive quarters, with growth averaging 12.9% over the last eight quarters.
- The fastest year-over-year change in Convertible Debt over five years came in the quarter ended Jun 30, 2025 (growth of 25.1%), and the weakest in the quarter ended Dec 31, 2022 (a decline of 63.7%).
- Business Quant data shows GSM's Convertible Debt at $32.08 million (quarter ended Mar 31, 2026), $30.49 million (quarter ended Dec 31, 2025) and $31.02 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) |
|---|---|---|---|---|
| 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 | 35.44 Mn |
| Mar 31, 2026 | 32.08 Mn |
| Dec 31, 2025 | 30.49 Mn |
| Sep 30, 2025 | 31.02 Mn |
| Jun 30, 2025 | 29.31 Mn |
| Mar 31, 2025 | 26.39 Mn |
| Dec 31, 2024 | 24.38 Mn |
| Sep 30, 2024 | 25.96 Mn |
| Jun 30, 2024 | 23.43 Mn |
| Mar 31, 2024 | 22.10 Mn |
| Dec 31, 2023 | 19.97 Mn |
| Sep 30, 2023 | 52.52 Mn |
| Jun 30, 2023 | 52.66 Mn |
| Mar 31, 2023 | 25.03 Mn |
| Dec 31, 2022 | 22.12 Mn |
| Sep 30, 2022 | 53.49 Mn |
| Jun 30, 2022 | 55.77 Mn |
| Mar 31, 2022 | 57.86 Mn |
| Dec 31, 2021 | 60.96 Mn |
| Sep 30, 2021 | 98.61 Mn |
Ferroglobe Convertible Debt 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=convertible-debt&ticker=GSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-debt", "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=convertible-debt&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();