Ferroglobe (GSM) Total Debt (2014 - 2026)
Ferroglobe (GSM) recorded Total Debt of $46.67 million in the quarter ended Jun 30, 2026, down 13.0% from $53.66 million a year earlier and down 34.0% from the prior quarter.
Ferroglobe (GSM) Total Debt (2014 - 2026) Analysis & Trends
As of Dec 31, 2025, Ferroglobe reported Total Debt of $71.54 million, up 15.3% from the prior year.
- Annual Total Debt has a five-year compound annual growth rate of 12.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Total Debt came in at $62.03 million in the year ended Dec 31, 2024 (+100.3%), $30.97 million in the year ended Dec 31, 2023 (-59.3%), $76.16 million in the year ended Dec 31, 2022 (+15.2%) and $66.13 million in the year ended Dec 31, 2021 (+65.0%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Total Debt since the quarter ended Mar 31, 2024.
- On a year-over-year basis, Total Debt rose in six of the last eight quarters, with growth averaging 39.7%.
- Peak year-over-year performance for Total Debt in the last five years was growth of 128.8% in the quarter ended Jun 30, 2024, against a decline of 78.5% in the quarter ended Mar 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $70.69 million (quarter ended Mar 31, 2026), $71.54 million (quarter ended Dec 31, 2025) and $61.73 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 21.82 Bn |
| 2 | Southern Copper | 163.88 Bn | 142.66 Bn | 2.90 Bn | 7.99 Bn |
| 3 | Rio Tinto | 141.59 Bn | 102.09 Bn | - | 22.18 Bn |
| 4 | Newmont | 124.61 Bn | 92.61 Bn | 4.03 Bn | 5.08 Bn |
| 5 | Freeport-Mcmoran | 98.97 Bn | 83.01 Bn | 2.19 Bn | 9.39 Bn |
| 6 | Agnico Eagle Mines | 94.25 Bn | 83.88 Bn | 2.43 Bn | 196.83 Mn |
| 7 | Barrick Mining | 69.80 Bn | 45.00 Bn | 2.90 Bn | 4.68 Bn |
| 8 | Nucor | 60.53 Bn | 49.91 Bn | 2.03 Bn | 7.10 Bn |
| 9 | ArcelorMittal | 48.47 Bn | 27.50 Bn | - | 16.31 Bn |
| 10 | Ferroglobe | 789.23 Mn | 305.47 Mn | - | 60.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.01 Mn |
| Mar 31, 2026 | 80.35 Mn |
| Dec 31, 2025 | 151.42 Mn |
| Sep 30, 2025 | 80.37 Mn |
| Jun 30, 2025 | 74.59 Mn |
| Mar 31, 2025 | 57.26 Mn |
| Dec 31, 2024 | 105.28 Mn |
| Sep 30, 2024 | 41.49 Mn |
| Jun 30, 2024 | 42.51 Mn |
| Mar 31, 2024 | 82.83 Mn |
| Dec 31, 2023 | 62.60 Mn |
| Sep 30, 2023 | 79.67 Mn |
| Jun 30, 2023 | 81.91 Mn |
| Mar 31, 2023 | 54.87 Mn |
| Dec 31, 2022 | 138.22 Mn |
| Sep 30, 2022 | 37.23 Mn |
| Jun 30, 2022 | 39.94 Mn |
| Mar 31, 2022 | 42.03 Mn |
| Dec 31, 2021 | 161.43 Mn |
| Sep 30, 2021 | 41.63 Mn |
Ferroglobe Total 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=total-debt&ticker=GSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();