Ferroglobe (GSM) Short term Debt (2014 - 2026)
Ferroglobe (GSM) reported Short term Debt of $6.84 million for the quarter ended Jun 30, 2026, down 11.4% from $7.72 million a year earlier and down 39.8% from the prior quarter.
Ferroglobe (GSM) Short term Debt (2014 - 2026) Analysis & Trends
As of Dec 31, 2025, Ferroglobe posted Short term Debt of $11.41 million, down 76.3% from the prior year.
- Short term Debt has a five-year compound annual growth rate of -20.0% (years ended Dec 2020 to Dec 2025).
- By year, Short term Debt came in at $48.12 million in the year ended Dec 31, 2024 (+199.8%), $16.05 million in the year ended Dec 31, 2023 (-73.4%), $60.38 million in the year ended Dec 31, 2022 (-3.3%) and $62.46 million in the year ended Dec 31, 2021 (+79.5%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Short term Debt since the quarter ended Dec 31, 2018.
- Year over year, Short term Debt has now declined in each of the last five quarters, with growth averaging 24.5% over the last eight quarters.
- The high point for year-over-year Short term Debt in five years was the quarter ended Jun 30, 2024 (growth of 294.7%); the low point was the quarter ended Mar 31, 2024 (a decline of 87.7%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $11.36 million (quarter ended Mar 31, 2026), $11.41 million (quarter ended Dec 31, 2025) and $9.31 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - |
| 10 | Ferroglobe | 788.29 Mn | 304.53 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.17 Mn |
| Mar 31, 2026 | 21.02 Mn |
| Dec 31, 2025 | 11.41 Mn |
| Sep 30, 2025 | 27.96 Mn |
| Jun 30, 2025 | 28.65 Mn |
| Mar 31, 2025 | 24.96 Mn |
| Dec 31, 2024 | 48.12 Mn |
| Sep 30, 2024 | 27.28 Mn |
| Jun 30, 2024 | 28.12 Mn |
| Mar 31, 2024 | 68.19 Mn |
| Dec 31, 2023 | 16.05 Mn |
| Sep 30, 2023 | 64.59 Mn |
| Jun 30, 2023 | 66.56 Mn |
| Mar 31, 2023 | 39.28 Mn |
| Dec 31, 2022 | 60.38 Mn |
| Sep 30, 2022 | 34.70 Mn |
| Jun 30, 2022 | 37.02 Mn |
| Mar 31, 2022 | 38.67 Mn |
| Dec 31, 2021 | 62.46 Mn |
| Sep 30, 2021 | 37.63 Mn |
Ferroglobe Short term 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=short-term-debt&ticker=GSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-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=short-term-debt&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();