Ferroglobe (GSM) Operating Leases (2018 - 2026)
Ferroglobe's Operating Leases was $53.11 million in the quarter ended Jun 30, 2026, down 18.1% from $64.86 million a year earlier and down 4.3% from the prior quarter.
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Analysis
Ferroglobe (GSM) Operating Leases (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, Operating Leases at Ferroglobe came in at $57.43 million, up 1.5% from the prior year.
- Operating Leases has now increased for four consecutive years, with a five-year compound annual growth rate of 32.6% (years ended Dec 2020 to Dec 2025).
- In earlier years, Operating Leases was $56.59 million in the year ended Dec 31, 2024 (+3.9%), $54.48 million in the year ended Dec 31, 2023 (+321.0%), $12.94 million in the year ended Dec 31, 2022 (+29.8%) and $9.97 million in the year ended Dec 31, 2021 (-28.8%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Operating Leases since the quarter ended Sep 30, 2023.
- Compared with a year earlier, Operating Leases was higher in six of the last eight quarters, with growth averaging 52.8%.
- The best year-over-year quarter for Operating Leases over five years was the quarter ended Sep 30, 2024 (growth of 400.1%); the worst was the quarter ended Dec 31, 2021 (a decline of 28.8%).
- Per Business Quant data, GSM's Operating Leases in the three quarters before the quarter ended Jun 30, 2026 was $55.52 million (quarter ended Mar 31, 2026), $57.43 million (quarter ended Dec 31, 2025) and $65.59 million (quarter ended Sep 30, 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.11 Mn |
| Mar 31, 2026 | 55.52 Mn |
| Dec 31, 2025 | 57.43 Mn |
| Sep 30, 2025 | 65.59 Mn |
| Jun 30, 2025 | 64.86 Mn |
| Mar 31, 2025 | 59.77 Mn |
| Dec 31, 2024 | 56.59 Mn |
| Sep 30, 2024 | 57.86 Mn |
| Jun 30, 2024 | 54.46 Mn |
| Mar 31, 2024 | 54.36 Mn |
| Dec 31, 2023 | 54.48 Mn |
| Sep 30, 2023 | 11.57 Mn |
| Jun 30, 2023 | 11.63 Mn |
| Mar 31, 2023 | 11.74 Mn |
| Dec 31, 2022 | 12.94 Mn |
| Sep 30, 2022 | 9.18 Mn |
| Jun 30, 2022 | 9.51 Mn |
| Mar 31, 2022 | 10.64 Mn |
| Dec 31, 2021 | 9.97 Mn |
| Sep 30, 2021 | 11.20 Mn |
API Access
Ferroglobe Operating Leases 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=operating-leases&ticker=GSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();