Ferroglobe (GSM) Current Leases (2014 - 2018)
Ferroglobe's Current Leases came in at $12.31 million for the quarter ended Jun 30, 2026, down 10.2% from $13.7 million a year earlier and down 1.4% from the prior quarter.
Ferroglobe (GSM) Current Leases (2014 - 2018) Analysis & Trends
As of Dec 31, 2025, Ferroglobe's Current Leases was $12.25 million, down 4.8% from the prior year.
- Current Leases carries a five-year compound annual growth rate of 7.5% (years ended Dec 2020 to Dec 2025).
- Going back by year, Current Leases was $12.87 million in the year ended Dec 31, 2024 (+9.4%), $11.77 million in the year ended Dec 31, 2023 (-69.3%), $38.3 million in the year ended Dec 31, 2022 (+356.5%) and $8.39 million in the year ended Dec 31, 2021 (-1.8%).
- The five-year range for quarterly Current Leases is -$111,000 (the quarter ended Dec 31, 2021) to $38.3 million (the quarter ended Dec 31, 2022).
- Year-over-year, Current Leases has declined for three consecutive quarters, with growth averaging 12.8% over the last eight quarters.
- The fastest year-over-year change in Current Leases over five years came in the quarter ended Sep 30, 2024 (growth of 72.6%), and the weakest in the quarter ended Dec 31, 2023 (a decline of 69.3%).
- Business Quant data shows GSM's Current Leases at $12.48 million (quarter ended Mar 31, 2026), $12.25 million (quarter ended Dec 31, 2025) and $13.65 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) | Current Leases (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 | 132.00 Mn |
| 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 | - | -124.00 Mn |
| 10 | Ferroglobe | 788.29 Mn | 304.53 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 13.00 Mn |
| Sep 30, 2018 | 13.02 Mn |
| Jun 30, 2018 | 13.02 Mn |
| Mar 31, 2018 | 13.48 Mn |
| Dec 31, 2017 | 12.92 Mn |
| Sep 30, 2017 | 12.57 Mn |
| Jun 30, 2017 | 12.03 Mn |
| Mar 31, 2017 | 586,000.00 |
| Dec 31, 2016 | 1.85 Mn |
| Sep 30, 2016 | 15.12 Mn |
| Jun 30, 2016 | 13.84 Mn |
| Mar 31, 2016 | 13.98 Mn |
| Dec 31, 2015 | 13.43 Mn |
| Dec 31, 2014 | 11.63 Mn |
Ferroglobe Current 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=current-leases&ticker=GSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-leases&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();