Ferroglobe (GSM) Capital Leases (2014 - 2025)
Ferroglobe (GSM) reported Capital Leases of $13 million for the quarter ended Dec 31, 2018, up 0.6% from $12.92 million a year earlier but down 0.2% from the prior quarter.
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Analysis
Ferroglobe (GSM) Capital Leases (2014 - 2025) Analysis & Trends
Dating back to the quarter ended Dec 31, 2014, Ferroglobe's Capital Leases record includes 14 quarters.
- Capital Leases has a four-year compound annual growth rate of 2.8% (years ended Dec 2014 to Dec 2018).
- By year, Capital Leases came in at $12.92 million in the year ended Dec 31, 2017 (+597.6%), $1.85 million in the year ended Dec 31, 2016 (-86.2%), $13.43 million in the year ended Dec 31, 2015 (+15.4%) and $11.63 million in the year ended Dec 31, 2014.
- Five-year quarterly Capital Leases spans a low of $586,000 in the quarter ended Mar 31, 2017 and a high of $15.12 million in the quarter ended Sep 30, 2016.
- Year over year, Capital Leases has now increased in each of the last three quarters, with growth averaging 69.2% over the last seven quarters.
- The high point for year-over-year Capital Leases in five years was the quarter ended Dec 31, 2017 (growth of 597.6%); the low point was the quarter ended Mar 31, 2017 (a decline of 95.8%).
- Per Business Quant data, the three quarters before the quarter ended Dec 31, 2018 came in at $13.02 million (quarter ended Sep 30, 2018), $13.02 million (quarter ended Jun 30, 2018) and $13.48 million (quarter ended Mar 30, 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 152.17 Bn | 130.96 Bn | 2.90 Bn |
| 3 | Rio Tinto | 136.50 Bn | 97.00 Bn | - |
| 4 | Newmont | 121.22 Bn | 89.23 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 92.90 Bn | 76.94 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 88.76 Bn | 78.39 Bn | 2.43 Bn |
| 7 | Barrick Mining | 66.12 Bn | 41.32 Bn | 2.90 Bn |
| 8 | Nucor | 58.75 Bn | 48.13 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 45.93 Bn | 24.95 Bn | - |
| 10 | Ferroglobe | 760.04 Mn | 276.28 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -44.08 Mn |
| Jun 30, 2025 | -20.80 Mn |
| Sep 30, 2024 | -2.66 Mn |
| Dec 31, 2018 | 53.47 Mn |
| Sep 30, 2018 | 57.39 Mn |
| Jun 30, 2018 | 61.08 Mn |
| Mar 31, 2018 | 68.10 Mn |
| Dec 31, 2017 | 69.71 Mn |
| Sep 30, 2017 | 71.89 Mn |
| Jun 30, 2017 | 72.65 Mn |
| Mar 31, 2017 | 1.91 Mn |
| Dec 31, 2016 | 3.39 Mn |
| Sep 30, 2016 | 79.78 Mn |
| Jun 30, 2016 | 84.06 Mn |
| Mar 31, 2016 | 90.64 Mn |
| Dec 31, 2015 | 89.77 Mn |
| Dec 31, 2014 | 115.03 Mn |
API Access
Ferroglobe Capital 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=capital-leases&ticker=GSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-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=capital-leases&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();