Ferroglobe (GSM) Total Liabilities (2014 - 2026)
Ferroglobe (GSM) reported Total Liabilities of $831.6 million for the quarter ended Jun 30, 2026, down 2.0% from $848.25 million a year earlier and down 2.2% from the prior quarter.
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Analysis
Ferroglobe (GSM) Total Liabilities (2014 - 2026) Analysis & Trends
As of Dec 31, 2025, Ferroglobe posted Total Liabilities of $723.22 million, down 3.8% from the prior year.
- Total Liabilities has declined for four consecutive years, with a five-year compound annual growth rate of -5.9% (years ended Dec 2020 to Dec 2025).
- By year, Total Liabilities came in at $751.94 million in the year ended Dec 31, 2024 (-15.4%), $888.88 million in the year ended Dec 31, 2023 (-26.0%), $1.2 billion in the year ended Dec 31, 2022 (-0.2%) and $1.2 billion in the year ended Dec 31, 2021 (+22.6%).
- Five-year quarterly Total Liabilities spans a low of $723.22 million in the quarter ended Dec 31, 2025 and a high of $1.37 billion in the quarter ended Mar 31, 2022.
- Year over year, Total Liabilities gained in three of the last eight quarters, with an average decline of 2.1%.
- The high point for year-over-year Total Liabilities in five years was the quarter ended Mar 31, 2022 (growth of 34.3%); the low point was the quarter ended Mar 31, 2024 (a decline of 36.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $850.63 million (quarter ended Mar 31, 2026), $723.22 million (quarter ended Dec 31, 2025) and $754.57 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | 61.08 Bn |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | 44.33 Bn |
| 10 | Ferroglobe | 788.29 Mn | 304.53 Mn | - | 831.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 831.60 Mn |
| Mar 31, 2026 | 850.63 Mn |
| Dec 31, 2025 | 723.22 Mn |
| Sep 30, 2025 | 754.57 Mn |
| Jun 30, 2025 | 848.25 Mn |
| Mar 31, 2025 | 759.93 Mn |
| Dec 31, 2024 | 638.20 Mn |
| Sep 30, 2024 | 723.23 Mn |
| Jun 30, 2024 | 794.58 Mn |
| Mar 31, 2024 | 795.16 Mn |
| Dec 31, 2023 | 888.88 Mn |
| Sep 30, 2023 | 843.99 Mn |
| Jun 30, 2023 | 1.03 Bn |
| Mar 31, 2023 | 1.25 Bn |
| Dec 31, 2022 | 1.20 Bn |
| Sep 30, 2022 | 1.16 Bn |
| Jun 30, 2022 | 1.27 Bn |
| Mar 31, 2022 | 1.37 Bn |
| Dec 31, 2021 | 1.20 Bn |
| Sep 30, 2021 | 1.14 Bn |
API Access
Ferroglobe Total Liabilities 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-liabilities&ticker=GSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();