Ferroglobe (GSM) Inventory (2014 - 2026)
Ferroglobe's Inventory was $321.44 million in the quarter ended Jun 30, 2026, down 1.4% from $325.96 million a year earlier and down 3.8% from the prior quarter.
Ferroglobe (GSM) Inventory (2014 - 2026) Analysis & Trends
As of Dec 31, 2025, Inventory at Ferroglobe came in at $306.16 million, down 11.8% from the prior year.
- Inventory has now declined for three consecutive years, though with a five-year compound annual growth rate of 4.4% (years ended Dec 2020 to Dec 2025).
- In earlier years, Inventory was $347.14 million in the year ended Dec 31, 2024 (-9.6%), $383.84 million in the year ended Dec 31, 2023 (-23.2%), $500.08 million in the year ended Dec 31, 2022 (+72.6%) and $289.8 million in the year ended Dec 31, 2021 (+17.5%).
- Quarterly Inventory has moved between $289.8 million (the quarter ended Dec 31, 2021) and $511.56 million (the quarter ended Sep 30, 2022) over five years.
- Compared with a year earlier, Inventory was higher in two of the last eight quarters, with an average decline of 6.3%.
- The best year-over-year quarter for Inventory over five years was the quarter ended Dec 31, 2022 (growth of 72.6%); the worst was the quarter ended Sep 30, 2023 (a decline of 25.0%).
- Per Business Quant data, GSM's Inventory in the three quarters before the quarter ended Jun 30, 2026 was $334.27 million (quarter ended Mar 31, 2026), $306.16 million (quarter ended Dec 31, 2025) and $369.39 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | 324.00 Mn |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 1.06 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 1.48 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | 4.40 Bn |
| 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 | 1.62 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 2.09 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 6.02 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | 19.28 Bn |
| 10 | Ferroglobe | 741.84 Mn | 284.79 Mn | - | 321.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 321.44 Mn |
| Mar 31, 2026 | 334.27 Mn |
| Dec 31, 2025 | 306.16 Mn |
| Sep 30, 2025 | 369.39 Mn |
| Jun 30, 2025 | 325.96 Mn |
| Mar 31, 2025 | 314.84 Mn |
| Dec 31, 2024 | 347.14 Mn |
| Sep 30, 2024 | 407.78 Mn |
| Jun 30, 2024 | 397.44 Mn |
| Mar 31, 2024 | 361.60 Mn |
| Dec 31, 2023 | 383.84 Mn |
| Sep 30, 2023 | 383.45 Mn |
| Jun 30, 2023 | 384.53 Mn |
| Mar 31, 2023 | 417.04 Mn |
| Dec 31, 2022 | 500.08 Mn |
| Sep 30, 2022 | 511.56 Mn |
| Jun 30, 2022 | 403.00 Mn |
| Mar 31, 2022 | 362.30 Mn |
| Dec 31, 2021 | 289.80 Mn |
| Sep 30, 2021 | 284.49 Mn |
Ferroglobe Inventory 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=inventory&ticker=GSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();