Ferroglobe (GSM) Enterprise Value (2013 - 2026)
Ferroglobe's Enterprise Value came in at $501.13 million for the quarter ended Jun 30, 2026, down 11.3% from $564.69 million a year earlier and down 25.6% from the prior quarter.
Ferroglobe (GSM) Enterprise Value (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ferroglobe reported Enterprise Value of $137.17 million, down 16.7% year-over-year; for the year ended Dec 31, 2025, it came in at $829.76 million, up 21.2% from the prior year.
- Enterprise Value carries a five-year compound annual growth rate of 23.5% (years ended Dec 2020 to Dec 2025).
- Going back by year, Enterprise Value was $684.37 million in the year ended Dec 31, 2024 (-43.4%), $1.21 billion in the year ended Dec 31, 2023 (+136.8%), $510.43 million in the year ended Dec 31, 2022 (-55.8%) and $1.15 billion in the year ended Dec 31, 2021 (+300.6%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Enterprise Value since the quarter ended Dec 31, 2020.
- Year-over-year, Enterprise Value increased in two of the last eight quarters, with an average decline of 10.9%.
- The fastest year-over-year change in Enterprise Value over five years came in the quarter ended Dec 31, 2021 (growth of 300.6%), and the weakest in the quarter ended Dec 31, 2022 (a decline of 55.8%).
- Business Quant data shows GSM's Enterprise Value at $673.63 million (quarter ended Mar 31, 2026), $829.76 million (quarter ended Dec 31, 2025) and $715.34 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) |
|---|---|---|---|---|
| 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
| Date | Value |
|---|---|
| Jun 30, 2026 | 501.13 Mn |
| Mar 31, 2026 | 673.63 Mn |
| Dec 31, 2025 | 829.76 Mn |
| Sep 30, 2025 | 715.34 Mn |
| Jun 30, 2025 | 564.69 Mn |
| Mar 31, 2025 | 554.54 Mn |
| Dec 31, 2024 | 684.37 Mn |
| Sep 30, 2024 | 748.07 Mn |
| Jun 30, 2024 | 865.88 Mn |
| Mar 31, 2024 | 776.20 Mn |
| Dec 31, 2023 | 1.21 Bn |
| Sep 30, 2023 | 812.85 Mn |
| Jun 30, 2023 | 535.45 Mn |
| Mar 31, 2023 | 586.31 Mn |
| Dec 31, 2022 | 510.43 Mn |
| Sep 30, 2022 | 754.17 Mn |
| Jun 30, 2022 | 808.00 Mn |
| Mar 31, 2022 | 1.27 Bn |
| Dec 31, 2021 | 1.15 Bn |
| Sep 30, 2021 | 1.38 Bn |
Ferroglobe Enterprise Value 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=enterprise-value&ticker=GSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();