Ferroglobe (GSM) EV to CFO (2016 - 2026)
Ferroglobe's (GSM) EV to CFO was 10.47 for the quarter ended Jun 30, 2026, up 45.0% from 7.22 a year earlier but down 58.8% from the prior quarter.
Ferroglobe (GSM) EV to CFO (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ferroglobe's EV to CFO came in at 2.87, up 36.1% year-over-year; for the year ended Dec 31, 2025, it was 16.12, up 473.1% from the prior year.
- By year, EV to CFO came in at 2.81 in the year ended Dec 31, 2024 (-58.5%), 6.78 in the year ended Dec 31, 2023 (+437.6%), 1.26 in the year ended Dec 31, 2022 and 18.63 in the year ended Jun 30, 2021.
- Five-year quarterly EV to CFO spans a low of 1.25 in the quarter ended Mar 31, 2023 and a high of 47.46 in the quarter ended Mar 31, 2022.
- Year over year, EV to CFO has now increased in each of the last six quarters, with growth averaging 133.6% over the last eight quarters.
- The high point for year-over-year EV to CFO in five years was the quarter ended Dec 31, 2025 (growth of 473.1%); the low point was the quarter ended Mar 31, 2023 (a decline of 97.4%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at 25.40 (quarter ended Mar 31, 2026), 16.12 (quarter ended Dec 31, 2025) and 8.14 (quarter ended Sep 30, 2025).
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 | 10.47 |
| Mar 31, 2026 | 25.40 |
| Dec 31, 2025 | 16.12 |
| Sep 30, 2025 | 8.14 |
| Jun 30, 2025 | 7.22 |
| Mar 31, 2025 | 8.59 |
| Dec 31, 2024 | 2.81 |
| Sep 30, 2024 | 3.12 |
| Jun 30, 2024 | 3.93 |
| Mar 31, 2024 | 3.21 |
| Dec 31, 2023 | 6.78 |
| Sep 30, 2023 | 3.08 |
| Jun 30, 2023 | 1.64 |
| Mar 31, 2023 | 1.25 |
| Dec 31, 2022 | 1.28 |
| Sep 30, 2022 | 2.65 |
| Jun 30, 2022 | 4.15 |
| Mar 31, 2022 | 47.46 |
| Jun 30, 2021 | 25.11 |
| Mar 31, 2021 | 5.01 |
Ferroglobe EV to CFO 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=ev-to-cfo&ticker=GSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();