Ferroglobe (GSM) EV to EBITDA (2017 - 2025)
Ferroglobe's (GSM) EV to EBITDA stood at 31.61 in the quarter ended Jun 30, 2025, up 679.0% from 4.06 a year earlier and up 209.2% from the prior quarter.
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Analysis
Ferroglobe (GSM) EV to EBITDA (2017 - 2025) Analysis & Trends
On a TTM basis, Ferroglobe's EV to EBITDA came in at 9.21 as of Jun 30, 2025, up 381.7% year-over-year; for the year ended Dec 31, 2024, it was 6.02, up 34.8% from the prior year.
- Across earlier years, EV to EBITDA came in at 4.47 in the year ended Dec 31, 2023 (+549.6%), 0.69 in the year ended Dec 31, 2022 (-92.3%) and 8.97 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2025 is the highest quarterly EV to EBITDA in data going back to the quarter ended Dec 31, 2017.
- On a year-over-year basis, EV to EBITDA has increased for nine consecutive quarters, with growth averaging 259.6% over the last eight quarters.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 679.0% in the quarter ended Jun 30, 2025, against a decline of 89.5% in the quarter ended Dec 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 10.22 (quarter ended Mar 31, 2025), 6.02 (quarter ended Dec 31, 2024) and 4.19 (quarter ended Sep 30, 2024).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 31.61 |
| Mar 31, 2025 | 10.22 |
| Dec 31, 2024 | 6.02 |
| Sep 30, 2024 | 4.19 |
| Jun 30, 2024 | 4.06 |
| Mar 31, 2024 | 3.39 |
| Dec 31, 2023 | 4.47 |
| Sep 30, 2023 | 2.84 |
| Jun 30, 2023 | 1.47 |
| Mar 31, 2023 | 1.04 |
| Dec 31, 2022 | 0.71 |
| Sep 30, 2022 | 1.01 |
| Jun 30, 2022 | 1.17 |
| Mar 31, 2022 | 2.93 |
| Dec 31, 2021 | 6.40 |
| Mar 31, 2019 | 2.05 |
| Dec 31, 2018 | 1.79 |
| Sep 30, 2018 | 6.34 |
| Jun 30, 2018 | 6.66 |
| Dec 31, 2017 | 26.65 |
API Access
Ferroglobe EV to EBITDA 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-ebitda&ticker=GSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();