Ferroglobe (GSM) EBITDA (2015 - 2026)
Ferroglobe (GSM) posted EBITDA of $72.5 million for the quarter ended Jun 30, 2026, up 168.1% from $27.04 million a year earlier and up 715.8% from the prior quarter.
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Analysis
Ferroglobe (GSM) EBITDA (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Ferroglobe was -$4.95 million; for the year ended Dec 31, 2025, it came in at -$48.51 million.
- In prior years, Ferroglobe's EBITDA was $113.64 million in the year ended Dec 31, 2024 (-58.0%), $270.47 million in the year ended Dec 31, 2023 (-63.6%), $742.11 million in the year ended Dec 31, 2022 (+476.6%) and $128.71 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly EBITDA since the quarter ended Sep 30, 2023.
- On a year-over-year basis, EBITDA increased in 1 of the last four quarters, with growth averaging 1.0%.
- The strongest year-over-year quarter for EBITDA in the past five years was the quarter ended Jun 30, 2026, with growth of 168.1%; the weakest was the quarter ended Mar 31, 2023, with a decline of 72.1%.
- According to Business Quant data, EBITDA for the three prior quarters was $8.89 million (quarter ended Mar 31, 2026), -$104.28 million (quarter ended Dec 31, 2025) and $17.95 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 1.61 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | 722.41 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 2.53 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 | 3.29 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 2.01 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | - |
| 10 | Ferroglobe | 741.84 Mn | 284.79 Mn | - | 72.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.50 Mn |
| Mar 31, 2026 | 8.89 Mn |
| Dec 31, 2025 | -104.28 Mn |
| Sep 30, 2025 | 17.95 Mn |
| Jun 30, 2025 | 27.04 Mn |
| Mar 31, 2025 | -38.16 Mn |
| Dec 31, 2024 | -30.52 Mn |
| Sep 30, 2024 | 59.50 Mn |
| Jun 30, 2024 | 63.43 Mn |
| Mar 31, 2024 | 21.23 Mn |
| Dec 31, 2023 | 34.31 Mn |
| Sep 30, 2023 | 94.42 Mn |
| Jun 30, 2023 | 79.30 Mn |
| Mar 31, 2023 | 62.44 Mn |
| Dec 31, 2022 | 50.24 Mn |
| Sep 30, 2022 | 171.05 Mn |
| Jun 30, 2022 | 278.13 Mn |
| Mar 31, 2022 | 223.59 Mn |
| Dec 31, 2021 | 74.40 Mn |
| Sep 30, 2021 | 114.64 Mn |
API Access
Ferroglobe 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=ebitda&ticker=GSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();