Ferroglobe (GSM) Price to Earnings (2018 - 2024)
Ferroglobe's (GSM) Price to Earnings stood at 30.85 in the quarter ended Dec 31, 2024, up 108.5% from 14.80 a year earlier and up 41.6% from the prior quarter.
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Analysis
Ferroglobe (GSM) Price to Earnings (2018 - 2024) Analysis & Trends
For the year ended Dec 31, 2024, Ferroglobe's Price to Earnings came in at 30.13, up 103.6% from the prior year.
- Across earlier years, Price to Earnings came in at 14.80 in the year ended Dec 31, 2023 (+802.9%) and 1.64 in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2024 is the highest quarterly Price to Earnings since the quarter ended Dec 31, 2018.
- On a year-over-year basis, Price to Earnings has increased for six consecutive quarters, with growth averaging 257.3% over the last seven quarters.
- Per Business Quant, the preceding three quarters came in at 21.79 (quarter ended Sep 30, 2024), 16.22 (quarter ended Jun 30, 2024) and 15.83 (quarter ended Mar 31, 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - |
| 10 | Ferroglobe | 796.03 Mn | 338.98 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 30.85 |
| Sep 30, 2024 | 21.79 |
| Jun 30, 2024 | 16.22 |
| Mar 31, 2024 | 15.83 |
| Dec 31, 2023 | 14.80 |
| Sep 30, 2023 | 9.75 |
| Jun 30, 2023 | 5.70 |
| Mar 31, 2023 | 2.99 |
| Dec 31, 2022 | 1.64 |
| Sep 30, 2022 | 3.06 |
| Jun 30, 2022 | 8.61 |
| Dec 31, 2018 | 42.66 |
| Sep 30, 2018 | 22.60 |
| Jun 30, 2018 | 22.24 |
API Access
Ferroglobe Price to Earnings 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=price-to-earnings&ticker=GSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();