Ferroglobe (GSM) Price to Sales (2016 - 2026)
Ferroglobe's Price to Sales was 0.43 in the quarter ended Jun 30, 2026, down 5.1% from 0.46 a year earlier and down 22.4% from the prior quarter.
Ferroglobe (GSM) Price to Sales (2016 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Price to Sales at Ferroglobe came in at 0.65, up 50.5% from the prior year.
- In earlier years, Price to Sales was 0.43 in the year ended Dec 31, 2024 (-41.8%), 0.74 in the year ended Dec 31, 2023 (+166.9%), 0.28 in the year ended Dec 31, 2022 (-57.5%) and 0.65 in the year ended Dec 31, 2021 (+169.7%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Price to Sales since the quarter ended Dec 31, 2024.
- Compared with a year earlier, Price to Sales was higher in three of the last eight quarters, with an average decline of 1.0%.
- The best year-over-year quarter for Price to Sales over five years was the quarter ended Dec 31, 2021 (growth of 200.2%); the worst was the quarter ended Dec 31, 2024 (a decline of 41.8%).
- Per Business Quant data, GSM's Price to Sales in the three quarters before the quarter ended Jun 30, 2026 was 0.56 (quarter ended Mar 31, 2026), 0.65 (quarter ended Dec 31, 2025) and 0.62 (quarter ended Sep 30, 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.43 |
| Mar 31, 2026 | 0.56 |
| Dec 31, 2025 | 0.65 |
| Sep 30, 2025 | 0.62 |
| Jun 30, 2025 | 0.46 |
| Mar 31, 2025 | 0.44 |
| Dec 31, 2024 | 0.43 |
| Sep 30, 2024 | 0.53 |
| Jun 30, 2024 | 0.62 |
| Mar 31, 2024 | 0.57 |
| Dec 31, 2023 | 0.74 |
| Sep 30, 2023 | 0.57 |
| Jun 30, 2023 | 0.47 |
| Mar 31, 2023 | 0.41 |
| Dec 31, 2022 | 0.28 |
| Sep 30, 2022 | 0.36 |
| Jun 30, 2022 | 0.44 |
| Mar 31, 2022 | 0.68 |
| Dec 31, 2021 | 0.65 |
| Sep 30, 2021 | 0.96 |
Ferroglobe Price to Sales 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-sales&ticker=GSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();