Ferroglobe (GSM) Retained Earnings (2017 - 2025)
Ferroglobe's Retained Earnings was $905.24 million in the quarter ended Dec 31, 2025, up 1.7% from $890.35 million a year earlier.
Analysis
Ferroglobe (GSM) Retained Earnings (2017 - 2025) Analysis & Trends
From the quarter ended Dec 31, 2014 onward, Ferroglobe has reported Retained Earnings for 13 quarters.
- Retained Earnings has now increased for three consecutive years, with a five-year compound annual growth rate of 5.4% (years ended Dec 2020 to Dec 2025).
- In earlier years, Retained Earnings was $890.35 million in the year ended Dec 31, 2024 (+9.6%), $812.59 million in the year ended Dec 31, 2023 (+129.9%), $353.45 million in the year ended Dec 31, 2022 (-35.1%) and $544.43 million in the year ended Dec 31, 2021 (-21.9%).
- The figure for the quarter ended Dec 31, 2025 marks the highest quarterly Retained Earnings since the quarter ended Dec 31, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 49.29 Bn |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | 4.59 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | 46.58 Bn |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 5.72 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 2.82 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | 8.13 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 582.00 Mn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 33.15 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | - |
| 10 | Ferroglobe | 788.29 Mn | 304.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 679.81 Mn |
| Dec 31, 2024 | 711.26 Mn |
| Dec 31, 2023 | 739.52 Mn |
| Dec 31, 2022 | 734.10 Mn |
| Dec 31, 2021 | 774.53 Mn |
| Dec 31, 2020 | 797.88 Mn |
| Dec 31, 2019 | 793.73 Mn |
| Dec 31, 2018 | 1.27 Bn |
| Dec 31, 2017 | 1.33 Bn |
API Access
Ferroglobe Retained 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=retained-earnings&ticker=GSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-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=retained-earnings&ticker=GSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();