Gold Fields (GFI) Retained Earnings (2009 - 2025)
Gold Fields' (GFI) quarterly Retained Earnings came in at $6.7 billion in Q4 2025, up 73.08% on a YoY basis from $3.9 billion in Q4 2024, and up 1651.65% quarter-over-quarter from $381.2 million in Q3 2025.
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Analysis
Gold Fields (GFI) Retained Earnings (2009 - 2025) Analysis & Trends
Gold Fields (GFI) has reported Retained Earnings for 14 consecutive years, with $6.7 billion the latest figure, recorded in Q4 2025.
- For the quarter ending Q4 2025, Retained Earnings rose 73.08% year-over-year to $6.7 billion; the trailing twelve-month figure through Dec 2025 stood at $6.7 billion (up 73.08% YoY), and the FY2025 full-year result was $6.7 billion, up 73.08% from the prior year.
- Retained Earnings climbed to $6.7 billion in Q4 2025 per GFI's latest filing, from $381.2 million in the prior quarter.
- Across five years, Retained Earnings topped out at $6.7 billion in Q4 2025 and bottomed at $381.2 million in Q3 2025.
- Historically, Retained Earnings has averaged $3.2 billion across 4 years, with a median of $2.6 billion in 2022.
- The sharpest annual moves came in 2022 and 2025: Retained Earnings grew 18.29% in 2022, then jumped 73.08% in 2025.
- Over 4 years, Retained Earnings stood at $2.2 billion in 2021, then climbed by 18.29% to $2.6 billion in 2022, then jumped by 46.74% to $3.9 billion in 2024, then surged by 73.08% to $6.7 billion in 2025.
- According to Business Quant data, Retained Earnings over the past three periods registered $6.7 billion, $381.2 million, and $3.9 billion for Q4 2025, Q3 2025, and Q4 2024 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | 20.47 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 90.95 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 12.59 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | 223.99 Bn |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | 62.00 Mn |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | 8.29 Bn |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | 49.29 Bn |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | - |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | - |
| 10 | Gold Fields | 38.03 Bn | 36.49 Bn | - | 6.68 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 6.68 Bn |
| Sep 26, 2025 | 381.20 Mn |
| Dec 31, 2024 | 3.86 Bn |
| Dec 31, 2022 | 2.63 Bn |
| Dec 31, 2021 | 2.22 Bn |
| Dec 31, 2020 | 1.76 Bn |
| Dec 31, 2019 | 1.19 Bn |
| Dec 31, 2018 | 1.07 Bn |
| Dec 31, 2017 | 1.47 Bn |
| Dec 31, 2014 | 1.70 Bn |
| Dec 31, 2013 | 1.72 Bn |
| Dec 31, 2012 | 1.05 Bn |
| Dec 31, 2011 | 772.50 Mn |
| Dec 31, 2010 | 769.94 Mn |
| Jun 30, 2010 | 737.64 Mn |
| Jun 30, 2009 | 4.94 Bn |
API Access
Gold Fields 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=GFI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "GFI", "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=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();