Gold Fields (GFI) Assets (2009 - 2025)
Gold Fields' (GFI) quarterly Assets came in at $15.2 billion in Q4 2025, up 50.11% on a YoY basis from $10.1 billion in Q4 2024, and up 2426.17% quarter-over-quarter from $602.7 million in Q3 2025.
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Analysis
Gold Fields (GFI) Assets (2009 - 2025) Analysis & Trends
Gold Fields (GFI) has reported Assets for 15 consecutive years, with $15.2 billion the latest figure, recorded in Q4 2025.
- For the quarter ending Q4 2025, Assets rose 50.11% year-over-year to $15.2 billion; the trailing twelve-month figure through Dec 2025 stood at $15.2 billion (up 50.11% YoY), and the FY2025 full-year result was $15.2 billion, up 50.11% from the prior year.
- Assets improved to $15.2 billion in Q4 2025 per GFI's latest filing, from $602.7 million in the prior quarter.
- Across five years, Assets topped out at $16.1 billion in Q2 2022 and bottomed at $541.7 million in Q4 2023.
- Historically, Assets has averaged $8.2 billion across 5 years, with a median of $7.3 billion in 2021.
- The sharpest annual moves came in 2023 and 2024: Assets slumped 92.62% in 2023, then jumped 1772.42% in 2024.
- Over 5 years, Assets stood at $7.3 billion in 2021, then declined by 0.15% to $7.3 billion in 2022, then tumbled by 92.62% to $541.7 million in 2023, then surged by 1772.42% to $10.1 billion in 2024, then surged by 50.11% to $15.2 billion in 2025.
- According to Business Quant data, Assets over the past three periods registered $15.2 billion, $602.7 million, and $10.1 billion for Q4 2025, Q3 2025, and Q4 2024 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | 58.86 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 127.67 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 115.83 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | 2,895.00 Bn |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | 29.20 Bn |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | 46.85 Bn |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | 133.50 Bn |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 11.87 Bn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | 89.42 Bn |
| 10 | Gold Fields | 38.03 Bn | 36.49 Bn | - | 15.23 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 15.23 Bn |
| Sep 26, 2025 | 602.70 Mn |
| Dec 31, 2024 | 10.14 Bn |
| Dec 31, 2023 | 541.70 Mn |
| Dec 31, 2022 | 7.34 Bn |
| Jun 30, 2022 | 16.06 Bn |
| Dec 31, 2021 | 7.35 Bn |
| Dec 31, 2020 | 7.47 Bn |
| Dec 31, 2019 | 6.56 Bn |
| Dec 31, 2018 | 5.91 Bn |
| Dec 31, 2017 | 6.62 Bn |
| Dec 31, 2014 | 6.85 Bn |
| Dec 31, 2013 | 7.30 Bn |
| Dec 31, 2012 | 10.65 Bn |
| Dec 31, 2011 | 10.08 Bn |
| Dec 31, 2010 | 10.58 Bn |
| Jun 30, 2010 | 8.12 Bn |
| Jun 30, 2009 | 8.34 Bn |
API Access
Gold Fields Assets 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=assets&ticker=GFI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();