Gold Fields (GFI) Other Accumulated Expenses (2013 - 2025)
Gold Fields' (GFI) quarterly Other Accumulated Expenses came in at $45.3 million in Q4 2025, up 47.56% on a YoY basis from $30.7 million in Q4 2024, and up 47.56% quarter-over-quarter from $30.7 million in Q4 2024.
Gold Fields (GFI) Other Accumulated Expenses (2013 - 2025) Analysis & Trends
Gold Fields (GFI) has reported Other Accumulated Expenses for 13 consecutive years, with $45.3 million the latest figure, recorded in Q4 2025.
- For the quarter ending Q4 2025, Other Accumulated Expenses rose 47.56% year-over-year to $45.3 million; the trailing twelve-month figure through Dec 2025 stood at $45.3 million (up 47.56% YoY), and the FY2025 full-year result was $45.3 million, up 47.56% from the prior year.
- Other Accumulated Expenses climbed to $45.3 million in Q4 2025 per GFI's latest filing, from $30.7 million in the prior quarter.
- Across five years, Other Accumulated Expenses topped out at $994.4 million in Q2 2022 and bottomed at $17.9 million in Q4 2022.
- Historically, Other Accumulated Expenses has averaged $188.3 million across 5 years, with a median of $25.8 million in 2023.
- The sharpest annual moves came in 2022 and 2025: Other Accumulated Expenses dropped 13.11% in 2022, then surged 47.56% in 2025.
- Over 5 years, Other Accumulated Expenses stood at $20.6 million in 2021, then fell by 13.11% to $17.9 million in 2022, then rose by 17.32% to $21.0 million in 2023, then soared by 46.19% to $30.7 million in 2024, then soared by 47.56% to $45.3 million in 2025.
- According to Business Quant data, Other Accumulated Expenses over the past three periods registered $45.3 million, $30.7 million, and $21.0 million for Q4 2025, Q4 2024, and Q4 2023 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - |
| 7 | Rio Tinto | 188.09 Bn | 183.71 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 | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 45.30 Mn |
| Dec 31, 2024 | 30.70 Mn |
| Dec 31, 2023 | 21.00 Mn |
| Dec 31, 2022 | 17.90 Mn |
| Jun 30, 2022 | 994.40 Mn |
| Dec 31, 2021 | 20.60 Mn |
| Dec 31, 2020 | 17.70 Mn |
| Dec 31, 2019 | 13.90 Mn |
| Dec 31, 2018 | 12.50 Mn |
| Dec 31, 2017 | 66.04 Mn |
| Dec 31, 2016 | 20.20 Mn |
| Dec 31, 2015 | 18.50 Mn |
| Dec 31, 2014 | 20.40 Mn |
| Dec 31, 2013 | 23.10 Mn |
Gold Fields Other Accumulated Expenses 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=other-accumulated-expenses&ticker=GFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();