Gold Fields (GFI) Other Accumulated Expenses (2009 - 2025)
Gold Fields' Other Accumulated Expenses was $45.3 million in Q4 2025, up 47.6% from $30.7 million a year earlier.
Analysis
Gold Fields (GFI) Other Accumulated Expenses (2009 - 2025) Analysis & Trends
From Q4 2010 onward, Gold Fields has reported Other Accumulated Expenses for 17 quarters.
- Other Accumulated Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $30.7 million in FY2024 (+46.2%), $21 million in FY2023 (+17.3%), $17.9 million in FY2022 (-13.1%) and $20.6 million in FY2021 (+16.4%).
- The Q4 2025 figure marks the highest quarterly Other Accumulated Expenses since Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Citigroup | 205.25 Bn | -2,192.43 Bn | 23.76 Bn |
| 2 | Bhp | 201.96 Bn | 156.98 Bn | - |
| 3 | Bank Of Nova Scotia | 114.44 Bn | -316.95 Bn | - |
| 4 | Vylor | 48.40 Bn | 46.20 Bn | 313.00 Mn |
| 5 | Nokia | 46.28 Bn | 46.28 Bn | 2.58 Bn |
| 6 | Haleon | 41.09 Bn | 34.80 Bn | - |
| 7 | Gold Fields | 32.02 Bn | 28.94 Bn | - |
| 8 | Smith & Nephew | 27.46 Bn | 24.86 Bn | - |
| 9 | Sprott Physical Gold Trust | 13.93 Bn | 13.78 Bn | - |
| 10 | Magnum Ice Cream | 12.19 Bn | 10.88 Bn | - |
Historic Data
Download Data
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 | 660.40 Mn |
| Dec 31, 2016 | 20.20 Mn |
| Dec 31, 2015 | 9.60 Mn |
| Dec 31, 2014 | 27.70 Mn |
| Dec 31, 2013 | 15.10 Mn |
| Dec 31, 2012 | 27.60 Mn |
| Dec 31, 2011 | 21.90 Mn |
| Dec 31, 2010 | 17.00 Mn |
| Jun 30, 2010 | 31.40 Mn |
| Jun 30, 2009 | 11.80 Mn |
API Access
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();