Gold Fields (GFI) Non-Current Assets (2009 - 2025)
Gold Fields' Non-Current Assets was $12.18 billion in Q4 2025, up 48.6% from $8.2 billion a year earlier.
Analysis
Gold Fields (GFI) Non-Current Assets (2009 - 2025) Analysis & Trends
From Q4 2010 onward, Gold Fields has reported Non-Current Assets for 18 quarters.
- Non-Current Assets shows a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $8.2 billion in FY2024, $473.5 million in FY2023 (-93.4%), $7.16 billion in FY2022 (-0.2%) and $7.18 billion in FY2021 (+25.0%).
- The Q4 2025 figure marks the highest quarterly Non-Current Assets since Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Citigroup | 205.25 Bn | -2,192.43 Bn | 23.76 Bn | - |
| 2 | Bhp | 201.96 Bn | 156.98 Bn | - | 90.35 Bn |
| 3 | Bank Of Nova Scotia | 114.44 Bn | -316.95 Bn | - | - |
| 4 | Vylor | 48.40 Bn | 46.20 Bn | 313.00 Mn | 15.38 Bn |
| 5 | Nokia | 46.28 Bn | 46.28 Bn | 2.58 Bn | - |
| 6 | Haleon | 41.09 Bn | 34.80 Bn | - | 37.50 Bn |
| 7 | Gold Fields | 32.02 Bn | 28.94 Bn | - | 12.18 Bn |
| 8 | Smith & Nephew | 27.46 Bn | 24.86 Bn | - | 6.63 Bn |
| 9 | Sprott Physical Gold Trust | 13.93 Bn | 13.78 Bn | - | - |
| 10 | Magnum Ice Cream | 12.19 Bn | 10.88 Bn | - | 5.72 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 12.18 Bn |
| Sep 26, 2025 | 527.70 Mn |
| Dec 31, 2024 | 8.20 Bn |
| Dec 31, 2023 | 6.34 Bn |
| Dec 31, 2022 | 5.54 Bn |
| Jun 30, 2022 | 13.79 Bn |
| Dec 31, 2021 | 5.93 Bn |
| Dec 31, 2020 | 5.71 Bn |
| Dec 31, 2019 | 5.46 Bn |
| Dec 31, 2018 | 5.18 Bn |
| Dec 31, 2017 | 5.51 Bn |
| Dec 31, 2016 | 5.26 Bn |
| Dec 31, 2015 | 4.95 Bn |
| Dec 31, 2014 | 5.75 Bn |
| Dec 31, 2013 | 6.24 Bn |
| Dec 31, 2012 | 7.20 Bn |
| Dec 31, 2011 | 8.36 Bn |
| Dec 31, 2010 | 9.12 Bn |
| Jun 30, 2010 | 8.05 Bn |
| Jun 30, 2009 | 7.32 Bn |
API Access
Gold Fields Non-Current 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=non-current-assets&ticker=GFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();