Gold Fields (GFI) Total Liabilities (2009 - 2025)
Gold Fields' (GFI) quarterly Total Liabilities came in at $6.6 billion in Q4 2025, up 37.2% on a YoY basis from $4.8 billion in Q4 2024, and up 37.2% quarter-over-quarter from $4.8 billion in Q4 2024.
Gold Fields (GFI) Total Liabilities (2009 - 2025) Analysis & Trends
Gold Fields (GFI) has reported Total Liabilities for 17 consecutive years, with $6.6 billion the latest figure, recorded in Q4 2025.
- For the quarter ending Q4 2025, Total Liabilities rose 37.2% year-over-year to $6.6 billion; the trailing twelve-month figure through Dec 2025 stood at $6.6 billion (up 37.2% YoY), and the FY2025 full-year result was $6.6 billion, up 37.2% from the prior year.
- Total Liabilities climbed to $6.6 billion in Q4 2025 per GFI's latest filing, from $4.8 billion in the prior quarter.
- Across five years, Total Liabilities topped out at $6.8 billion in Q2 2022 and bottomed at $3.0 billion in Q4 2022.
- Historically, Total Liabilities has averaged $4.7 billion across 5 years, with a median of $4.2 billion in 2023.
- The sharpest annual moves came in 2021 and 2025: Total Liabilities dropped 11.69% in 2021, then jumped 37.2% in 2025.
- Over 5 years, Total Liabilities stood at $3.2 billion in 2021, then slipped by 6.84% to $3.0 billion in 2022, then increased by 20.27% to $3.6 billion in 2023, then jumped by 32.43% to $4.8 billion in 2024, then surged by 37.2% to $6.6 billion in 2025.
- According to Business Quant data, Total Liabilities over the past three periods registered $6.6 billion, $4.8 billion, and $3.6 billion for Q4 2025, Q4 2024, and Q4 2023 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | 36.03 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 109.81 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | -65.46 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | 2,680.20 Bn |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | 65.07 Bn |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | -33.89 Bn |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | -61.80 Bn |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 7.62 Bn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | 68.14 Bn |
| 10 | Gold Fields | 38.03 Bn | 36.49 Bn | - | 6.55 Bn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 6.55 Bn |
| Dec 31, 2024 | 4.78 Bn |
| Dec 31, 2023 | 3.61 Bn |
| Dec 31, 2022 | 3.00 Bn |
| Jun 30, 2022 | 6.75 Bn |
| Dec 31, 2021 | 3.22 Bn |
| Dec 31, 2020 | 3.64 Bn |
| Dec 31, 2019 | 3.65 Bn |
| Dec 31, 2018 | 3.20 Bn |
| Dec 31, 2017 | 3.10 Bn |
| Dec 31, 2016 | 3.14 Bn |
| Dec 31, 2015 | 3.10 Bn |
| Dec 31, 2014 | 3.19 Bn |
| Dec 31, 2013 | 3.16 Bn |
| Dec 31, 2012 | 4.61 Bn |
| Dec 31, 2011 | 4.23 Bn |
| Dec 31, 2010 | 3.58 Bn |
| Jun 30, 2010 | 2.69 Bn |
| Jun 30, 2009 | 2.83 Bn |
Gold Fields Total Liabilities 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=total-liabilities&ticker=GFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();