Gold Fields (GFI) Operating Leases (2018 - 2025)
Gold Fields' (GFI) quarterly Operating Leases came in at $379.1 million in Q4 2025, up 4.35% on a YoY basis from $363.3 million in Q4 2024, and up 490.5% quarter-over-quarter from $64.2 million in Q3 2025.
Gold Fields (GFI) Operating Leases (2018 - 2025) Analysis & Trends
Gold Fields (GFI) has reported Operating Leases for 8 consecutive years, with $379.1 million the latest figure, recorded in Q4 2025.
- For the quarter ending Q4 2025, Operating Leases rose 4.35% year-over-year to $379.1 million; the trailing twelve-month figure through Dec 2025 stood at $379.1 million (up 4.35% YoY), and the FY2025 full-year result was $379.1 million, up 4.35% from the prior year.
- Operating Leases grew to $379.1 million in Q4 2025 per GFI's latest filing, from $64.2 million in the prior quarter.
- Across five years, Operating Leases topped out at $385.3 million in Q2 2022 and bottomed at $64.2 million in Q3 2025.
- Historically, Operating Leases has averaged $277.4 million across 5 years, with a median of $355.1 million in 2021.
- The sharpest annual moves came in 2023 and 2024: Operating Leases tumbled 80.31% in 2023, then soared 458.92% in 2024.
- Over 5 years, Operating Leases stood at $355.1 million in 2021, then dropped by 7.04% to $330.1 million in 2022, then sank by 80.31% to $65.0 million in 2023, then jumped by 458.92% to $363.3 million in 2024, then climbed by 4.35% to $379.1 million in 2025.
- According to Business Quant data, Operating Leases over the past three periods registered $379.1 million, $64.2 million, and $363.3 million for Q4 2025, Q3 2025, and Q4 2024 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 | 379.10 Mn |
| Sep 26, 2025 | 64.20 Mn |
| Dec 31, 2024 | 363.30 Mn |
| Dec 31, 2023 | 65.00 Mn |
| Dec 31, 2022 | 330.10 Mn |
| Jun 30, 2022 | 385.30 Mn |
| Dec 31, 2021 | 355.10 Mn |
| Dec 31, 2020 | 364.80 Mn |
| Dec 31, 2019 | 287.70 Mn |
| Dec 31, 2018 | 287.70 Mn |
Gold Fields Operating Leases 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=operating-leases&ticker=GFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();