Gold Fields (GFI) Receivables - Net (2009 - 2025)
Gold Fields' (GFI) quarterly Receivables - Net came in at $380.7 million in Q4 2025, up 12.7% on a YoY basis from $337.8 million in Q4 2024, and up 12.7% quarter-over-quarter from $337.8 million in Q4 2024.
Gold Fields (GFI) Receivables - Net (2009 - 2025) Analysis & Trends
Gold Fields (GFI) has reported Receivables - Net for 15 consecutive years, with $380.7 million the latest figure, recorded in Q4 2025.
- For the quarter ending Q4 2025, Receivables - Net rose 12.7% year-over-year to $380.7 million; the trailing twelve-month figure through Dec 2025 stood at $380.7 million (up 12.7% YoY), and the FY2025 full-year result was $380.7 million, up 12.7% from the prior year.
- Receivables - Net advanced to $380.7 million in Q4 2025 per GFI's latest filing, from $337.8 million in the prior quarter.
- Across five years, Receivables - Net topped out at $380.7 million in Q4 2025 and bottomed at $198.0 million in Q4 2022.
- Historically, Receivables - Net has averaged $286.3 million across 5 years, with a median of $263.7 million in 2021.
- The sharpest annual moves came in 2022 and 2024: Receivables - Net dropped 24.91% in 2022, then soared 34.37% in 2024.
- Over 5 years, Receivables - Net stood at $263.7 million in 2021, then decreased by 24.91% to $198.0 million in 2022, then advanced by 26.97% to $251.4 million in 2023, then soared by 34.37% to $337.8 million in 2024, then increased by 12.7% to $380.7 million in 2025.
- According to Business Quant data, Receivables - Net over the past three periods registered $380.7 million, $337.8 million, and $251.4 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 | 380.70 Mn |
| Dec 31, 2024 | 337.80 Mn |
| Dec 31, 2023 | 251.40 Mn |
| Dec 31, 2022 | 198.00 Mn |
| Dec 31, 2021 | 263.70 Mn |
| Dec 31, 2020 | 240.10 Mn |
| Dec 31, 2019 | 136.00 Mn |
| Dec 31, 2018 | 138.60 Mn |
| Dec 31, 2017 | 171.80 Mn |
| Dec 31, 2014 | 226.50 Mn |
| Dec 31, 2013 | 272.70 Mn |
| Dec 31, 2012 | 522.70 Mn |
| Dec 31, 2011 | 483.40 Mn |
| Dec 31, 2010 | 406.30 Mn |
| Jun 30, 2010 | 269.98 Mn |
| Jun 30, 2009 | 383.50 Mn |
Gold Fields Receivables - Net 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=receivables-net&ticker=GFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();