Gold Fields (GFI) Receivables (2009 - 2025)
Gold Fields' (GFI) quarterly Receivables came in at $398.4 million in Q4 2025, up 11.41% on a YoY basis from $357.6 million in Q4 2024, and up 11.41% quarter-over-quarter from $357.6 million in Q4 2024.
Gold Fields (GFI) Receivables (2009 - 2025) Analysis & Trends
Gold Fields (GFI) has reported Receivables for 15 consecutive years, with $398.4 million the latest figure, recorded in Q4 2025.
- For the quarter ending Q4 2025, Receivables rose 11.41% year-over-year to $398.4 million; the trailing twelve-month figure through Dec 2025 stood at $398.4 million (up 11.41% YoY), and the FY2025 full-year result was $398.4 million, up 11.41% from the prior year.
- Receivables rose to $398.4 million in Q4 2025 per GFI's latest filing, from $357.6 million in the prior quarter.
- Across five years, Receivables topped out at $398.4 million in Q4 2025 and bottomed at $214.0 million in Q4 2022.
- Historically, Receivables has averaged $300.0 million across 5 years, with a median of $269.3 million in 2021.
- The sharpest annual moves came in 2022 and 2024: Receivables decreased 20.53% in 2022, then surged 37.27% in 2024.
- Over 5 years, Receivables stood at $269.3 million in 2021, then fell by 20.53% to $214.0 million in 2022, then rose by 21.73% to $260.5 million in 2023, then jumped by 37.27% to $357.6 million in 2024, then increased by 11.41% to $398.4 million in 2025.
- According to Business Quant data, Receivables over the past three periods registered $398.4 million, $357.6 million, and $260.5 million for Q4 2025, Q4 2024, and Q4 2023 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | 4.03 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 15.83 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 15.68 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | - |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | 6.37 Bn |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | 3.54 Bn |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | 4.66 Bn |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 539.53 Mn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | 11.86 Bn |
| 10 | Gold Fields | 38.03 Bn | 36.49 Bn | - | 398.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 398.40 Mn |
| Dec 31, 2024 | 357.60 Mn |
| Dec 31, 2023 | 260.50 Mn |
| Dec 31, 2022 | 214.00 Mn |
| Dec 31, 2021 | 269.30 Mn |
| Dec 31, 2020 | 243.40 Mn |
| Dec 31, 2019 | 141.90 Mn |
| Dec 31, 2018 | 145.00 Mn |
| Dec 31, 2017 | 176.00 Mn |
| Dec 31, 2014 | 240.00 Mn |
| Dec 31, 2013 | 283.00 Mn |
| Dec 31, 2012 | 551.60 Mn |
| Dec 31, 2011 | 497.00 Mn |
| Dec 31, 2010 | 406.30 Mn |
| Jun 30, 2010 | 269.98 Mn |
| Jun 30, 2009 | 395.60 Mn |
Gold Fields Receivables 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&ticker=GFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();