Gold Fields (GFI) Receivables (2009 - 2025)
Gold Fields' Receivables was $398.4 million in Q4 2025, up 11.4% from $357.6 million a year earlier.
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Analysis
Gold Fields (GFI) Receivables (2009 - 2025) Analysis & Trends
From Q4 2010 onward, Gold Fields has reported Receivables for 16 quarters.
- Receivables has now increased for three consecutive years, with a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- In earlier years, Receivables was $357.6 million in FY2024 (+30.4%), $274.2 million in FY2023 (+28.1%), $214 million in FY2022 (-20.5%) and $269.3 million in FY2021 (+10.6%).
- The Q4 2025 figure marks the highest quarterly Receivables since Q4 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Citigroup | 205.25 Bn | -2,192.43 Bn | 23.76 Bn | - |
| 2 | Bhp | 201.96 Bn | 156.98 Bn | - | 6.37 Bn |
| 3 | Bank Of Nova Scotia | 114.44 Bn | -316.95 Bn | - | - |
| 4 | Vylor | 48.40 Bn | 46.20 Bn | 313.00 Mn | 3.82 Bn |
| 5 | Nokia | 46.28 Bn | 46.28 Bn | 2.58 Bn | - |
| 6 | Haleon | 41.09 Bn | 34.80 Bn | - | 3.03 Bn |
| 7 | Gold Fields | 32.02 Bn | 28.94 Bn | - | 398.40 Mn |
| 8 | Smith & Nephew | 27.46 Bn | 24.86 Bn | - | 1.49 Bn |
| 9 | Sprott Physical Gold Trust | 13.93 Bn | 13.78 Bn | - | - |
| 10 | Magnum Ice Cream | 12.19 Bn | 10.88 Bn | - | 3.45 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 398.40 Mn |
| Dec 31, 2024 | 357.60 Mn |
| Dec 31, 2023 | 274.20 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, 2016 | 175.70 Mn |
| Dec 31, 2015 | 175.00 Mn |
| Dec 31, 2014 | 240.00 Mn |
| Dec 31, 2013 | 282.90 Mn |
| Dec 31, 2012 | 551.60 Mn |
| Dec 31, 2011 | 497.00 Mn |
| Dec 31, 2010 | 435.80 Mn |
| Jun 30, 2010 | 321.50 Mn |
| Jun 30, 2009 | 395.60 Mn |
API Access
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_KEYimport 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();