Gold Fields (GFI) Inventory (2009 - 2025)
Gold Fields' (GFI) quarterly Inventory came in at $782.6 million in Q4 2025, up 11.91% on a YoY basis from $699.3 million in Q4 2024, and up 1818.14% quarter-over-quarter from $40.8 million in Q3 2025.
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Analysis
Gold Fields (GFI) Inventory (2009 - 2025) Analysis & Trends
Gold Fields (GFI) has reported Inventory for 15 consecutive years, with $782.6 million the latest figure, recorded in Q4 2025.
- For the quarter ending Q4 2025, Inventory rose 11.91% year-over-year to $782.6 million; the trailing twelve-month figure through Dec 2025 stood at $782.6 million (up 11.91% YoY), and the FY2025 full-year result was $782.6 million, up 11.91% from the prior year.
- Inventory grew to $782.6 million in Q4 2025 per GFI's latest filing, from $40.8 million in the prior quarter.
- Across five years, Inventory topped out at $782.6 million in Q4 2025 and bottomed at $38.5 million in Q4 2023.
- Historically, Inventory has averaged $491.3 million across 5 years, with a median of $663.4 million in 2021.
- The sharpest annual moves came in 2023 and 2024: Inventory slumped 94.93% in 2023, then soared 1716.36% in 2024.
- Over 5 years, Inventory stood at $627.6 million in 2021, then grew by 20.94% to $759.0 million in 2022, then plunged by 94.93% to $38.5 million in 2023, then jumped by 1716.36% to $699.3 million in 2024, then climbed by 11.91% to $782.6 million in 2025.
- According to Business Quant data, Inventory over the past three periods registered $782.6 million, $40.8 million, and $699.3 million for Q4 2025, Q3 2025, and Q4 2024 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | 13.30 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 12.44 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 6.93 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | - |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | 6.59 Bn |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | 10.53 Bn |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | 324.00 Mn |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 1.44 Bn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | 5.26 Bn |
| 10 | Gold Fields | 38.03 Bn | 36.49 Bn | - | 782.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 782.60 Mn |
| Sep 26, 2025 | 40.80 Mn |
| Dec 31, 2024 | 699.30 Mn |
| Dec 31, 2023 | 38.50 Mn |
| Dec 31, 2022 | 759.00 Mn |
| Dec 31, 2021 | 627.60 Mn |
| Dec 31, 2020 | 521.60 Mn |
| Dec 31, 2019 | 417.80 Mn |
| Dec 31, 2018 | 368.20 Mn |
| Dec 31, 2017 | 393.50 Mn |
| Dec 31, 2014 | 368.30 Mn |
| Dec 31, 2013 | 404.50 Mn |
| Dec 31, 2012 | 402.10 Mn |
| Dec 31, 2011 | 297.70 Mn |
| Dec 31, 2010 | 253.12 Mn |
| Jun 30, 2010 | 207.66 Mn |
| Jun 30, 2009 | 196.00 Mn |
API Access
Gold Fields Inventory 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=inventory&ticker=GFI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();