Gold Fields (GFI) Inventory Average (2009 - 2025)
Gold Fields' (GFI) quarterly Inventory Average came in at $411.7 million in Q4 2025, up 11.6% on a YoY basis from $368.9 million in Q4 2024, and up 11.26% quarter-over-quarter from $370.0 million in Q3 2025.
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Analysis
Gold Fields (GFI) Inventory Average (2009 - 2025) Analysis & Trends
Gold Fields (GFI) has reported Inventory Average for 13 consecutive years, with $411.7 million the latest figure, recorded in Q4 2025.
- For the quarter ending Q4 2025, Inventory Average rose 11.6% year-over-year to $411.7 million; the trailing twelve-month figure through Dec 2025 stood at $411.7 million (up 11.6% YoY), and the FY2025 full-year result was $740.9 million, up 100.85% from the prior year.
- Inventory Average advanced to $411.7 million in Q4 2025 per GFI's latest filing, from $370.0 million in the prior quarter.
- Across five years, Inventory Average topped out at $574.6 million in Q4 2021 and bottomed at $368.9 million in Q4 2024.
- Historically, Inventory Average has averaged $424.8 million across 4 years, with a median of $398.8 million in 2023.
- The sharpest annual moves came in 2021 and 2024: Inventory Average increased 22.33% in 2021, then declined 7.49% in 2024.
- Over 4 years, Inventory Average stood at $574.6 million in 2021, then slumped by 30.6% to $398.8 million in 2023, then decreased by 7.49% to $368.9 million in 2024, then advanced by 11.6% to $411.7 million in 2025.
- According to Business Quant data, Inventory Average over the past three periods registered $411.7 million, $370.0 million, and $368.9 million for Q4 2025, Q3 2025, and Q4 2024 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory Avg. (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | 12.45 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 12.40 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 6.75 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | - |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | 6.20 Bn |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | 10.54 Bn |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | 331.00 Mn |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 1.40 Bn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | 4.98 Bn |
| 10 | Gold Fields | 38.03 Bn | 36.49 Bn | - | 411.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 411.70 Mn |
| Sep 26, 2025 | 370.05 Mn |
| Dec 31, 2024 | 368.90 Mn |
| Dec 31, 2023 | 398.75 Mn |
| Dec 31, 2021 | 574.60 Mn |
| Dec 31, 2020 | 469.70 Mn |
| Dec 31, 2019 | 393.00 Mn |
| Dec 31, 2018 | 380.85 Mn |
| Dec 31, 2014 | 386.40 Mn |
| Dec 31, 2013 | 403.30 Mn |
| Dec 31, 2012 | 349.90 Mn |
| Dec 31, 2011 | 275.41 Mn |
| Dec 31, 2010 | 230.39 Mn |
| Jun 30, 2010 | 201.83 Mn |
| Jun 30, 2009 | 174.40 Mn |
API Access
Gold Fields Inventory Average 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-average&ticker=GFI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory-average", "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-average&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();