Gold Fields (GFI) Enterprise Value (2009 - 2025)
Gold Fields' Enterprise Value came in at $37.54 billion for Q4 2025, up 237.6% from $11.12 billion a year earlier and up 2.7% from the prior quarter.
Analysis
Gold Fields (GFI) Enterprise Value (2009 - 2025) Analysis & Trends
Going back to Q4 2011, Gold Fields' Enterprise Value data covers 17 quarters.
- Enterprise Value carries a five-year compound annual growth rate of 35.1% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $11.12 billion in FY2024 (-14.9%), $13.06 billion in FY2023 (+52.1%), $8.59 billion in FY2022 (-8.5%) and $9.38 billion in FY2021 (+12.4%).
- The Q4 2025 figure represents the highest quarterly Enterprise Value in data going back to Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Citigroup | 217.23 Bn | -2,082.64 Bn | 24.75 Bn |
| 2 | Bhp | 215.58 Bn | 159.38 Bn | - |
| 3 | Bank Of Nova Scotia | 112.36 Bn | -322.86 Bn | - |
| 4 | Nokia | 58.28 Bn | 58.28 Bn | 2.58 Bn |
| 5 | Haleon | 40.29 Bn | 33.48 Bn | - |
| 6 | Gold Fields | 32.31 Bn | 29.12 Bn | - |
| 7 | Sprott Physical Gold Trust | 14.84 Bn | 14.70 Bn | - |
| 8 | Sprott Physical Silver Trust | 11.90 Bn | 11.57 Bn | - |
| 9 | Magnum Ice Cream | 10.88 Bn | 9.56 Bn | - |
| 10 | Sprott Physical Gold & Silver Trust | 7.92 Bn | 7.86 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 37.54 Bn |
| Sep 26, 2025 | 36.54 Bn |
| Dec 31, 2024 | 11.12 Bn |
| Dec 31, 2023 | 13.06 Bn |
| Dec 31, 2022 | 8.59 Bn |
| Jun 30, 2022 | 7.07 Bn |
| Dec 31, 2021 | 9.38 Bn |
| Dec 31, 2020 | 8.35 Bn |
| Dec 31, 2019 | 5.59 Bn |
| Dec 31, 2018 | 3.01 Bn |
| Dec 31, 2017 | 3.27 Bn |
| Dec 31, 2016 | 2.00 Bn |
| Dec 31, 2015 | 2.16 Bn |
| Dec 31, 2014 | 3.18 Bn |
| Dec 31, 2013 | 2.33 Bn |
| Dec 31, 2012 | 7.34 Bn |
| Dec 31, 2011 | 8.84 Bn |
| Dec 31, 2010 | 10.82 Bn |
| Jun 30, 2010 | 7.99 Bn |
| Jun 30, 2009 | 7.24 Bn |
API Access
Gold Fields Enterprise Value 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=enterprise-value&ticker=GFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();