Gold Fields (GFI) Price to Book (2009 - 2025)
Gold Fields' (GFI) Price to Book was 4.63 for Q4 2025, up 104.0% from 2.27 a year earlier.
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Analysis
Gold Fields (GFI) Price to Book (2009 - 2025) Analysis & Trends
Dating back to Q4 2010, Gold Fields' Price to Book record includes 17 quarters.
- By year, Price to Book came in at 2.27 in FY2024 (-21.3%), 2.89 in FY2023 (+31.6%), 2.19 in FY2022 (-10.6%) and 2.45 in FY2021 (+9.8%).
- The Q4 2025 figure ranks as the highest quarterly Price to Book in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Citigroup | 205.25 Bn | -2,192.43 Bn | 23.76 Bn |
| 2 | Bhp | 201.96 Bn | 156.98 Bn | - |
| 3 | Bank Of Nova Scotia | 114.44 Bn | -316.95 Bn | - |
| 4 | Vylor | 48.40 Bn | 46.20 Bn | 313.00 Mn |
| 5 | Nokia | 46.28 Bn | 46.28 Bn | 2.58 Bn |
| 6 | Haleon | 41.09 Bn | 34.80 Bn | - |
| 7 | Gold Fields | 32.02 Bn | 28.94 Bn | - |
| 8 | Smith & Nephew | 27.46 Bn | 24.86 Bn | - |
| 9 | Sprott Physical Gold Trust | 13.93 Bn | 13.78 Bn | - |
| 10 | Magnum Ice Cream | 12.19 Bn | 10.88 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.63 |
| Dec 31, 2024 | 2.27 |
| Dec 31, 2023 | 2.89 |
| Dec 31, 2022 | 2.19 |
| Jun 30, 2022 | 0.87 |
| Dec 31, 2021 | 2.45 |
| Dec 31, 2020 | 2.23 |
| Dec 31, 2019 | 1.97 |
| Dec 31, 2018 | 1.12 |
| Dec 31, 2017 | 1.04 |
| Dec 31, 2016 | 0.70 |
| Dec 31, 2015 | 0.78 |
| Dec 31, 2014 | 0.96 |
| Dec 31, 2013 | 0.60 |
| Dec 31, 2012 | 1.30 |
| Dec 31, 2011 | 1.62 |
| Dec 31, 2010 | 1.59 |
| Jun 30, 2010 | 1.32 |
| Jun 30, 2009 | 1.33 |
API Access
Gold Fields Price to Book 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=price-to-book&ticker=GFI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();