Gold Fields (GFI) Net Cash Flow Growth (1y) (2022)
Analysis
Gold Fields (GFI) Net Cash Flow Growth (1y) (2022) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF Growth (1y) (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | - |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 7.81% |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | -103.68% |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | - |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | - |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | - |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | - |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 12.62% |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | - |
| 10 | Gold Fields | 38.03 Bn | 36.49 Bn | - | - |
API Access
Gold Fields Net Cash Flow Growth (1y) 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=net-cash-flow-growth-1y&ticker=GFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow-growth-1y", "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=net-cash-flow-growth-1y&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();