Aegon (AEG) Net Cash Flow (2009 - 2022)
Aegon (AEG) posted Net Cash Flow of -$687.95 million for FY2025, compared with -$740.54 million in FY2024.
Analysis
Aegon (AEG) Net Cash Flow (2009 - 2022) Analysis & Trends
Since FY2010, Aegon has reported Net Cash Flow for 16 years.
- The FY2025 figure stands as the highest annual Net Cash Flow since FY2022.
- Business Quant data shows AEG's Net Cash Flow at -$740.54 million in FY2024, -$4.73 billion in FY2023, $5.35 billion in FY2022 and -$1.77 billion in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.25 Bn | 80.84 Bn | 9.13 Bn | 119.00 Mn |
| 2 | Progressive | 130.11 Bn | 105.94 Bn | 9.04 Bn | 14.00 Mn |
| 3 | Marsh & Mclennan Companies | 85.37 Bn | 76.86 Bn | - | 562.00 Mn |
| 4 | Travelers Companies | 78.59 Bn | 54.84 Bn | 6.23 Bn | 8.00 Mn |
| 5 | Manulife Financial | 73.81 Bn | -21.07 Bn | - | -1.97 Bn |
| 6 | Metlife | 64.37 Bn | -42.41 Bn | 7.82 Bn | -3.43 Bn |
| 7 | Allstate | 60.65 Bn | 21.92 Bn | 8.73 Bn | 143.00 Mn |
| 8 | Arthur J. Gallagher | 60.14 Bn | 54.55 Bn | - | 908.00 Mn |
| 9 | Aon | 58.75 Bn | 51.97 Bn | - | -351.00 Mn |
| 10 | Aegon | 12.97 Bn | -14.21 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 4.35 Bn |
| Sep 30, 2022 | 37.31 Mn |
| Jun 30, 2022 | 780.02 Mn |
| Mar 31, 2022 | 228.96 Mn |
| Dec 31, 2021 | 28.47 Bn |
| Sep 30, 2021 | -1.67 Bn |
| Jun 30, 2021 | 706.91 Mn |
| Mar 31, 2021 | -1.47 Bn |
| Mar 31, 2020 | 1.33 Bn |
| Dec 31, 2017 | -3.37 Bn |
| Dec 31, 2016 | -1.67 Bn |
| Jun 30, 2016 | -137.84 Mn |
| Mar 31, 2016 | 1.24 Bn |
| Dec 31, 2015 | -5.83 Bn |
| Sep 30, 2015 | -1.39 Bn |
| Jun 30, 2015 | 74.04 Mn |
| Mar 31, 2015 | 2.70 Bn |
| Dec 31, 2014 | -88.74 Mn |
| Sep 30, 2014 | 4.12 Bn |
| Jun 30, 2014 | 2.56 Bn |
API Access
Aegon Net Cash Flow 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&ticker=AEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "ticker": "AEG", "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&ticker=AEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();