Aegon (AEG) Accumulated Expenses (2009 - 2025)
Aegon's Accumulated Expenses came in at $352.71 million for Q4 2025, down 0.6% from $354.77 million a year earlier.
Analysis
Aegon (AEG) Accumulated Expenses (2009 - 2025) Analysis & Trends
Going back to Q2 2009, Aegon's Accumulated Expenses data covers 19 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of -8.1% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $354.77 million in FY2024 (unchanged), $354.8 million in FY2023 (-6.5%), $379.53 million in FY2022 (-38.2%) and $614.31 million in FY2021 (+14.2%).
- The Q4 2025 figure represents the lowest quarterly Accumulated Expenses since Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 134.07 Bn | 80.65 Bn | 9.13 Bn |
| 2 | Progressive | 129.71 Bn | 105.55 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 85.23 Bn | 76.72 Bn | - |
| 4 | Travelers Companies | 78.57 Bn | 54.82 Bn | 6.23 Bn |
| 5 | Manulife Financial | 73.77 Bn | -21.12 Bn | - |
| 6 | Metlife | 64.61 Bn | -42.17 Bn | 7.82 Bn |
| 7 | Allstate | 60.51 Bn | 21.78 Bn | 8.73 Bn |
| 8 | Arthur J. Gallagher | 59.88 Bn | 54.28 Bn | - |
| 9 | Aflac | 58.72 Bn | 33.93 Bn | 2.27 Bn |
| 10 | Aegon | 12.94 Bn | -14.23 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 352.71 Mn |
| Dec 31, 2024 | 354.77 Mn |
| Dec 31, 2023 | 352.91 Mn |
| Dec 31, 2022 | 379.53 Mn |
| Dec 31, 2021 | 614.31 Mn |
| Dec 31, 2020 | 537.72 Mn |
| Dec 31, 2019 | 471.53 Mn |
| Dec 31, 2018 | 442.86 Mn |
| Dec 31, 2017 | 387.38 Mn |
| Dec 31, 2016 | -2.82 Bn |
| Dec 31, 2015 | -2.02 Bn |
| Dec 31, 2014 | 339.95 Mn |
| Dec 31, 2013 | 352.52 Mn |
| Dec 31, 2012 | 431.87 Mn |
| Dec 31, 2011 | 1.60 Bn |
| Jun 30, 2011 | 527.93 Mn |
| Dec 31, 2010 | 564.92 Mn |
| Jun 30, 2010 | 467.87 Mn |
| Sep 30, 2009 | 491.95 Mn |
| Jun 30, 2009 | 465.68 Mn |
API Access
Aegon Accumulated Expenses 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=accumulated-expenses&ticker=AEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();