Aegon (AEG) Change in Accrued Expenses (2011 - 2025)
Aegon's Change in Accrued Expenses was $311.96 million in Q4 2025.
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Analysis
Aegon (AEG) Change in Accrued Expenses (2011 - 2025) Analysis & Trends
For FY2025, Change in Accrued Expenses at Aegon came in at $4.61 billion.
- In earlier years, Change in Accrued Expenses was -$650.49 million in FY2024, $478.12 million in FY2023 (-39.7%), $792.57 million in FY2022 (-33.6%) and $1.19 billion in FY2021.
- The Q4 2025 figure marks the highest quarterly Change in Accrued Expenses since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.76 Bn | 86.40 Bn | 8.67 Bn | 110.00 Mn |
| 2 | Progressive | 132.42 Bn | 107.94 Bn | 8.29 Bn | 391.00 Mn |
| 3 | Marsh & Mclennan Companies | 97.25 Bn | 89.41 Bn | - | 680.00 Mn |
| 4 | Travelers Companies | 81.75 Bn | 59.24 Bn | 5.93 Bn | - |
| 5 | Manulife Financial | 73.54 Bn | -21.96 Bn | - | - |
| 6 | Arthur J. Gallagher | 72.19 Bn | 66.78 Bn | - | -315.00 Mn |
| 7 | Aon | 71.05 Bn | 50.25 Bn | - | 218.00 Mn |
| 8 | Allstate | 64.22 Bn | 24.06 Bn | 7.41 Bn | - |
| 9 | Metlife | 63.14 Bn | -43.64 Bn | 7.82 Bn | - |
| 10 | Aegon | 12.90 Bn | -14.28 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 311.96 Mn |
| Dec 31, 2022 | 1.10 Bn |
| Sep 30, 2022 | -1.93 Bn |
| Jun 30, 2022 | 1.22 Bn |
| Mar 31, 2022 | 497.20 Mn |
| Mar 31, 2021 | -593.47 Mn |
| Mar 31, 2020 | 1.02 Bn |
| Dec 31, 2011 | -567.38 Mn |
API Access
Aegon Change in Accrued 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=change-in-accured-expenses&ticker=AEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=AEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();