Aegon (AEG) Real Estate - Net (2009 - 2026)
Aegon's Real Estate - Net came in at $31.2 million for Q4 2023, down 91.0% from $347.9 million a year earlier.
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Analysis
Aegon (AEG) Real Estate - Net (2009 - 2026) Analysis & Trends
At the end of FY2023, Aegon's Real Estate - Net was $31.37 million, down 91.0% from FY2022.
- Real Estate - Net carries a three-year compound annual growth rate of 87.4% (FY2020 to FY2023).
- Going back by year, Real Estate - Net was $347.9 million in FY2022 (-46.0%), $644.06 million in FY2021 and $4.77 million in FY2020.
- The Q4 2023 figure represents the lowest quarterly Real Estate - Net since Q4 2020.
- Year-over-year, Real Estate - Net increased in two of the last five quarters, with growth averaging 155.1%.
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 |
|---|---|
| Jun 30, 2026 | 61.61 Mn |
| Dec 31, 2025 | 557.58 Mn |
| Dec 31, 2022 | 3.27 Bn |
| Dec 31, 2021 | 644.06 Mn |
| Mar 31, 2021 | 3.42 Bn |
| Dec 31, 2020 | 4.77 Mn |
| Dec 31, 2019 | 3.86 Bn |
| Dec 31, 2018 | 3.08 Bn |
| Jun 30, 2012 | 5.11 Bn |
| Mar 31, 2012 | 5.14 Bn |
| Dec 31, 2011 | 5.28 Bn |
| Sep 30, 2011 | 5.51 Bn |
| Mar 31, 2011 | 5.29 Bn |
| Dec 31, 2010 | 5.32 Bn |
| Sep 30, 2009 | 5.23 Bn |
| Mar 31, 2009 | 4.71 Bn |
API Access
Aegon Real Estate - Net 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=real-estate-net&ticker=AEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-net", "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=real-estate-net&ticker=AEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();