Aegon (AEG) Amortization - Intangibles (2015 - 2016)
Aegon's Amortization - Intangibles was $3.25 million in FY2023.
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Analysis
Aegon (AEG) Amortization - Intangibles (2015 - 2016) Analysis & Trends
- The FY2023 figure marks the highest annual Amortization - Intangibles since FY2011.
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 | - |
API Access
Aegon Amortization - Intangibles 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=amortization-intangibles&ticker=AEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=AEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();