Aegon (AEG) Cost of Revenue (2009 - 2017)
Aegon (AEG) posted Cost of Revenue of $598.29 million for FY2020, up 22.8% from $487.17 million in FY2019.
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Analysis
Aegon (AEG) Cost of Revenue (2009 - 2017) Analysis & Trends
Since FY2009, Aegon has reported Cost of Revenue for 6 years.
- Annual Cost of Revenue shows a four-year compound annual growth rate of 28.7% (FY2016 to FY2020).
- The FY2020 figure stands as the highest annual Cost of Revenue in data going back to FY2009.
- Business Quant data shows AEG's Cost of Revenue at $487.17 million in FY2019 (+88.1%), $259 million in FY2018 (-8.8%), $284 million in FY2017 (+30.3%) and $218 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.76 Bn | 86.40 Bn | 8.67 Bn | 7.53 Bn |
| 2 | Progressive | 132.42 Bn | 107.94 Bn | 8.29 Bn | 14.90 Bn |
| 3 | Marsh & Mclennan Companies | 97.25 Bn | 89.41 Bn | - | - |
| 4 | Travelers Companies | 81.75 Bn | 59.24 Bn | 5.93 Bn | 6.49 Bn |
| 5 | Manulife Financial | 73.54 Bn | -21.96 Bn | - | - |
| 6 | Arthur J. Gallagher | 72.19 Bn | 66.78 Bn | - | - |
| 7 | Aon | 71.05 Bn | 50.25 Bn | - | - |
| 8 | Allstate | 64.22 Bn | 24.06 Bn | 7.41 Bn | 9.94 Bn |
| 9 | Metlife | 63.14 Bn | -43.64 Bn | 7.82 Bn | 11.34 Bn |
| 10 | Aegon | 12.90 Bn | -14.28 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 490.99 Mn |
| Sep 30, 2017 | 117.51 Mn |
| Jun 30, 2017 | 107.76 Mn |
| Mar 31, 2017 | 110.80 Mn |
| Dec 31, 2016 | 468.60 Mn |
| Sep 30, 2016 | 116.08 Mn |
| Mar 31, 2016 | 127.95 Mn |
| Dec 31, 2015 | 163.32 Mn |
| Dec 31, 2014 | 199.97 Mn |
| Dec 31, 2009 | 2.95 Mn |
| Jun 30, 2009 | 1.36 Mn |
API Access
Aegon Cost of Revenue 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=cost-of-revenue&ticker=AEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();