Aflac (AFL) Buildings (2009 - 2023)
Aflac's Buildings was $421 million in Q4 2023, down 3.7% from $437 million a year earlier.
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Analysis
Aflac (AFL) Buildings (2009 - 2023) Analysis & Trends
From Q4 2009 onward, Aflac has reported Buildings for 15 quarters.
- Buildings has now declined for three consecutive years, with a five-year compound annual growth rate of -1.6% (FY2018 to FY2023).
- In earlier years, Buildings was $437 million in FY2022 (-11.0%), $491 million in FY2021 (-6.1%), $523 million in FY2020 (+10.6%) and $473 million in FY2019 (+3.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 137.61 Bn | 84.19 Bn | 9.13 Bn |
| 2 | Progressive | 129.11 Bn | 104.95 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 90.85 Bn | 83.01 Bn | - |
| 4 | Travelers Companies | 83.46 Bn | 59.71 Bn | 6.23 Bn |
| 5 | Manulife Financial | 77.04 Bn | -17.85 Bn | - |
| 6 | Arthur J. Gallagher | 66.22 Bn | 60.63 Bn | - |
| 7 | Metlife | 65.58 Bn | -41.20 Bn | 7.82 Bn |
| 8 | Allstate | 64.01 Bn | 25.28 Bn | 8.73 Bn |
| 9 | Aon | 63.13 Bn | 56.35 Bn | - |
| 10 | Aflac | 60.87 Bn | 36.08 Bn | 2.27 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 421.00 Mn |
| Dec 31, 2022 | 437.00 Mn |
| Dec 31, 2021 | 491.00 Mn |
| Dec 31, 2020 | 523.00 Mn |
| Dec 31, 2019 | 473.00 Mn |
| Dec 31, 2018 | 456.00 Mn |
| Dec 31, 2017 | 441.00 Mn |
| Dec 31, 2016 | 421.00 Mn |
| Dec 31, 2015 | 400.00 Mn |
| Dec 31, 2014 | 393.00 Mn |
| Dec 31, 2013 | 444.00 Mn |
| Dec 31, 2012 | 535.00 Mn |
| Dec 31, 2011 | 575.00 Mn |
| Dec 31, 2010 | 550.00 Mn |
| Dec 31, 2009 | 501.00 Mn |
API Access
Aflac Buildings 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=buildings&ticker=AFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "AFL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=AFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();