Aflac (AFL) Asset Writedowns and Impairment (2011 - 2019)
Aflac's Asset Writedowns and Impairment was $7 million in Q1 2018, down 30.0% from $10 million a year earlier and down 30.0% from the prior quarter.
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Analysis
Aflac (AFL) Asset Writedowns and Impairment (2011 - 2019) Analysis & Trends
On a trailing twelve-month basis, Aflac's Asset Writedowns and Impairment was $34 million through Mar 31, 2018, down 57.5% year-over-year; for FY2017, it was $37 million, down 56.5% from FY2016.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of -48.0% (FY2012 to FY2017).
- In earlier years, Asset Writedowns and Impairment was $85 million in FY2016 (-44.8%), $154 million in FY2015 (+396.8%), $31 million in FY2014 (-84.4%) and $199 million in FY2013 (-79.6%).
- The Q1 2018 figure marks the lowest quarterly Asset Writedowns and Impairment since Q1 2015.
- Compared with a year earlier, Asset Writedowns and Impairment has declined for five straight quarters, with an average decline of 40.1% over the last seven quarters.
- The best year-over-year quarter for Asset Writedowns and Impairment over five years was Q1 2016 (growth of 133.3%); the worst was Q1 2014 (a decline of 94.5%).
- Per Business Quant data, AFL's Asset Writedowns and Impairment in the three quarters before Q1 2018 was $10 million (Q4 2017), $8 million (Q3 2017) and $9 million (Q2 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 134.30 Bn | 80.89 Bn | 9.13 Bn |
| 2 | Progressive | 130.32 Bn | 106.15 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 85.17 Bn | 76.66 Bn | - |
| 4 | Travelers Companies | 78.40 Bn | 54.65 Bn | 6.23 Bn |
| 5 | Manulife Financial | 73.81 Bn | -21.07 Bn | - |
| 6 | Metlife | 64.41 Bn | -42.37 Bn | 7.82 Bn |
| 7 | Allstate | 60.46 Bn | 21.73 Bn | 8.73 Bn |
| 8 | Arthur J. Gallagher | 60.04 Bn | 54.44 Bn | - |
| 9 | Aon | 58.69 Bn | 51.91 Bn | - |
| 10 | Aflac | 58.66 Bn | 33.88 Bn | 2.27 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 10.00 Mn |
| Sep 30, 2019 | 17.00 Mn |
| Jun 30, 2019 | 2.00 Mn |
| Mar 31, 2019 | 2.00 Mn |
| Dec 31, 2018 | 64.00 Mn |
| Sep 30, 2018 | 5.00 Mn |
| Jun 30, 2018 | 5.00 Mn |
| Mar 31, 2018 | 7.00 Mn |
| Dec 31, 2017 | 10.00 Mn |
| Sep 30, 2017 | 8.00 Mn |
| Jun 30, 2017 | 9.00 Mn |
| Mar 31, 2017 | 10.00 Mn |
| Dec 31, 2016 | 14.00 Mn |
| Sep 30, 2016 | 23.00 Mn |
| Jun 30, 2016 | 33.00 Mn |
| Mar 31, 2016 | 14.00 Mn |
| Dec 31, 2015 | 11.00 Mn |
| Sep 30, 2015 | 137.00 Mn |
| Mar 31, 2015 | 6.00 Mn |
| Jun 30, 2014 | 28.00 Mn |
API Access
Aflac Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=AFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=AFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();