Aflac (AFL) Asset Writedowns and Impairment (2011 - 2018)
Aflac's (AFL) quarterly Asset Writedowns and Impairment came in at $7.0 million in Q1 2018, down 30.0% year-over-year from $10.0 million in Q1 2017, and down 30.0% quarter-over-quarter from $10.0 million in Q4 2017.
Aflac (AFL) Asset Writedowns and Impairment (2011 - 2018) Analysis & Trends
Aflac has disclosed Asset Writedowns and Impairment across 8 years of filings, most recently posting $7.0 million for Q1 2018.
- In Q1 2018, Asset Writedowns and Impairment fell 30.0% year-over-year to $7.0 million; the TTM figure through Mar 2018 stood at $34.0 million (down 57.5% YoY), while the FY2017 annual figure was $37.0 million, down 56.47% from the prior year.
- Asset Writedowns and Impairment came in at $7.0 million for Q1 2018 at Aflac, down from $10.0 million in the prior quarter.
- In the past five years, Asset Writedowns and Impairment ranged from a high of $137.0 million in Q3 2015 to a low of $3.0 million in Q1 2014.
- Average Asset Writedowns and Impairment over 5 years is $22.4 million, with a median of $10.5 million recorded in 2015.
- Year-over-year, Asset Writedowns and Impairment plunged 94.55% in 2014 and jumped 133.33% in 2016.
- Over 5 years, Asset Writedowns and Impairment stood at $28.0 million in 2014, then slumped by 60.71% to $11.0 million in 2015, then gained by 27.27% to $14.0 million in 2016, then declined by 28.57% to $10.0 million in 2017, then dropped by 30.0% to $7.0 million in 2018.
- Per Business Quant data, the three most recent Asset Writedowns and Impairment figures were $7.0 million in Q1 2018, $10.0 million in Q4 2017, and $8.0 million in Q3 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,098.17 Bn | 773.46 Bn | 55.86 Bn |
| 2 | Chubb | 131.33 Bn | 123.03 Bn | 9.13 Bn |
| 3 | Progressive | 124.08 Bn | 119.08 Bn | 9.04 Bn |
| 4 | Travelers Companies | 78.14 Bn | 54.38 Bn | 6.23 Bn |
| 5 | Allstate | 63.45 Bn | 24.70 Bn | 16.28 Bn |
| 6 | Aflac | 58.44 Bn | -44.57 Bn | 2.27 Bn |
| 7 | Fairfax Financial Holdings | 48.96 Bn | 53.68 Bn | - |
| 8 | American International | 39.52 Bn | 1.72 Bn | 3.50 Bn |
| 9 | Hartford Insurance | 35.73 Bn | 19.42 Bn | 3.18 Bn |
| 10 | Berkley W R | 25.97 Bn | 21.87 Bn | 1.76 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Mar 31, 2014 | 3.00 Mn |
| Dec 31, 2013 | 134.00 Mn |
| Sep 30, 2013 | 10.00 Mn |
| Mar 31, 2013 | 55.00 Mn |
| Dec 31, 2012 | 334.00 Mn |
| Sep 30, 2012 | 97.00 Mn |
| Jun 30, 2012 | 343.00 Mn |
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_KEY
import 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();