Mbia (MBI) Asset Writedowns and Impairment (2010 - 2019)
Mbia's Asset Writedowns and Impairment was $30 million in Q4 2019, compared with $2 million a year earlier.
Analysis
Mbia (MBI) Asset Writedowns and Impairment (2010 - 2019) Analysis & Trends
For FY2019, Asset Writedowns and Impairment at Mbia came in at $67 million.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of 34.9% (FY2014 to FY2019).
- In earlier years, Asset Writedowns and Impairment was $5 million in FY2018 (-95.3%), $106 million in FY2017, $5 million in FY2016 (-61.5%) and $13 million in FY2015 (-13.3%).
- The Q4 2019 figure marks the highest quarterly Asset Writedowns and Impairment since Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - |
| 10 | Mbia | 223.96 Mn | -994.04 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 30.00 Mn |
| Jun 30, 2019 | 9.00 Mn |
| Mar 31, 2019 | 28.00 Mn |
| Dec 31, 2018 | 2.00 Mn |
| Sep 30, 2018 | 3.00 Mn |
| Jun 30, 2018 | -1.00 Mn |
| Mar 31, 2018 | 1.00 Mn |
| Mar 31, 2017 | 2.00 Mn |
| Sep 30, 2012 | 8.00 Mn |
| Dec 31, 2011 | 57.00 Mn |
| Sep 30, 2011 | 11.00 Mn |
| Dec 31, 2010 | 21.00 Mn |
API Access
Mbia 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=MBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "MBI", "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=MBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();