Mbia (MBI) Tax Provisions (2009 - 2022)
Mbia's Tax Provisions came in at $1 million for Q4 2022.
Analysis
Mbia (MBI) Tax Provisions (2009 - 2022) Analysis & Trends
Going back to Q2 2009, Mbia's Tax Provisions data covers 41 quarters.
- Tax Provisions carries a five-year compound annual growth rate of -74.6% (FY2017 to FY2022).
- Going back by year, Tax Provisions was $2 million in FY2019.
- The Q4 2022 figure represents the highest quarterly Tax Provisions since Q3 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.65 Bn | 87.23 Bn | 9.13 Bn | 742.00 Mn |
| 2 | Progressive | 133.70 Bn | 109.53 Bn | 9.04 Bn | 898.00 Mn |
| 3 | Marsh & Mclennan Companies | 94.75 Bn | 86.91 Bn | - | 221.00 Mn |
| 4 | Travelers Companies | 85.38 Bn | 61.63 Bn | 6.23 Bn | 559.00 Mn |
| 5 | Manulife Financial | 77.63 Bn | -17.25 Bn | - | - |
| 6 | Arthur J. Gallagher | 69.27 Bn | 63.67 Bn | - | 90.00 Mn |
| 7 | Metlife | 66.42 Bn | -40.36 Bn | 7.82 Bn | 256.00 Mn |
| 8 | Allstate | 66.13 Bn | 27.40 Bn | 8.73 Bn | 871.00 Mn |
| 9 | Aon | 65.25 Bn | 58.47 Bn | - | 159.00 Mn |
| 10 | Mbia | 222.39 Mn | -1.00 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 1.00 Mn |
| Dec 31, 2019 | -6.00 Mn |
| Sep 30, 2019 | 6.00 Mn |
| Mar 31, 2019 | 2.00 Mn |
| Dec 31, 2018 | -2.00 Mn |
| Mar 31, 2018 | 2.00 Mn |
| Dec 31, 2017 | -21.00 Mn |
| Sep 30, 2017 | -6.00 Mn |
| Jun 30, 2017 | 1.02 Bn |
| Mar 31, 2017 | -48.00 Mn |
| Dec 31, 2016 | 27.00 Mn |
| Sep 30, 2016 | 24.00 Mn |
| Jun 30, 2016 | -28.00 Mn |
| Mar 31, 2016 | -23.00 Mn |
| Dec 31, 2015 | 57.00 Mn |
| Sep 30, 2015 | -20.00 Mn |
| Jun 30, 2015 | 28.00 Mn |
| Mar 31, 2015 | 44.00 Mn |
| Dec 31, 2014 | 14.00 Mn |
| Sep 30, 2014 | -25.00 Mn |
API Access
Mbia Tax Provisions 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=tax-provisions&ticker=MBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=MBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();