Mbia (MBI) Change in Accured Expenses (2010 - 2023)
Mbia's Change in Accured Expenses was $37 million in Q2 2023, up 37.0% from $27 million a year earlier and up 8.8% from the prior quarter.
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Analysis
Mbia (MBI) Change in Accured Expenses (2010 - 2023) Analysis & Trends
On a trailing twelve-month basis, Mbia's Change in Accured Expenses was $141 million through Jun 30, 2023, up 33.0% year-over-year; for FY2022, it came in at $121 million, up 13.1% from FY2021.
- Change in Accured Expenses shows a five-year compound annual growth rate of 0.8% (FY2017 to FY2022).
- In earlier years, Change in Accured Expenses was $107 million in FY2021 (-19.5%), $133 million in FY2020 (+25.5%), $106 million in FY2019 (-32.5%) and $157 million in FY2018 (+35.3%).
- The Q2 2023 figure marks the highest quarterly Change in Accured Expenses since Q2 2021.
- Compared with a year earlier, Change in Accured Expenses has increased for four straight quarters, with growth averaging 5.0% over the last seven quarters.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q2 2021 (growth of 157.6%); the worst was Q2 2022 (a decline of 68.2%).
- Per Business Quant data, MBI's Change in Accured Expenses in the three quarters before Q2 2023 was $34 million (Q1 2023), $35 million (Q4 2022) and $35 million (Q3 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | 108.00 Mn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 216.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 685.00 Mn |
| 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 | - | 535.00 Mn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 51.00 Mn |
| 10 | Mbia | 223.96 Mn | -994.04 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 37.00 Mn |
| Mar 31, 2023 | 34.00 Mn |
| Dec 31, 2022 | 35.00 Mn |
| Sep 30, 2022 | 35.00 Mn |
| Jun 30, 2022 | 27.00 Mn |
| Mar 31, 2022 | 24.00 Mn |
| Dec 31, 2021 | 26.00 Mn |
| Sep 30, 2021 | 29.00 Mn |
| Jun 30, 2021 | 85.00 Mn |
| Mar 31, 2021 | -33.00 Mn |
| Dec 31, 2020 | 31.00 Mn |
| Sep 30, 2020 | 34.00 Mn |
| Jun 30, 2020 | 33.00 Mn |
| Mar 31, 2020 | 35.00 Mn |
| Dec 31, 2019 | 31.00 Mn |
| Sep 30, 2019 | 19.00 Mn |
| Jun 30, 2019 | 26.00 Mn |
| Mar 31, 2019 | 30.00 Mn |
| Dec 31, 2018 | 44.00 Mn |
| Sep 30, 2018 | 43.00 Mn |
API Access
Mbia Change in Accured Expenses 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=change-in-accured-expenses&ticker=MBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=MBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();