Mbia (MBI) Operating Expenses (2009 - 2026)
Mbia's Operating Expenses was $70 million in Q2 2026, down 11.4% from $79 million a year earlier but up 7.7% from the prior quarter.
Mbia (MBI) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mbia's Operating Expenses was $241 million through Jun 30, 2026, down 25.2% year-over-year; for FY2025, it was $261 million, down 46.0% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -21.2% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $483 million in FY2024 (-1.6%), $491 million in FY2023 (+62.6%), $302 million in FY2022 (-52.4%) and $634 million in FY2021 (-26.3%).
- Quarterly Operating Expenses has moved between $22 million (Q3 2025) and $216 million (Q2 2024) over five years.
- Compared with a year earlier, Operating Expenses has declined for eight straight quarters, with an average decline of 33.3% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2023 (growth of 271.2%); the worst was Q3 2022 (a decline of 73.3%).
- Per Business Quant data, MBI's Operating Expenses in the three quarters before Q2 2026 was $65 million (Q1 2026), $84 million (Q4 2025) and $22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.79 Bn | 87.37 Bn | 9.13 Bn | 12.19 Bn |
| 2 | Progressive | 133.60 Bn | 109.44 Bn | 9.04 Bn | 19.40 Bn |
| 3 | Marsh & Mclennan Companies | 94.43 Bn | 86.59 Bn | - | 5.65 Bn |
| 4 | Travelers Companies | 85.56 Bn | 61.81 Bn | 6.23 Bn | 9.39 Bn |
| 5 | Manulife Financial | 77.77 Bn | -17.12 Bn | - | -902.21 Mn |
| 6 | Arthur J. Gallagher | 69.26 Bn | 63.67 Bn | - | 3.59 Bn |
| 7 | Metlife | 66.37 Bn | -40.41 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Allstate | 66.17 Bn | 27.44 Bn | 8.73 Bn | 14.45 Bn |
| 9 | Aon | 65.16 Bn | 58.38 Bn | - | 3.33 Bn |
| 10 | Mbia | 221.88 Mn | -1.00 Bn | - | 70.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.00 Mn |
| Mar 31, 2026 | 65.00 Mn |
| Dec 31, 2025 | 84.00 Mn |
| Sep 30, 2025 | 22.00 Mn |
| Jun 30, 2025 | 79.00 Mn |
| Mar 31, 2025 | 76.00 Mn |
| Dec 31, 2024 | 87.00 Mn |
| Sep 30, 2024 | 80.00 Mn |
| Jun 30, 2024 | 216.00 Mn |
| Mar 31, 2024 | 100.00 Mn |
| Dec 31, 2023 | 107.00 Mn |
| Sep 30, 2023 | 193.00 Mn |
| Jun 30, 2023 | 106.00 Mn |
| Mar 31, 2023 | 85.00 Mn |
| Dec 31, 2022 | 61.00 Mn |
| Sep 30, 2022 | 52.00 Mn |
| Jun 30, 2022 | 76.00 Mn |
| Mar 31, 2022 | 113.00 Mn |
| Dec 31, 2021 | 182.00 Mn |
| Sep 30, 2021 | 195.00 Mn |
Mbia Operating 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=operating-expenses&ticker=MBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=MBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();