Assured Guaranty (AGO) Operating Expenses (2009 - 2026)
Assured Guaranty (AGO) reported Operating Expenses of $135 million for Q2 2026, down 10.6% from $151 million a year earlier and down 40.5% from the prior quarter.
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Analysis
Assured Guaranty (AGO) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Assured Guaranty's Operating Expenses came in at $592 million, up 12.1% year-over-year; for FY2025, it came in at $550 million, up 23.3% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- By year, Operating Expenses came in at $446 million in FY2024 (-39.2%), $733 million in FY2023 (+36.8%), $536 million in FY2022 (+15.3%) and $465 million in FY2021 (-36.2%).
- Five-year quarterly Operating Expenses spans a low of -$41 million in Q4 2021 and a high of $230 million in Q3 2021.
- Year over year, Operating Expenses gained in five of the last eight quarters, with growth averaging 8.6%.
- The high point for year-over-year Operating Expenses in five years was Q3 2023 (growth of 409.3%); the low point was Q3 2022 (a decline of 81.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $227 million (Q1 2026), $138 million (Q4 2025) and $92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 3.59 Bn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 3.33 Bn |
| 10 | Assured Guaranty | 3.02 Bn | -754.66 Mn | 191.00 Mn | 135.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.00 Mn |
| Mar 31, 2026 | 227.00 Mn |
| Dec 31, 2025 | 138.00 Mn |
| Sep 30, 2025 | 92.00 Mn |
| Jun 30, 2025 | 151.00 Mn |
| Mar 31, 2025 | 169.00 Mn |
| Dec 31, 2024 | 141.00 Mn |
| Sep 30, 2024 | 67.00 Mn |
| Jun 30, 2024 | 113.00 Mn |
| Mar 31, 2024 | 125.00 Mn |
| Dec 31, 2023 | 128.00 Mn |
| Sep 30, 2023 | 219.00 Mn |
| Jun 30, 2023 | 221.00 Mn |
| Mar 31, 2023 | 165.00 Mn |
| Dec 31, 2022 | 185.00 Mn |
| Sep 30, 2022 | 43.00 Mn |
| Jun 30, 2022 | 112.00 Mn |
| Mar 31, 2022 | 196.00 Mn |
| Dec 31, 2021 | -41.00 Mn |
| Sep 30, 2021 | 230.00 Mn |
API Access
Assured Guaranty 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=AGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AGO", "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=AGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();