Aon (AON) Operating Expenses (2009 - 2026)
Aon (AON) posted Operating Expenses of $3.3 billion for Q2 2026, little changed on a QoQ basis from $3.3 billion in Q1 2026, and up 1.06% year-over-year from $3.3 billion in Q2 2025.
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Analysis
Aon (AON) Operating Expenses (2009 - 2026) Analysis & Trends
Aon has reported Operating Expenses for 18 years, with the latest figure at $3.3 billion in Q2 2026.
- On a quarterly basis, Operating Expenses rose 1.06% year-over-year to $3.3 billion in Q2 2026; TTM through Jun 2026 was $12.9 billion, a 1.61% increase from a year earlier, with the FY2025 full-year figure at $12.8 billion, up 8.21% from the prior year.
- Operating Expenses was $3.3 billion for Q2 2026 at Aon, roughly flat from $3.3 billion in the prior quarter.
- The five-year high for Operating Expenses was $3.3 billion in Q2 2026, with the low at $2.1 billion in Q3 2022.
- Average Operating Expenses over 5 years is $2.8 billion, with a median of $2.8 billion recorded in 2024.
- The sharpest annual moves came in 2022 and 2024: Operating Expenses slumped 39.88% in 2022, then jumped 36.96% in 2024.
- Over 5 years, Operating Expenses stood at $2.1 billion in 2022, then grew by 22.57% to $2.6 billion in 2023, then grew by 17.72% to $3.1 billion in 2024, then advanced by 1.18% to $3.1 billion in 2025, then gained by 7.73% to $3.3 billion in 2026.
- The last three Operating Expenses figures came in at $3.3 billion (Q2 2026), $3.3 billion (Q1 2026), and $3.1 billion (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 83.52 Bn | 71.57 Bn | 6.04 Bn | 5.51 Bn |
| 2 | Aon | 62.69 Bn | 61.45 Bn | - | 3.33 Bn |
| 3 | Arthur J. Gallagher | 61.32 Bn | 59.96 Bn | - | 3.59 Bn |
| 4 | Willis Towers Watson | 28.79 Bn | 27.21 Bn | 2.09 Bn | 2.10 Bn |
| 5 | Brown & Brown | 21.46 Bn | 20.56 Bn | 1.41 Bn | 1.29 Bn |
| 6 | XChange TEC.INC | 12.72 Bn | 12.72 Bn | - | - |
| 7 | Erie Indemnity | 11.04 Bn | 10.70 Bn | - | 885.67 Mn |
| 8 | Ryan Specialty Holdings | 10.28 Bn | 10.64 Bn | - | 736.33 Mn |
| 9 | Hagerty | 4.78 Bn | 4.92 Bn | 244.11 Mn | 352.59 Mn |
| 10 | Baldwin Insurance | 4.45 Bn | 4.80 Bn | - | 501.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.33 Bn |
| Mar 31, 2026 | 3.32 Bn |
| Dec 31, 2025 | 3.09 Bn |
| Sep 30, 2025 | 3.18 Bn |
| Jun 30, 2025 | 3.30 Bn |
| Mar 31, 2025 | 3.27 Bn |
| Dec 31, 2024 | 3.06 Bn |
| Sep 30, 2024 | 3.10 Bn |
| Jun 30, 2024 | 3.10 Bn |
| Mar 31, 2024 | 2.61 Bn |
| Dec 31, 2023 | 2.60 Bn |
| Sep 30, 2023 | 2.26 Bn |
| Jun 30, 2023 | 2.34 Bn |
| Mar 31, 2023 | 2.40 Bn |
| Dec 31, 2022 | 2.12 Bn |
| Sep 30, 2022 | 2.11 Bn |
| Jun 30, 2022 | 2.28 Bn |
| Mar 31, 2022 | 2.30 Bn |
| Dec 31, 2021 | 2.11 Bn |
| Sep 30, 2021 | 3.50 Bn |
API Access
Aon 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=AON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AON", "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=AON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();