Aon (AON) Other Accumulated Expenses (2009 - 2026)
Aon (AON) posted Other Accumulated Expenses of $2.2 billion for Q2 2026, down 2.65% on a QoQ basis from $2.3 billion in Q1 2026, and down 1.1% year-over-year from $2.3 billion in Q2 2025.
Aon (AON) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
Aon has reported Other Accumulated Expenses for 18 years, with the latest figure at $2.2 billion in Q2 2026.
- On a quarterly basis, Other Accumulated Expenses fell 1.1% year-over-year to $2.2 billion in Q2 2026; TTM through Jun 2026 was $2.2 billion, a 1.1% decrease from a year earlier, with the FY2025 full-year figure at $1.9 billion, up 6.43% from the prior year.
- Other Accumulated Expenses was $2.2 billion for Q2 2026 at Aon, down from $2.3 billion in the prior quarter.
- The five-year high for Other Accumulated Expenses was $2.3 billion in Q2 2024, with the low at $1.3 billion in Q4 2022.
- Average Other Accumulated Expenses over 5 years is $1.9 billion, with a median of $1.9 billion recorded in 2023.
- The largest YoY upside for Other Accumulated Expenses was 42.12% in 2024 against a maximum downside of 5.59% in 2024.
- Over 5 years, Other Accumulated Expenses stood at $1.3 billion in 2022, then jumped by 39.42% to $1.9 billion in 2023, then decreased by 5.59% to $1.8 billion in 2024, then gained by 6.43% to $1.9 billion in 2025, then rose by 18.81% to $2.2 billion in 2026.
- The last three Other Accumulated Expenses figures came in at $2.2 billion (Q2 2026), $2.3 billion (Q1 2026), and $1.9 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn |
| 6 | XChange TEC.INC | 11.95 Bn | 11.95 Bn | - |
| 7 | Erie Indemnity | 10.83 Bn | 10.48 Bn | - |
| 8 | Ryan Specialty Holdings | 9.82 Bn | 10.19 Bn | - |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn |
| 10 | Baldwin Insurance | 4.45 Bn | 4.81 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.24 Bn |
| Mar 31, 2026 | 2.30 Bn |
| Dec 31, 2025 | 1.89 Bn |
| Sep 30, 2025 | 2.19 Bn |
| Jun 30, 2025 | 2.27 Bn |
| Mar 31, 2025 | 2.13 Bn |
| Dec 31, 2024 | 1.77 Bn |
| Sep 30, 2024 | 1.91 Bn |
| Jun 30, 2024 | 2.31 Bn |
| Mar 31, 2024 | 2.15 Bn |
| Dec 31, 2023 | 1.88 Bn |
| Sep 30, 2023 | 1.73 Bn |
| Jun 30, 2023 | 1.79 Bn |
| Mar 31, 2023 | 1.51 Bn |
| Dec 31, 2022 | 1.35 Bn |
| Sep 30, 2022 | 1.48 Bn |
| Jun 30, 2022 | 1.75 Bn |
| Mar 31, 2022 | 1.59 Bn |
| Dec 31, 2021 | 1.33 Bn |
| Sep 30, 2021 | 1.35 Bn |
Aon Other Accumulated 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=other-accumulated-expenses&ticker=AON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=AON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();