Aon (AON) Change in Taxes (2009 - 2026)
Aon (AON) posted Change in Taxes of -$312.0 million for Q2 2026, down 228.4% on a QoQ basis from $243.0 million in Q1 2026, and down 38.67% year-over-year from -$508.7 million in Q2 2025.
Aon (AON) Change in Taxes (2009 - 2026) Analysis & Trends
Aon has reported Change in Taxes for 18 years, with the latest figure at -$312.0 million in Q2 2026.
- On a quarterly basis, Change in Taxes fell 38.67% year-over-year to -$312.0 million in Q2 2026; TTM through Jun 2026 was $118.0 million, a 188.72% increase from a year earlier, with the FY2025 full-year figure at $114.0 million, changed N/A from the prior year.
- Change in Taxes was -$312.0 million for Q2 2026 at Aon, down from $243.0 million in the prior quarter.
- The five-year high for Change in Taxes was $255.0 million in Q4 2025, with the low at -$312.0 million in Q2 2026.
- Average Change in Taxes over 5 years is $24.2 million, with a median of $42.5 million recorded in 2022.
- The sharpest annual moves came in 2023 and 2024: Change in Taxes soared 600.0% in 2023, then sank 3680.0% in 2024.
- Over 5 years, Change in Taxes stood at $80.0 million in 2022, then soared by 45.0% to $116.0 million in 2023, then climbed by 2.59% to $119.0 million in 2024, then jumped by 114.29% to $255.0 million in 2025, then plunged by 222.35% to -$312.0 million in 2026.
- The last three Change in Taxes figures came in at -$312.0 million (Q2 2026), $243.0 million (Q1 2026), and $255.0 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn | 12.00 Mn |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - | -312.00 Mn |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - | -116.00 Mn |
| 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 | -312.00 Mn |
| Mar 31, 2026 | 243.00 Mn |
| Dec 31, 2025 | 255.00 Mn |
| Sep 30, 2025 | -68.00 Mn |
| Jun 30, 2025 | -225.00 Mn |
| Mar 31, 2025 | 152.00 Mn |
| Dec 31, 2024 | 119.00 Mn |
| Sep 30, 2024 | -179.00 Mn |
| Jun 30, 2024 | -103.00 Mn |
| Mar 31, 2024 | 163.00 Mn |
| Dec 31, 2023 | 116.00 Mn |
| Sep 30, 2023 | 5.00 Mn |
| Jun 30, 2023 | -73.00 Mn |
| Mar 31, 2023 | 126.00 Mn |
| Dec 31, 2022 | 80.00 Mn |
| Sep 30, 2022 | -1.00 Mn |
| Jun 30, 2022 | -16.00 Mn |
| Mar 31, 2022 | 153.00 Mn |
| Dec 31, 2021 | 153.00 Mn |
| Sep 30, 2021 | -36.00 Mn |
Aon Change in Taxes 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-taxes&ticker=AON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=AON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();