Aon (AON) Tax Provisions (2009 - 2026)
Aon (AON) posted Tax Provisions of $159.0 million for Q2 2026, down 49.36% on a QoQ basis from $314.0 million in Q1 2026, and up 45.87% year-over-year from $109.0 million in Q2 2025.
Aon (AON) Tax Provisions (2009 - 2026) Analysis & Trends
Aon has reported Tax Provisions for 18 years, with the latest figure at $159.0 million in Q2 2026.
- On a quarterly basis, Tax Provisions rose 45.87% year-over-year to $159.0 million in Q2 2026; TTM through Jun 2026 was $1.1 billion, a 75.96% increase from a year earlier, with the FY2025 full-year figure at $1.0 billion, up 35.98% from the prior year.
- Tax Provisions was $159.0 million for Q2 2026 at Aon, down from $314.0 million in the prior quarter.
- The five-year high for Tax Provisions was $505.0 million in Q4 2025, with the low at $43.0 million in Q4 2022.
- Average Tax Provisions over 5 years is $181.9 million, with a median of $142.0 million recorded in 2024.
- The largest YoY upside for Tax Provisions was 300.0% in 2022 against a maximum downside of 73.62% in 2022.
- Over 5 years, Tax Provisions stood at $43.0 million in 2022, then jumped by 137.21% to $102.0 million in 2023, then jumped by 53.92% to $157.0 million in 2024, then surged by 221.66% to $505.0 million in 2025, then sank by 68.51% to $159.0 million in 2026.
- The last three Tax Provisions figures came in at $159.0 million (Q2 2026), $314.0 million (Q1 2026), and $505.0 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 83.52 Bn | 71.57 Bn | 6.04 Bn | 411.00 Mn |
| 2 | Aon | 62.69 Bn | 61.45 Bn | - | 159.00 Mn |
| 3 | Arthur J. Gallagher | 61.32 Bn | 59.96 Bn | - | 90.00 Mn |
| 4 | Willis Towers Watson | 28.79 Bn | 27.21 Bn | 2.09 Bn | 57.00 Mn |
| 5 | Brown & Brown | 21.46 Bn | 20.56 Bn | 1.41 Bn | 94.00 Mn |
| 6 | XChange TEC.INC | 12.72 Bn | 12.72 Bn | - | - |
| 7 | Erie Indemnity | 11.04 Bn | 10.70 Bn | - | 47.78 Mn |
| 8 | Ryan Specialty Holdings | 10.28 Bn | 10.64 Bn | - | 22.35 Mn |
| 9 | Hagerty | 4.78 Bn | 4.92 Bn | 244.11 Mn | -5.81 Mn |
| 10 | Baldwin Insurance | 4.45 Bn | 4.80 Bn | - | 84,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 159.00 Mn |
| Mar 31, 2026 | 314.00 Mn |
| Dec 31, 2025 | 505.00 Mn |
| Sep 30, 2025 | 127.00 Mn |
| Jun 30, 2025 | 109.00 Mn |
| Mar 31, 2025 | 268.00 Mn |
| Dec 31, 2024 | 157.00 Mn |
| Sep 30, 2024 | 94.00 Mn |
| Jun 30, 2024 | 160.00 Mn |
| Mar 31, 2024 | 331.00 Mn |
| Dec 31, 2023 | 102.00 Mn |
| Sep 30, 2023 | 93.00 Mn |
| Jun 30, 2023 | 83.00 Mn |
| Mar 31, 2023 | 263.00 Mn |
| Dec 31, 2022 | 43.00 Mn |
| Sep 30, 2022 | 92.00 Mn |
| Jun 30, 2022 | 119.00 Mn |
| Mar 31, 2022 | 256.00 Mn |
| Dec 31, 2021 | 163.00 Mn |
| Sep 30, 2021 | 23.00 Mn |
Aon Tax Provisions 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=tax-provisions&ticker=AON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=AON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();