Aon (AON) Exchange Rate Effect (2009 - 2026)
Aon (AON) posted Exchange Rate Effect of -$50.0 million for Q2 2026, up 48.45% on a QoQ basis from -$97.0 million in Q1 2026, and down 110.0% year-over-year from $500.0 million in Q2 2025.
Aon (AON) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Aon has reported Exchange Rate Effect for 18 years, with the latest figure at -$50.0 million in Q2 2026.
- On a quarterly basis, Exchange Rate Effect fell 110.0% year-over-year to -$50.0 million in Q2 2026; TTM through Jun 2026 was -$165.0 million, a 132.29% decrease from a year earlier, with the FY2025 full-year figure at $678.0 million, up 275.19% from the prior year.
- Exchange Rate Effect was -$50.0 million for Q2 2026 at Aon, up from -$97.0 million in the prior quarter.
- The five-year high for Exchange Rate Effect was $530.0 million in Q4 2022, with the low at -$656.0 million in Q3 2022.
- Average Exchange Rate Effect over 5 years is -$7.8 million, with a median of -$50.0 million recorded in 2022.
- The sharpest annual moves came in 2022 and 2025: Exchange Rate Effect tumbled 692.06% in 2022, then surged 992.86% in 2025.
- Over 5 years, Exchange Rate Effect stood at $530.0 million in 2022, then sank by 39.43% to $321.0 million in 2023, then tumbled by 275.7% to -$564.0 million in 2024, then jumped by 112.77% to $72.0 million in 2025, then slumped by 169.44% to -$50.0 million in 2026.
- The last three Exchange Rate Effect figures came in at -$50.0 million (Q2 2026), -$97.0 million (Q1 2026), and $72.0 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn | -14.00 Mn |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - | -50.00 Mn |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - | -57.00 Mn |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn | -5.00 Mn |
| 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 | - | -274,000.00 |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn | -522,000.00 |
| 10 | Baldwin Insurance | 4.45 Bn | 4.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -50.00 Mn |
| Mar 31, 2026 | -97.00 Mn |
| Dec 31, 2025 | 72.00 Mn |
| Sep 30, 2025 | -90.00 Mn |
| Jun 30, 2025 | 500.00 Mn |
| Mar 31, 2025 | 196.00 Mn |
| Dec 31, 2024 | -564.00 Mn |
| Sep 30, 2024 | 379.00 Mn |
| Jun 30, 2024 | -56.00 Mn |
| Mar 31, 2024 | -146.00 Mn |
| Dec 31, 2023 | 321.00 Mn |
| Sep 30, 2023 | -260.00 Mn |
| Jun 30, 2023 | 145.00 Mn |
| Mar 31, 2023 | 58.00 Mn |
| Dec 31, 2022 | 530.00 Mn |
| Sep 30, 2022 | -656.00 Mn |
| Jun 30, 2022 | -373.00 Mn |
| Mar 31, 2022 | -50.00 Mn |
| Dec 31, 2021 | -142.00 Mn |
| Sep 30, 2021 | -122.00 Mn |
Aon Exchange Rate Effect 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=exchange-rate-effect&ticker=AON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=AON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();