Aon (AON) Operating Leases (2019 - 2026)
Aon (AON) posted Operating Leases of $730.0 million for Q2 2026, up 15.32% on a QoQ basis from $633.0 million in Q1 2026, and up 3.55% year-over-year from $705.0 million in Q2 2025.
Aon (AON) Operating Leases (2019 - 2026) Analysis & Trends
Aon has reported Operating Leases for 8 years, with the latest figure at $730.0 million in Q2 2026.
- On a quarterly basis, Operating Leases rose 3.55% year-over-year to $730.0 million in Q2 2026; TTM through Jun 2026 was $730.0 million, a 3.55% increase from a year earlier, with the FY2025 full-year figure at $641.0 million, down 6.42% from the prior year.
- Operating Leases was $730.0 million for Q2 2026 at Aon, up from $633.0 million in the prior quarter.
- The five-year high for Operating Leases was $736.0 million in Q1 2022, with the low at $611.0 million in Q1 2024.
- Average Operating Leases over 5 years is $676.8 million, with a median of $683.0 million recorded in 2023.
- The sharpest annual moves came in 2022 and 2025: Operating Leases fell 18.36% in 2022, then climbed 12.77% in 2025.
- Over 5 years, Operating Leases stood at $693.0 million in 2022, then slipped by 7.5% to $641.0 million in 2023, then increased by 6.86% to $685.0 million in 2024, then slipped by 6.42% to $641.0 million in 2025, then climbed by 13.88% to $730.0 million in 2026.
- The last three Operating Leases figures came in at $730.0 million (Q2 2026), $633.0 million (Q1 2026), and $641.0 million (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 | 730.00 Mn |
| Mar 31, 2026 | 633.00 Mn |
| Dec 31, 2025 | 641.00 Mn |
| Sep 30, 2025 | 651.00 Mn |
| Jun 30, 2025 | 705.00 Mn |
| Mar 31, 2025 | 689.00 Mn |
| Dec 31, 2024 | 685.00 Mn |
| Sep 30, 2024 | 712.00 Mn |
| Jun 30, 2024 | 702.00 Mn |
| Mar 31, 2024 | 611.00 Mn |
| Dec 31, 2023 | 641.00 Mn |
| Sep 30, 2023 | 640.00 Mn |
| Jun 30, 2023 | 675.00 Mn |
| Mar 31, 2023 | 681.00 Mn |
| Dec 31, 2022 | 693.00 Mn |
| Sep 30, 2022 | 667.00 Mn |
| Jun 30, 2022 | 691.00 Mn |
| Mar 31, 2022 | 736.00 Mn |
| Dec 31, 2021 | 772.00 Mn |
| Sep 30, 2021 | 817.00 Mn |
Aon Operating Leases 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-leases&ticker=AON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=AON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();