Arthur J. Gallagher (AJG) Operating Leases (2019 - 2026)
Arthur J. Gallagher's Operating Leases was $497 million in Q2 2026, up 23.6% from $402 million a year earlier but down 0.4% from the prior quarter.
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Analysis
Arthur J. Gallagher (AJG) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Arthur J. Gallagher came in at $515 million, up 57.0% from FY2024.
- Operating Leases shows a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- In earlier years, Operating Leases was $328 million in FY2024 (-6.9%), $352.2 million in FY2023 (+17.2%), $300.4 million in FY2022 (-2.9%) and $309.3 million in FY2021 (-3.6%).
- Quarterly Operating Leases has moved between $281.4 million (Q3 2021) and $577.1 million (Q3 2025) over five years.
- Compared with a year earlier, Operating Leases has increased for five straight quarters, with growth averaging 27.7% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was Q3 2025 (growth of 76.9%); the worst was Q4 2024 (a decline of 6.9%).
- Per Business Quant data, AJG's Operating Leases in the three quarters before Q2 2026 was $499 million (Q1 2026), $515 million (Q4 2025) and $577.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn |
| 10 | Aon | 57.70 Bn | 50.94 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 497.00 Mn |
| Mar 31, 2026 | 499.00 Mn |
| Dec 31, 2025 | 515.00 Mn |
| Sep 30, 2025 | 577.10 Mn |
| Jun 30, 2025 | 402.00 Mn |
| Mar 31, 2025 | 326.30 Mn |
| Dec 31, 2024 | 328.00 Mn |
| Sep 30, 2024 | 326.20 Mn |
| Jun 30, 2024 | 335.20 Mn |
| Mar 31, 2024 | 338.00 Mn |
| Dec 31, 2023 | 352.20 Mn |
| Sep 30, 2023 | 321.70 Mn |
| Jun 30, 2023 | 332.00 Mn |
| Mar 31, 2023 | 311.40 Mn |
| Dec 31, 2022 | 300.40 Mn |
| Sep 30, 2022 | 301.90 Mn |
| Jun 30, 2022 | 313.30 Mn |
| Mar 31, 2022 | 333.30 Mn |
| Dec 31, 2021 | 309.30 Mn |
| Sep 30, 2021 | 281.40 Mn |
API Access
Arthur J. Gallagher 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=AJG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "AJG", "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=AJG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();