Arthur J. Gallagher (AJG) Operating Expenses (2009 - 2026)
Arthur J. Gallagher's (AJG) quarterly Operating Expenses came in at $3.6 billion in Q2 2026, up 30.56% on a YoY basis from $2.7 billion in Q2 2025, and down 3.39% quarter-over-quarter from $3.7 billion in Q1 2026.
Arthur J. Gallagher (AJG) Operating Expenses (2009 - 2026) Analysis & Trends
Arthur J. Gallagher (AJG) has reported Operating Expenses for 18 consecutive years, with $3.6 billion the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Operating Expenses rose 30.56% year-over-year to $3.6 billion; the trailing twelve-month figure through Jun 2026 stood at $13.8 billion (up 32.55% YoY), and the FY2025 full-year result was $12.1 billion, up 24.7% from the prior year.
- Operating Expenses declined to $3.6 billion in Q2 2026 per AJG's latest filing, from $3.7 billion in the prior quarter.
- Across five years, Operating Expenses topped out at $3.7 billion in Q1 2026 and bottomed at $1.7 billion in Q2 2022.
- Historically, Operating Expenses has averaged $2.5 billion across 5 years, with a median of $2.4 billion in 2024.
- The sharpest annual moves came in 2022 and 2025: Operating Expenses fell 9.32% in 2022, then jumped 44.72% in 2025.
- Over 5 years, Operating Expenses stood at $1.9 billion in 2022, then surged by 31.89% to $2.5 billion in 2023, then fell by 5.23% to $2.4 billion in 2024, then jumped by 44.72% to $3.4 billion in 2025, then rose by 4.08% to $3.6 billion in 2026.
- According to Business Quant data, Operating Expenses over the past three periods registered $3.6 billion, $3.7 billion, and $3.4 billion for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 83.52 Bn | 71.57 Bn | 6.04 Bn | 5.51 Bn |
| 2 | Aon | 62.69 Bn | 61.45 Bn | - | 3.33 Bn |
| 3 | Arthur J. Gallagher | 61.32 Bn | 59.96 Bn | - | 3.59 Bn |
| 4 | Willis Towers Watson | 28.79 Bn | 27.21 Bn | 2.09 Bn | 2.10 Bn |
| 5 | Brown & Brown | 21.46 Bn | 20.56 Bn | 1.41 Bn | 1.29 Bn |
| 6 | XChange TEC.INC | 12.72 Bn | 12.72 Bn | - | - |
| 7 | Erie Indemnity | 11.04 Bn | 10.70 Bn | - | 885.67 Mn |
| 8 | Ryan Specialty Holdings | 10.28 Bn | 10.64 Bn | - | 736.33 Mn |
| 9 | Hagerty | 4.78 Bn | 4.92 Bn | 244.11 Mn | 352.59 Mn |
| 10 | Baldwin Insurance | 4.45 Bn | 4.80 Bn | - | 501.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.59 Bn |
| Mar 31, 2026 | 3.72 Bn |
| Dec 31, 2025 | 3.45 Bn |
| Sep 30, 2025 | 3.02 Bn |
| Jun 30, 2025 | 2.75 Bn |
| Mar 31, 2025 | 2.85 Bn |
| Dec 31, 2024 | 2.38 Bn |
| Sep 30, 2024 | 2.40 Bn |
| Jun 30, 2024 | 2.41 Bn |
| Mar 31, 2024 | 2.48 Bn |
| Dec 31, 2023 | 2.51 Bn |
| Sep 30, 2023 | 2.13 Bn |
| Jun 30, 2023 | 2.14 Bn |
| Mar 31, 2023 | 2.10 Bn |
| Dec 31, 2022 | 1.91 Bn |
| Sep 30, 2022 | 1.73 Bn |
| Jun 30, 2022 | 1.69 Bn |
| Mar 31, 2022 | 1.90 Bn |
| Dec 31, 2021 | 1.86 Bn |
| Sep 30, 2021 | 1.91 Bn |
Arthur J. Gallagher Operating Expenses 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-expenses&ticker=AJG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=AJG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();