Arthur J. Gallagher (AJG) EBITDA (2009 - 2026)
Arthur J. Gallagher (AJG) reported EBITDA of $943 million for Q2 2026, up 9.1% from $864 million a year earlier but down 38.8% from the prior quarter.
Arthur J. Gallagher (AJG) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Arthur J. Gallagher's EBITDA came in at $3.97 billion, up 14.8% year-over-year; for FY2025, it was $3.64 billion, up 19.5% from FY2024.
- EBITDA has a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- By year, EBITDA came in at $3.05 billion in FY2024 (+41.0%), $2.16 billion in FY2023 (-1.1%), $2.19 billion in FY2022 (+25.2%) and $1.75 billion in FY2021 (+7.2%).
- Five-year quarterly EBITDA spans a low of $176.5 million in Q4 2023 and a high of $1.54 billion in Q1 2026.
- Year over year, EBITDA has now increased in each of the last ten quarters, with growth averaging 45.6% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q4 2024 (growth of 242.4%); the low point was Q4 2023 (a decline of 36.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.54 billion (Q1 2026), $704.6 million (Q4 2025) and $785.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | - |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | 3.42 Bn |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | 1.45 Bn |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | 4.52 Bn |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | - |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | 1.03 Bn |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | 1.03 Bn |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | - |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | 2.80 Bn |
| 10 | Aflac | 62.39 Bn | 38.74 Bn | 1.87 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.03 Bn |
| Jun 30, 2026 | 943.00 Mn |
| Mar 31, 2026 | 1.54 Bn |
| Dec 31, 2025 | 704.60 Mn |
| Sep 30, 2025 | 785.30 Mn |
| Jun 30, 2025 | 864.00 Mn |
| Mar 31, 2025 | 1.29 Bn |
| Dec 31, 2024 | 604.30 Mn |
| Sep 30, 2024 | 707.00 Mn |
| Jun 30, 2024 | 672.40 Mn |
| Mar 31, 2024 | 1.06 Bn |
| Dec 31, 2023 | 176.50 Mn |
| Sep 30, 2023 | 609.10 Mn |
| Jun 30, 2023 | 551.60 Mn |
| Mar 31, 2023 | 823.80 Mn |
| Dec 31, 2022 | 276.60 Mn |
| Sep 30, 2022 | 461.00 Mn |
| Jun 30, 2022 | 493.20 Mn |
| Mar 31, 2022 | 761.90 Mn |
| Dec 31, 2021 | 314.00 Mn |
Arthur J. Gallagher EBITDA 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=ebitda&ticker=AJG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AJG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();