Arthur J. Gallagher (AJG) EBITDA (2009 - 2026)
Arthur J. Gallagher (AJG) reported EBITDA of $940 million for Q2 2026, up 9.2% from $861 million a year earlier but down 39.0% from the prior quarter.
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Analysis
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 13.2% year-over-year; for FY2025, it was $3.63 billion, up 17.2% from FY2024.
- EBITDA has increased for four consecutive years, with a five-year compound annual growth rate of 45.8% (FY2020 to FY2025).
- By year, EBITDA came in at $3.1 billion in FY2024 (+42.2%), $2.18 billion in FY2023 (+14.5%), $1.9 billion in FY2022 (+417.0%) and $368.2 million in FY2021 (-33.2%).
- Five-year quarterly EBITDA spans a low of -$3.4 million in Q3 2021 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 45.0% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q4 2022 (growth of 810.9%); the low point was Q4 2021 (a decline of 40.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.54 billion (Q1 2026), $702.7 million (Q4 2025) and $783.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.91 Bn | 84.49 Bn | 9.13 Bn | - |
| 2 | Progressive | 129.10 Bn | 104.94 Bn | 9.04 Bn | -10.28 Bn |
| 3 | Marsh & Mclennan Companies | 90.59 Bn | 82.75 Bn | - | 1.45 Bn |
| 4 | Travelers Companies | 83.63 Bn | 59.88 Bn | 6.23 Bn | -1.20 Bn |
| 5 | Manulife Financial | 77.07 Bn | -17.81 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.18 Bn | 60.59 Bn | - | 943.00 Mn |
| 7 | Metlife | 65.65 Bn | -41.13 Bn | 7.82 Bn | - |
| 8 | Allstate | 64.02 Bn | 25.29 Bn | 8.73 Bn | -5.63 Bn |
| 9 | Aon | 62.98 Bn | 56.19 Bn | - | 1.14 Bn |
| 10 | Aflac | 60.74 Bn | 35.95 Bn | 2.27 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 | 675.10 Mn |
| Dec 31, 2021 | 23.30 Mn |
| Sep 30, 2021 | -3.10 Mn |
API Access
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_KEYimport 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();