Arthur J. Gallagher (AJG) Amortization - Intangibles (2009 - 2026)
Arthur J. Gallagher's Amortization - Intangibles was $301 million in Q2 2026, up 67.2% from $180 million a year earlier and up 8.3% from the prior quarter.
Arthur J. Gallagher (AJG) Amortization - Intangibles (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arthur J. Gallagher's Amortization - Intangibles was $1.1 billion through Jun 30, 2026, up 53.0% year-over-year; for FY2025, it was $916 million, up 37.7% from FY2024.
- Amortization - Intangibles has now increased for four consecutive years, with a five-year compound annual growth rate of 17.0% (FY2020 to FY2025).
- In earlier years, Amortization - Intangibles was $665 million in FY2024 (+25.0%), $532 million in FY2023 (+16.9%), $454.9 million in FY2022 (+9.6%) and $415.1 million in FY2021 (-0.5%).
- Quarterly Amortization - Intangibles has moved between $92.9 million (Q3 2021) and $303.4 million (Q4 2025) over five years.
- Compared with a year earlier, Amortization - Intangibles has increased for 13 straight quarters, with growth averaging 36.6% over the last eight quarters.
- The best year-over-year quarter for Amortization - Intangibles over five years was Q4 2025 (growth of 81.5%); the worst was Q2 2022 (a decline of 7.1%).
- Per Business Quant data, AJG's Amortization - Intangibles in the three quarters before Q2 2026 was $278 million (Q1 2026), $303.4 million (Q4 2025) and $222.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 140.65 Bn | 87.23 Bn | 9.13 Bn |
| 2 | Progressive | 133.70 Bn | 109.53 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 94.75 Bn | 86.91 Bn | - |
| 4 | Travelers Companies | 85.38 Bn | 61.63 Bn | 6.23 Bn |
| 5 | Manulife Financial | 77.63 Bn | -17.25 Bn | - |
| 6 | Arthur J. Gallagher | 69.27 Bn | 63.67 Bn | - |
| 7 | Metlife | 66.42 Bn | -40.36 Bn | 7.82 Bn |
| 8 | Allstate | 66.13 Bn | 27.40 Bn | 8.73 Bn |
| 9 | Aon | 65.25 Bn | 58.47 Bn | - |
| 10 | Aflac | 61.98 Bn | 37.19 Bn | 2.27 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 301.00 Mn |
| Mar 31, 2026 | 278.00 Mn |
| Dec 31, 2025 | 303.40 Mn |
| Sep 30, 2025 | 222.20 Mn |
| Jun 30, 2025 | 180.00 Mn |
| Mar 31, 2025 | 210.00 Mn |
| Dec 31, 2024 | 167.20 Mn |
| Sep 30, 2024 | 164.70 Mn |
| Jun 30, 2024 | 170.80 Mn |
| Mar 31, 2024 | 162.30 Mn |
| Dec 31, 2023 | 146.70 Mn |
| Sep 30, 2023 | 128.70 Mn |
| Jun 30, 2023 | 134.90 Mn |
| Mar 31, 2023 | 121.70 Mn |
| Dec 31, 2022 | 117.40 Mn |
| Sep 30, 2022 | 112.60 Mn |
| Jun 30, 2022 | 100.30 Mn |
| Mar 31, 2022 | 124.60 Mn |
| Dec 31, 2021 | 109.00 Mn |
| Sep 30, 2021 | 92.90 Mn |
Arthur J. Gallagher Amortization - Intangibles 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=amortization-intangibles&ticker=AJG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=AJG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();