Brown & Brown (BRO) Amortization - Intangibles (2009 - 2026)
Brown & Brown (BRO) reported Amortization - Intangibles of $110 million for fiscal Q2 2026 (quarter ended Jun 30, 2026), up 120.0% from $50 million a year earlier but down 5.2% from the prior quarter.
Brown & Brown (BRO) Amortization - Intangibles (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Brown & Brown's Amortization - Intangibles came in at $435 million, up 123.1% year-over-year; for FY2025 (ended Dec 31, 2025), it was $312 million, up 75.3% from FY2024.
- Amortization - Intangibles has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 23.5% (FY2020 to FY2025).
- By fiscal year, Amortization - Intangibles came in at $178 million in FY2024 (+7.2%), $166 million in FY2023 (+12.9%), $147 million in FY2022 (+22.9%) and $119.6 million in FY2021 (+10.2%).
- Five-year quarterly Amortization - Intangibles spans a low of $29.5 million in fiscal Q3 2021 and a high of $116 million in fiscal Q1 2026.
- Year over year, Amortization - Intangibles has now increased in each of the last 11 quarters, with growth averaging 68.5% over the last eight quarters.
- The high point for year-over-year Amortization - Intangibles in five years was fiscal Q4 2025 (growth of 146.8%); the low point was fiscal Q3 2023 (a decline of 5.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at $116 million (Q1 2026), $116 million (Q4 2025) and $93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - |
| 10 | Brown & Brown | 20.10 Bn | 15.94 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 110.00 Mn |
| Mar 31, 2026 | 116.00 Mn |
| Dec 31, 2025 | 116.00 Mn |
| Sep 30, 2025 | 93.00 Mn |
| Jun 30, 2025 | 50.00 Mn |
| Mar 31, 2025 | 53.00 Mn |
| Dec 31, 2024 | 47.00 Mn |
| Sep 30, 2024 | 45.00 Mn |
| Jun 30, 2024 | 44.00 Mn |
| Mar 31, 2024 | 43.00 Mn |
| Dec 31, 2023 | 43.00 Mn |
| Sep 30, 2023 | 41.00 Mn |
| Jun 30, 2023 | 41.00 Mn |
| Mar 31, 2023 | 41.00 Mn |
| Dec 31, 2022 | 38.80 Mn |
| Sep 30, 2022 | 43.50 Mn |
| Jun 30, 2022 | 33.60 Mn |
| Mar 31, 2022 | 31.10 Mn |
| Dec 31, 2021 | 31.00 Mn |
| Sep 30, 2021 | 29.50 Mn |
Brown & Brown 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=BRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "BRO", "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=BRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();