Brown & Brown (BRO) Intangibles (2009 - 2026)
Brown & Brown's (BRO) quarterly Intangibles came in at $4.6 billion in Q2 2026, up 144.91% year-over-year from $1.9 billion in Q2 2025, and down 4.43% quarter-over-quarter from $4.8 billion in Q1 2026.
Brown & Brown (BRO) Intangibles (2009 - 2026) Analysis & Trends
Brown & Brown (BRO) has reported Intangibles for 18 consecutive years, with $4.6 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Intangibles rose 144.91% year-over-year to $4.6 billion in Q2 2026; TTM through Jun 2026 was $4.6 billion, a 144.91% increase from a year earlier, with the FY2025 full-year figure at $4.9 billion, up 170.45% from the prior year.
- Intangibles was $4.6 billion for Q2 2026 at Brown & Brown, down from $4.8 billion in the prior quarter.
- Over five years, Intangibles peaked at $5.0 billion in Q3 2025 and troughed at $1.1 billion in Q2 2022.
- A 5-year average of $2.3 billion and a median of $1.6 billion in 2022 frame the typical range for Intangibles.
- Across the five-year window, Intangibles slipped 3.55% in 2023 and soared 213.02% in 2025, its largest moves.
- Over 5 years, Intangibles stood at $1.6 billion in 2022, then grew by 1.62% to $1.6 billion in 2023, then advanced by 11.91% to $1.8 billion in 2024, then jumped by 170.45% to $4.9 billion in 2025, then decreased by 6.85% to $4.6 billion in 2026.
- The last three Intangibles figures came in at $4.6 billion (Q2 2026), $4.8 billion (Q1 2026), and $4.9 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn | 4.51 Bn |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - | 5.66 Bn |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - | 10.21 Bn |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn | 409.00 Mn |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn | 4.57 Bn |
| 6 | XChange TEC.INC | 11.95 Bn | 11.95 Bn | - | 98,000.00 |
| 7 | Erie Indemnity | 10.83 Bn | 10.48 Bn | - | - |
| 8 | Ryan Specialty Holdings | 9.82 Bn | 10.19 Bn | - | 127.13 Mn |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn | 89.32 Mn |
| 10 | Baldwin Insurance | 4.45 Bn | 4.81 Bn | - | 1.45 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.57 Bn |
| Mar 31, 2026 | 4.78 Bn |
| Dec 31, 2025 | 4.91 Bn |
| Sep 30, 2025 | 4.95 Bn |
| Jun 30, 2025 | 1.87 Bn |
| Mar 31, 2025 | 1.82 Bn |
| Dec 31, 2024 | 1.81 Bn |
| Sep 30, 2024 | 1.58 Bn |
| Jun 30, 2024 | 1.57 Bn |
| Mar 31, 2024 | 1.59 Bn |
| Dec 31, 2023 | 1.62 Bn |
| Sep 30, 2023 | 1.53 Bn |
| Jun 30, 2023 | 1.56 Bn |
| Mar 31, 2023 | 1.58 Bn |
| Dec 31, 2022 | 1.60 Bn |
| Sep 30, 2022 | 1.59 Bn |
| Jun 30, 2022 | 1.15 Bn |
| Mar 31, 2022 | 1.17 Bn |
| Dec 31, 2021 | 1.08 Bn |
| Sep 30, 2021 | 1.05 Bn |
Brown & Brown 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=intangibles&ticker=BRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=BRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();