Brown & Brown (BRO) EBITDA Margin (2009 - 2026)
Brown & Brown's (BRO) quarterly EBITDA Margin came in at 7.76% in Q2 2026, down 88.0% year-over-year from 64.64% in Q2 2025, and down 43.5% quarter-over-quarter from 13.73% in Q1 2026.
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Analysis
Brown & Brown (BRO) EBITDA Margin (2009 - 2026) Analysis & Trends
Brown & Brown (BRO) has reported EBITDA Margin for 18 consecutive years, with 7.76% the latest figure, recorded in Q2 2026.
- On a quarterly basis, EBITDA Margin fell 88.0% year-over-year to 7.76% in Q2 2026; TTM through Jun 2026 was 7.25%, a 464.0% decrease from a year earlier, with the FY2025 full-year figure at 7.91%, down 534.0% from the prior year.
- EBITDA Margin was 7.76% for Q2 2026 at Brown & Brown, down from 13.73% in the prior quarter.
- Over five years, EBITDA Margin peaked at 19.98% in Q4 2023 and troughed at 3.05% in Q3 2025.
- A 5-year average of 10.72% and a median of 9.19% in 2023 frame the typical range for EBITDA Margin.
- Across the five-year window, EBITDA Margin soared 1349 bps in 2023 and plunged 1364 bps in 2024, its largest moves.
- Over 5 years, EBITDA Margin stood at 6.49% in 2022, then surged by 208 bps to 19.98% in 2023, then sank by 68 bps to 6.34% in 2024, then tumbled by 49 bps to 3.24% in 2025, then soared by 140 bps to 7.76% in 2026.
- The last three EBITDA Margin figures came in at 7.76% (Q2 2026), 13.73% (Q1 2026), and 3.24% (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn | 25.65% |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - | 22.70% |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - | 15.96% |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn | 14.76% |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn | 7.76% |
| 6 | XChange TEC.INC | 11.95 Bn | 11.95 Bn | - | - |
| 7 | Erie Indemnity | 10.83 Bn | 10.48 Bn | - | 18.73% |
| 8 | Ryan Specialty Holdings | 9.82 Bn | 10.19 Bn | - | 20.12% |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn | 3.10% |
| 10 | Baldwin Insurance | 4.45 Bn | 4.81 Bn | - | -1.13% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.76% |
| Mar 31, 2026 | 13.73% |
| Dec 31, 2025 | 3.24% |
| Sep 30, 2025 | 3.05% |
| Jun 30, 2025 | 8.64% |
| Mar 31, 2025 | 17.95% |
| Dec 31, 2024 | 6.34% |
| Sep 30, 2024 | 13.74% |
| Jun 30, 2024 | 15.62% |
| Mar 31, 2024 | 17.01% |
| Dec 31, 2023 | 19.98% |
| Sep 30, 2023 | 7.87% |
| Jun 30, 2023 | 9.74% |
| Mar 31, 2023 | 12.81% |
| Dec 31, 2022 | 6.49% |
| Sep 30, 2022 | 6.44% |
| Jun 30, 2022 | 6.40% |
| Mar 31, 2022 | 16.17% |
| Dec 31, 2021 | 5.06% |
| Sep 30, 2021 | 13.58% |
API Access
Brown & Brown EBITDA Margin 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-margin&ticker=BRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=BRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();