Brown & Brown (BRO) EBITDA (2009 - 2026)
Brown & Brown (BRO) reported EBITDA of $670 million for fiscal Q2 2026 (quarter ended Jun 30, 2026), up 47.9% from $453 million a year earlier but down 19.4% from the prior quarter.
Brown & Brown (BRO) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Brown & Brown's EBITDA came in at $2.71 billion, up 44.3% year-over-year; for FY2025 (ended Dec 31, 2025), it came in at $2.23 billion, up 22.9% from FY2024.
- EBITDA has increased for 12 consecutive fiscal years, with a five-year compound annual growth rate of 22.2% (FY2020 to FY2025).
- By fiscal year, EBITDA came in at $1.81 billion in FY2024 (+11.1%), $1.63 billion in FY2023 (+27.7%), $1.28 billion in FY2022 (+30.4%) and $980.7 million in FY2021 (+19.9%).
- Five-year quarterly EBITDA spans a low of $195.9 million in fiscal Q4 2021 and a high of $831 million in fiscal Q1 2026.
- Year over year, EBITDA has now increased in each of the last four quarters, with growth averaging 26.4% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was fiscal Q4 2023 (growth of 57.8%); the low point was fiscal Q4 2024 (a decline of 10.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at $831 million (Q1 2026), $629 million (Q4 2025) and $578 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | -26.60 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | - |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | -10.28 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 2.13 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | -1.20 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 | - | 1.14 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 940.00 Mn |
| 10 | Brown & Brown | 20.10 Bn | 15.94 Bn | - | 670.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 670.00 Mn |
| Mar 31, 2026 | 831.00 Mn |
| Dec 31, 2025 | 629.00 Mn |
| Sep 30, 2025 | 578.00 Mn |
| Jun 30, 2025 | 453.00 Mn |
| Mar 31, 2025 | 569.00 Mn |
| Dec 31, 2024 | 407.00 Mn |
| Sep 30, 2024 | 447.00 Mn |
| Jun 30, 2024 | 472.00 Mn |
| Mar 31, 2024 | 489.00 Mn |
| Dec 31, 2023 | 455.90 Mn |
| Sep 30, 2023 | 340.00 Mn |
| Jun 30, 2023 | 354.00 Mn |
| Mar 31, 2023 | 392.00 Mn |
| Dec 31, 2022 | 288.90 Mn |
| Sep 30, 2022 | 314.30 Mn |
| Jun 30, 2022 | 277.30 Mn |
| Mar 31, 2022 | 322.50 Mn |
| Dec 31, 2021 | 195.90 Mn |
| Sep 30, 2021 | 251.50 Mn |
Brown & Brown 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=BRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=BRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();