Brown & Brown (BRO) Other Operating Expenses (2009 - 2026)
Brown & Brown (BRO) recorded Other Operating Expenses of $271 million in fiscal Q2 2026 (quarter ended Jun 30, 2026), up 28.4% from $211 million a year earlier but down 6.2% from the prior quarter.
Brown & Brown (BRO) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Brown & Brown's Other Operating Expenses came in at $1.12 billion as of Jun 30, 2026, up 45.3% year-over-year; for FY2025 (ended Dec 31, 2025), it was $959 million, up 35.1% from FY2024.
- Annual Other Operating Expenses has increased for five straight fiscal years, with a five-year compound annual growth rate of 21.2% (FY2020 to FY2025).
- Across earlier fiscal years, Other Operating Expenses came in at $710 million in FY2024 (+9.2%), $650 million in FY2023 (+8.9%), $597 million in FY2022 (+48.1%) and $403 million in FY2021 (+10.1%).
- Quarterly Other Operating Expenses has ranged from $101.1 million in fiscal Q3 2021 to $289 million in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for seven consecutive quarters, with growth averaging 31.8% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 67.8% in fiscal Q3 2022, against a decline of 1.8% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $289 million (Q1 2026), $287 million (Q4 2025) and $276 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 | 271.00 Mn |
| Mar 31, 2026 | 289.00 Mn |
| Dec 31, 2025 | 287.00 Mn |
| Sep 30, 2025 | 276.00 Mn |
| Jun 30, 2025 | 211.00 Mn |
| Mar 31, 2025 | 186.00 Mn |
| Dec 31, 2024 | 211.00 Mn |
| Sep 30, 2024 | 165.00 Mn |
| Jun 30, 2024 | 173.00 Mn |
| Mar 31, 2024 | 161.00 Mn |
| Dec 31, 2023 | 160.00 Mn |
| Sep 30, 2023 | 168.00 Mn |
| Jun 30, 2023 | 162.00 Mn |
| Mar 31, 2023 | 161.00 Mn |
| Dec 31, 2022 | 146.40 Mn |
| Sep 30, 2022 | 169.60 Mn |
| Jun 30, 2022 | 154.00 Mn |
| Mar 31, 2022 | 126.80 Mn |
| Dec 31, 2021 | 111.30 Mn |
| Sep 30, 2021 | 101.10 Mn |
Brown & Brown Other Operating Expenses 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=other-operating-expenses&ticker=BRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=BRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();