Brown & Brown (BRO) Operating Expenses (2009 - 2026)
Brown & Brown (BRO) posted Operating Expenses of $1.29 billion for fiscal Q2 2026 (quarter ended Jun 30, 2026), up 32.8% from $974 million a year earlier but down 5.5% from the prior quarter.
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Analysis
Brown & Brown (BRO) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Brown & Brown was $5.24 billion, up 40.6% year-over-year; for FY2025 (ended Dec 31, 2025), it came in at $4.53 billion, up 29.4% from FY2024.
- Annual Operating Expenses has increased for 15 consecutive fiscal years, with a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- In prior fiscal years, Brown & Brown's Operating Expenses was $3.5 billion in FY2024 (+12.6%), $3.11 billion in FY2023 (+15.4%), $2.7 billion in FY2022 (+17.8%) and $2.29 billion in FY2021 (+15.0%).
- Quarterly Operating Expenses has run from a low of $573.8 million in fiscal Q3 2021 to a high of $1.37 billion in fiscal Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last ten quarters, with growth averaging 28.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2025, with growth of 49.0%; the weakest was fiscal Q4 2023, with a decline of 5.1%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $1.37 billion (Q1 2026), $1.29 billion (Q4 2025) and $1.3 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 3.33 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 3.59 Bn |
| 10 | Brown & Brown | 20.10 Bn | 15.94 Bn | - | 1.29 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.29 Bn |
| Mar 31, 2026 | 1.37 Bn |
| Dec 31, 2025 | 1.29 Bn |
| Sep 30, 2025 | 1.30 Bn |
| Jun 30, 2025 | 974.00 Mn |
| Mar 31, 2025 | 977.00 Mn |
| Dec 31, 2024 | 908.00 Mn |
| Sep 30, 2024 | 869.00 Mn |
| Jun 30, 2024 | 832.00 Mn |
| Mar 31, 2024 | 894.00 Mn |
| Dec 31, 2023 | 671.00 Mn |
| Sep 30, 2023 | 826.00 Mn |
| Jun 30, 2023 | 793.00 Mn |
| Mar 31, 2023 | 822.00 Mn |
| Dec 31, 2022 | 706.80 Mn |
| Sep 30, 2022 | 709.60 Mn |
| Jun 30, 2022 | 640.90 Mn |
| Mar 31, 2022 | 639.70 Mn |
| Dec 31, 2021 | 597.70 Mn |
| Sep 30, 2021 | 573.80 Mn |
API Access
Brown & Brown 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=operating-expenses&ticker=BRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=BRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();