Brown & Brown (BRO) Accumulated Expenses (2009 - 2026)
Brown & Brown (BRO) recorded Accumulated Expenses of $683 million in fiscal Q2 2026 (quarter ended Jun 30, 2026), up 28.9% from $530 million a year earlier but down 1.7% from the prior quarter.
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Analysis
Brown & Brown (BRO) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Dec 31, 2025), Brown & Brown reported Accumulated Expenses of $875 million, up 34.0% from FY2024.
- Annual Accumulated Expenses has increased for 11 straight fiscal years, with a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- Across earlier fiscal years, Accumulated Expenses came in at $653 million in FY2024 (+7.4%), $608 million in FY2023 (+12.3%), $541.5 million in FY2022 (+18.7%) and $456.2 million in FY2021 (+22.7%).
- Quarterly Accumulated Expenses has ranged from $327 million in fiscal Q1 2022 to $875 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for 20 consecutive quarters, with growth averaging 24.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Accumulated Expenses ran from 6.0% in fiscal Q2 2025 to 50.1% in fiscal Q1 2026.
- Per Business Quant, the preceding three fiscal quarters came in at $695 million (Q1 2026), $875 million (Q4 2025) and $840 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 683.00 Mn |
| Mar 31, 2026 | 695.00 Mn |
| Dec 31, 2025 | 875.00 Mn |
| Sep 30, 2025 | 840.00 Mn |
| Jun 30, 2025 | 530.00 Mn |
| Mar 31, 2025 | 463.00 Mn |
| Dec 31, 2024 | 653.00 Mn |
| Sep 30, 2024 | 597.00 Mn |
| Jun 30, 2024 | 500.00 Mn |
| Mar 31, 2024 | 421.00 Mn |
| Dec 31, 2023 | 608.00 Mn |
| Sep 30, 2023 | 507.50 Mn |
| Jun 30, 2023 | 448.60 Mn |
| Mar 31, 2023 | 375.80 Mn |
| Dec 31, 2022 | 541.50 Mn |
| Sep 30, 2022 | 435.90 Mn |
| Jun 30, 2022 | 421.40 Mn |
| Mar 31, 2022 | 327.00 Mn |
| Dec 31, 2021 | 456.20 Mn |
| Sep 30, 2021 | 386.37 Mn |
API Access
Brown & Brown Accumulated 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=accumulated-expenses&ticker=BRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=BRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();