Brown & Brown (BRO) Cost of Revenue (2009 - 2026)
Brown & Brown's (BRO) quarterly Cost of Revenue came in at $271.0 million in Q2 2026, up 28.44% year-over-year from $211.0 million in Q2 2025, and down 6.23% quarter-over-quarter from $289.0 million in Q1 2026.
Brown & Brown (BRO) Cost of Revenue (2009 - 2026) Analysis & Trends
Brown & Brown (BRO) has reported Cost of Revenue for 18 consecutive years, with $271.0 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Cost of Revenue rose 28.44% year-over-year to $271.0 million in Q2 2026; TTM through Jun 2026 was $1.1 billion, a 45.28% increase from a year earlier, with the FY2025 full-year figure at $959.0 million, up 35.07% from the prior year.
- Cost of Revenue was $271.0 million for Q2 2026 at Brown & Brown, down from $289.0 million in the prior quarter.
- Over five years, Cost of Revenue peaked at $289.0 million in Q1 2026 and troughed at $126.8 million in Q1 2022.
- A 5-year average of $193.2 million and a median of $168.8 million in 2022 frame the typical range for Cost of Revenue.
- Across the five-year window, Cost of Revenue jumped 67.75% in 2022 and fell 1.79% in 2024, its largest moves.
- Over 5 years, Cost of Revenue stood at $146.4 million in 2022, then increased by 9.29% to $160.0 million in 2023, then soared by 31.87% to $211.0 million in 2024, then surged by 36.02% to $287.0 million in 2025, then fell by 5.57% to $271.0 million in 2026.
- The last three Cost of Revenue figures came in at $271.0 million (Q2 2026), $289.0 million (Q1 2026), and $287.0 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 83.52 Bn | 71.57 Bn | 6.04 Bn | 1.36 Bn |
| 2 | Aon | 62.69 Bn | 61.45 Bn | - | - |
| 3 | Arthur J. Gallagher | 61.32 Bn | 59.96 Bn | - | - |
| 4 | Willis Towers Watson | 28.79 Bn | 27.21 Bn | 2.09 Bn | 380.00 Mn |
| 5 | Brown & Brown | 21.46 Bn | 20.56 Bn | 1.41 Bn | 271.00 Mn |
| 6 | XChange TEC.INC | 12.72 Bn | 12.72 Bn | - | - |
| 7 | Erie Indemnity | 11.04 Bn | 10.70 Bn | - | - |
| 8 | Ryan Specialty Holdings | 10.28 Bn | 10.64 Bn | - | - |
| 9 | Hagerty | 4.78 Bn | 4.92 Bn | 244.11 Mn | 110.71 Mn |
| 10 | Baldwin Insurance | 4.45 Bn | 4.80 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 Cost of Revenue 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=cost-of-revenue&ticker=BRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();