Brown & Brown (BRO) Operating Leases (2019 - 2026)
Brown & Brown's (BRO) quarterly Operating Leases came in at $248.0 million in Q2 2026, up 33.33% year-over-year from $186.0 million in Q2 2025, and up 4.2% quarter-over-quarter from $238.0 million in Q1 2026.
Brown & Brown (BRO) Operating Leases (2019 - 2026) Analysis & Trends
Brown & Brown (BRO) has reported Operating Leases for 8 consecutive years, with $248.0 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Operating Leases rose 33.33% year-over-year to $248.0 million in Q2 2026; TTM through Jun 2026 was $248.0 million, a 33.33% increase from a year earlier, with the FY2025 full-year figure at $243.0 million, up 28.57% from the prior year.
- Operating Leases was $248.0 million for Q2 2026 at Brown & Brown, up from $238.0 million in the prior quarter.
- Over five years, Operating Leases peaked at $248.0 million in Q2 2026 and troughed at $178.0 million in Q1 2024.
- A 5-year average of $198.1 million and a median of $186.0 million in 2023 frame the typical range for Operating Leases.
- Across the five-year window, Operating Leases slipped 8.63% in 2023 and soared 34.25% in 2025, its largest moves.
- Over 5 years, Operating Leases stood at $195.9 million in 2022, then decreased by 8.63% to $179.0 million in 2023, then advanced by 5.59% to $189.0 million in 2024, then increased by 28.57% to $243.0 million in 2025, then climbed by 2.06% to $248.0 million in 2026.
- The last three Operating Leases figures came in at $248.0 million (Q2 2026), $238.0 million (Q1 2026), and $243.0 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn |
| 6 | XChange TEC.INC | 11.95 Bn | 11.95 Bn | - |
| 7 | Erie Indemnity | 10.83 Bn | 10.48 Bn | - |
| 8 | Ryan Specialty Holdings | 9.82 Bn | 10.19 Bn | - |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn |
| 10 | Baldwin Insurance | 4.45 Bn | 4.81 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 248.00 Mn |
| Mar 31, 2026 | 238.00 Mn |
| Dec 31, 2025 | 243.00 Mn |
| Sep 30, 2025 | 243.00 Mn |
| Jun 30, 2025 | 186.00 Mn |
| Mar 31, 2025 | 186.00 Mn |
| Dec 31, 2024 | 189.00 Mn |
| Sep 30, 2024 | 181.00 Mn |
| Jun 30, 2024 | 180.00 Mn |
| Mar 31, 2024 | 178.00 Mn |
| Dec 31, 2023 | 179.00 Mn |
| Sep 30, 2023 | 178.90 Mn |
| Jun 30, 2023 | 186.00 Mn |
| Mar 31, 2023 | 191.00 Mn |
| Dec 31, 2022 | 195.90 Mn |
| Sep 30, 2022 | 191.40 Mn |
| Jun 30, 2022 | 185.90 Mn |
| Mar 31, 2022 | 185.70 Mn |
| Dec 31, 2021 | 180.00 Mn |
| Sep 30, 2021 | 171.57 Mn |
Brown & Brown Operating Leases 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-leases&ticker=BRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=BRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();