Brown & Brown (BRO) Acquisitions (2009 - 2026)
Brown & Brown (BRO) reported Acquisitions of $13 million for fiscal Q2 2026 (quarter ended Jun 30, 2026), down 86.2% from $94 million a year earlier and down 23.5% from the prior quarter.
Brown & Brown (BRO) Acquisitions (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Brown & Brown's Acquisitions came in at $7.72 billion, up 710.4% year-over-year; for FY2025 (ended Dec 31, 2025), it came in at $7.85 billion, up 782.5% from FY2024.
- Acquisitions has a five-year compound annual growth rate of 62.4% (FY2020 to FY2025).
- By fiscal year, Acquisitions came in at $890 million in FY2024 (+41.0%), $631 million in FY2023 (-67.3%), $1.93 billion in FY2022 (+425.6%) and $366.8 million in FY2021 (-47.2%).
- The fiscal Q2 2026 figure ranks as the lowest quarterly Acquisitions since fiscal Q2 2017.
- Year over year, Acquisitions has now declined in each of the last three quarters, with growth averaging 12.4% over the last seven quarters.
- The high point for year-over-year Acquisitions in five years was fiscal Q1 2022 (growth of 519.3%); the low point was fiscal Q3 2023 (a decline of 96.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at $17 million (Q1 2026), $195 million (Q4 2025) and $7.5 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 14.00 Mn |
| 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 | - | 88.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 10.00 Mn |
| 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 | - | 26.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | - |
| 10 | Brown & Brown | 20.10 Bn | 15.94 Bn | - | 13.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.00 Mn |
| Mar 31, 2026 | 17.00 Mn |
| Dec 31, 2025 | 195.00 Mn |
| Sep 30, 2025 | 7.50 Bn |
| Jun 30, 2025 | 94.00 Mn |
| Mar 31, 2025 | 67.00 Mn |
| Dec 31, 2024 | 772.00 Mn |
| Sep 30, 2024 | 20.00 Mn |
| Jun 30, 2024 | 22.00 Mn |
| Mar 31, 2024 | 76.00 Mn |
| Dec 31, 2023 | 468.00 Mn |
| Sep 30, 2023 | 48.00 Mn |
| Jun 30, 2023 | 77.00 Mn |
| Mar 31, 2023 | 38.00 Mn |
| Dec 31, 2022 | 38.30 Mn |
| Sep 30, 2022 | 1.43 Bn |
| Jun 30, 2022 | 21.20 Mn |
| Mar 31, 2022 | 436.00 Mn |
| Dec 31, 2021 | 188.80 Mn |
| Sep 30, 2021 | 61.40 Mn |
Brown & Brown Acquisitions 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=acquisitions&ticker=BRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=BRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();