Brown & Brown (BRO) Tax Provisions (2009 - 2026)
Brown & Brown's Tax Provisions was $94 million in fiscal Q2 2026 (quarter ended Jun 30, 2026), up 22.1% from $77 million a year earlier but down 11.3% from the prior quarter.
Brown & Brown (BRO) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Brown & Brown's Tax Provisions was $335 million through Jun 30, 2026, up 7.4% year-over-year; for FY2025 (ended Dec 31, 2025), it came in at $304 million, up 1.0% from FY2024.
- Tax Provisions has now increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- In earlier fiscal years, Tax Provisions was $301 million in FY2024 (+9.5%), $275 million in FY2023 (+34.8%), $204 million in FY2022 (+16.1%) and $175.7 million in FY2021 (+22.4%).
- Quarterly Tax Provisions has moved between $39.1 million (fiscal Q4 2021) and $106 million (fiscal Q1 2026) over five years.
- Compared with a year earlier, Tax Provisions was higher in five of the last eight quarters, with growth averaging 4.5%.
- The best year-over-year quarter for Tax Provisions over five years was fiscal Q3 2021 (growth of 104.1%); the worst was fiscal Q4 2024 (a decline of 25.6%).
- Per Business Quant data, BRO's Tax Provisions in the three fiscal quarters before Q2 2026 was $106 million (Q1 2026), $53 million (Q4 2025) and $82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,178.60 Bn | -238.88 Bn | 55.86 Bn | 6.29 Bn |
| 2 | Chubb | 140.37 Bn | 92.42 Bn | 9.13 Bn | 742.00 Mn |
| 3 | Progressive | 133.48 Bn | 109.32 Bn | 9.04 Bn | 898.00 Mn |
| 4 | Marsh & Mclennan Companies | 94.69 Bn | 87.08 Bn | - | 221.00 Mn |
| 5 | Travelers Companies | 84.57 Bn | 60.82 Bn | 6.23 Bn | 559.00 Mn |
| 6 | Manulife Financial | 77.66 Bn | -16.05 Bn | - | - |
| 7 | Arthur J. Gallagher | 69.43 Bn | 63.86 Bn | - | 90.00 Mn |
| 8 | Metlife | 66.04 Bn | -40.44 Bn | 7.82 Bn | 256.00 Mn |
| 9 | Allstate | 65.83 Bn | 27.08 Bn | 8.73 Bn | 871.00 Mn |
| 10 | Brown & Brown | 24.59 Bn | 20.42 Bn | - | 94.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94.00 Mn |
| Mar 31, 2026 | 106.00 Mn |
| Dec 31, 2025 | 53.00 Mn |
| Sep 30, 2025 | 82.00 Mn |
| Jun 30, 2025 | 77.00 Mn |
| Mar 31, 2025 | 93.00 Mn |
| Dec 31, 2024 | 64.00 Mn |
| Sep 30, 2024 | 78.00 Mn |
| Jun 30, 2024 | 87.00 Mn |
| Mar 31, 2024 | 71.00 Mn |
| Dec 31, 2023 | 86.00 Mn |
| Sep 30, 2023 | 66.00 Mn |
| Jun 30, 2023 | 64.00 Mn |
| Mar 31, 2023 | 58.00 Mn |
| Dec 31, 2022 | 48.80 Mn |
| Sep 30, 2022 | 56.90 Mn |
| Jun 30, 2022 | 53.60 Mn |
| Mar 31, 2022 | 44.70 Mn |
| Dec 31, 2021 | 39.10 Mn |
| Sep 30, 2021 | 50.10 Mn |
Brown & Brown Tax Provisions 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=tax-provisions&ticker=BRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=BRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();