Brown & Brown (BRO) Depreciation & Amortization - Total (2009 - 2026)
Brown & Brown's Depreciation & Amortization - Total came in at $18 million for fiscal Q2 2026 (quarter ended Jun 30, 2026), up 63.6% from $11 million a year earlier and up 5.9% from the prior quarter.
Brown & Brown (BRO) Depreciation & Amortization - Total (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Brown & Brown reported Depreciation & Amortization - Total of $67 million, up 52.3% year-over-year; for FY2025 (ended Dec 31, 2025), it was $55 million, up 25.0% from FY2024.
- Depreciation & Amortization - Total has increased in each of the last ten fiscal years, with a five-year compound annual growth rate of 15.9% (FY2020 to FY2025).
- Going back by fiscal year, Depreciation & Amortization - Total was $44 million in FY2024 (+10.0%), $40 million in FY2023 (+2.6%), $39 million in FY2022 (+17.1%) and $33.3 million in FY2021 (+26.6%).
- Year-over-year, Depreciation & Amortization - Total has increased for four consecutive quarters, with growth averaging 28.6% over the last eight quarters.
- The fastest year-over-year change in Depreciation & Amortization - Total over five years came in fiscal Q2 2026 (growth of 63.6%), and the weakest in fiscal Q3 2023 (a decline of 11.5%).
- Business Quant data shows BRO's Depreciation & Amortization - Total at $17 million (Q1 2026), $18 million (Q4 2025) and $14 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (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 | - | 49.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 57.00 Mn |
| 10 | Brown & Brown | 20.10 Bn | 15.94 Bn | - | 18.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.00 Mn |
| Mar 31, 2026 | 17.00 Mn |
| Dec 31, 2025 | 18.00 Mn |
| Sep 30, 2025 | 14.00 Mn |
| Jun 30, 2025 | 11.00 Mn |
| Mar 31, 2025 | 11.00 Mn |
| Dec 31, 2024 | 11.00 Mn |
| Sep 30, 2024 | 11.00 Mn |
| Jun 30, 2024 | 11.00 Mn |
| Mar 31, 2024 | 11.00 Mn |
| Dec 31, 2023 | 10.00 Mn |
| Sep 30, 2023 | 10.00 Mn |
| Jun 30, 2023 | 10.00 Mn |
| Mar 31, 2023 | 10.00 Mn |
| Dec 31, 2022 | 10.70 Mn |
| Sep 30, 2022 | 11.30 Mn |
| Jun 30, 2022 | 8.90 Mn |
| Mar 31, 2022 | 8.10 Mn |
| Dec 31, 2021 | 7.90 Mn |
| Sep 30, 2021 | 9.20 Mn |
Brown & Brown Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=BRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=BRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();