Brown & Brown (BRO) Total Liabilities (2009 - 2026)
Brown & Brown's Total Liabilities was $17.28 billion in fiscal Q2 2026 (quarter ended Jun 30, 2026), up 23.3% from $14.02 billion a year earlier and up 1.1% from the prior quarter.
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Analysis
Brown & Brown (BRO) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Dec 31, 2025), Total Liabilities at Brown & Brown came in at $17.42 billion, up 55.9% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 27.3% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $11.18 billion in FY2024 (+20.1%), $9.3 billion in FY2023 (-0.7%), $9.37 billion in FY2022 (+67.3%) and $5.6 billion in FY2021 (+7.4%).
- Quarterly Total Liabilities has moved between $5.52 billion (fiscal Q3 2021) and $17.42 billion (fiscal Q4 2025) over five years.
- Compared with a year earlier, Total Liabilities has increased for ten straight quarters, with growth averaging 37.8% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q1 2026 (growth of 72.3%); the worst was fiscal Q3 2023 (a decline of 6.0%).
- Per Business Quant data, BRO's Total Liabilities in the three fiscal quarters before Q2 2026 was $17.09 billion (Q1 2026), $17.42 billion (Q4 2025) and $16.95 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 512.89 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 200.48 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 90.59 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 44.25 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 110.46 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 751.17 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 43.66 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 58.06 Bn |
| 10 | Brown & Brown | 20.10 Bn | 15.94 Bn | - | 17.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.28 Bn |
| Mar 31, 2026 | 17.09 Bn |
| Dec 31, 2025 | 17.42 Bn |
| Sep 30, 2025 | 16.95 Bn |
| Jun 30, 2025 | 14.02 Bn |
| Mar 31, 2025 | 9.92 Bn |
| Dec 31, 2024 | 11.18 Bn |
| Sep 30, 2024 | 11.05 Bn |
| Jun 30, 2024 | 9.91 Bn |
| Mar 31, 2024 | 9.02 Bn |
| Dec 31, 2023 | 9.30 Bn |
| Sep 30, 2023 | 8.78 Bn |
| Jun 30, 2023 | 9.00 Bn |
| Mar 31, 2023 | 8.56 Bn |
| Dec 31, 2022 | 9.37 Bn |
| Sep 30, 2022 | 9.35 Bn |
| Jun 30, 2022 | 8.00 Bn |
| Mar 31, 2022 | 6.94 Bn |
| Dec 31, 2021 | 5.60 Bn |
| Sep 30, 2021 | 5.52 Bn |
API Access
Brown & Brown Total Liabilities 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=total-liabilities&ticker=BRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();