Ryan Specialty Holdings (RYAN) Total Liabilities (2020 - 2026)
Ryan Specialty Holdings (RYAN) posted Total Liabilities of $10.95 billion for Q2 2026, up 16.0% from $9.44 billion a year earlier and up 11.8% from the prior quarter.
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Analysis
Ryan Specialty Holdings (RYAN) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Ryan Specialty Holdings' Total Liabilities came in at $9.31 billion, up 8.9% from FY2024.
- Annual Total Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 15.9% (FY2020 to FY2025).
- In prior years, Ryan Specialty Holdings' Total Liabilities was $8.55 billion in FY2024 (+36.4%), $6.27 billion in FY2023 (+12.6%), $5.57 billion in FY2022 (+14.4%) and $4.86 billion in FY2021 (+9.1%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Liabilities has increased in each of the last 15 quarters, with growth averaging 24.8% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 6.9% (Q1 2023) and 43.8% (Q1 2025) over the last five years.
- According to Business Quant data, Total Liabilities for the three prior quarters was $9.79 billion (Q1 2026), $9.31 billion (Q4 2025) and $8.62 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 | Ryan Specialty Holdings | 9.45 Bn | 9.33 Bn | - | 10.95 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.95 Bn |
| Mar 31, 2026 | 9.79 Bn |
| Dec 31, 2025 | 9.31 Bn |
| Sep 30, 2025 | 8.62 Bn |
| Jun 30, 2025 | 9.44 Bn |
| Mar 31, 2025 | 8.83 Bn |
| Dec 31, 2024 | 8.55 Bn |
| Sep 30, 2024 | 7.38 Bn |
| Jun 30, 2024 | 7.20 Bn |
| Mar 31, 2024 | 6.14 Bn |
| Dec 31, 2023 | 6.27 Bn |
| Sep 30, 2023 | 5.48 Bn |
| Jun 30, 2023 | 6.29 Bn |
| Mar 31, 2023 | 5.20 Bn |
| Dec 31, 2022 | 5.57 Bn |
| Sep 30, 2022 | 4.93 Bn |
| Jun 30, 2022 | 5.74 Bn |
| Mar 31, 2022 | 4.86 Bn |
| Dec 31, 2021 | 4.86 Bn |
| Jun 30, 2021 | 4.83 Bn |
API Access
Ryan Specialty Holdings 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=RYAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "RYAN", "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=RYAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();