Ryan Specialty Holdings (RYAN) Long-Term Debt Repayments (2020 - 2026)
Ryan Specialty Holdings (RYAN) reported Long-Term Debt Repayments of $331.51 million for Q2 2026, down 3.3% from $342.79 million a year earlier but up 18.7% from the prior quarter.
Ryan Specialty Holdings (RYAN) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ryan Specialty Holdings' Long-Term Debt Repayments came in at $1.38 billion, down 20.4% year-over-year; for FY2025, it came in at $1.26 billion, up 1.0% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $1.25 billion in FY2024, $16.5 million in FY2023 (unchanged), $16.5 million in FY2022 (unchanged) and $16.5 million in FY2021 (-97.8%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $4.13 million in Q3 2021 and a high of $841.75 million in Q3 2024.
- Year over year, Long-Term Debt Repayments gained in 1 of the last four quarters, with growth averaging 2.5%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q2 2024 (growth of 100.0%); the low point was Q3 2021 (a decline of 98.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $279.38 million (Q1 2026), $271.07 million (Q4 2025) and $498.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.65 Bn | 87.23 Bn | 9.13 Bn | 1.50 Bn |
| 2 | Progressive | 133.70 Bn | 109.53 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 94.75 Bn | 86.91 Bn | - | 637.00 Mn |
| 4 | Travelers Companies | 85.38 Bn | 61.63 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 77.63 Bn | -17.25 Bn | - | - |
| 6 | Arthur J. Gallagher | 69.27 Bn | 63.67 Bn | - | - |
| 7 | Metlife | 66.42 Bn | -40.36 Bn | 7.82 Bn | 230.00 Mn |
| 8 | Allstate | 66.13 Bn | 27.40 Bn | 8.73 Bn | - |
| 9 | Aon | 65.25 Bn | 58.47 Bn | - | - |
| 10 | Ryan Specialty Holdings | 5.57 Bn | 4.94 Bn | - | 335.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 335.76 Mn |
| Mar 31, 2026 | 283.63 Mn |
| Dec 31, 2025 | 275.32 Mn |
| Sep 30, 2025 | 502.32 Mn |
| Jun 30, 2025 | 347.04 Mn |
| Mar 31, 2025 | 154.25 Mn |
| Dec 31, 2024 | 400.00 Mn |
| Sep 30, 2024 | 850.00 Mn |
| Jun 30, 2024 | 8.25 Mn |
| Dec 31, 2023 | 4.13 Mn |
| Sep 30, 2023 | 4.13 Mn |
| Jun 30, 2023 | 4.13 Mn |
| Mar 31, 2023 | 4.13 Mn |
| Dec 31, 2022 | 4.13 Mn |
| Sep 30, 2022 | 4.13 Mn |
| Jun 30, 2022 | 4.13 Mn |
| Mar 31, 2022 | 4.13 Mn |
| Dec 31, 2021 | 4.13 Mn |
| Sep 30, 2021 | 5.23 Mn |
| Jun 30, 2021 | 8.25 Mn |
Ryan Specialty Holdings Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=RYAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=RYAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();