Ryan Specialty Holdings (RYAN) Receivables (2020 - 2026)
Ryan Specialty Holdings (RYAN) posted Receivables of $720.72 million for Q2 2026, up 29.9% from $554.99 million a year earlier and up 21.3% from the prior quarter.
Ryan Specialty Holdings (RYAN) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, Ryan Specialty Holdings' Receivables came in at $526.44 million, up 27.2% from FY2024.
- Annual Receivables has increased for five consecutive years, with a five-year compound annual growth rate of 23.8% (FY2020 to FY2025).
- In prior years, Ryan Specialty Holdings' Receivables was $413.96 million in FY2024 (+31.5%), $314.76 million in FY2023 (+24.9%), $251.99 million in FY2022 (+17.5%) and $214.5 million in FY2021 (+18.7%).
- The Q2 2026 figure stands as the highest quarterly Receivables in data going back to Q4 2020.
- On a year-over-year basis, Receivables has increased in each of the last ten quarters, with growth averaging 33.7% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q1 2025, with growth of 43.4%; the weakest was Q4 2022, with a decline of 89.5%.
- According to Business Quant data, Receivables for the three prior quarters was $594.08 million (Q1 2026), $526.44 million (Q4 2025) and $479.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 54.42 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 19.07 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 17.11 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 8.94 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 12.38 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 50.64 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 5.66 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 8.76 Bn |
| 10 | Ryan Specialty Holdings | 9.45 Bn | 9.33 Bn | - | 720.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 720.72 Mn |
| Mar 31, 2026 | 594.08 Mn |
| Dec 31, 2025 | 526.44 Mn |
| Sep 30, 2025 | 479.65 Mn |
| Jun 30, 2025 | 554.99 Mn |
| Mar 31, 2025 | 457.21 Mn |
| Dec 31, 2024 | 413.96 Mn |
| Sep 30, 2024 | 354.79 Mn |
| Jun 30, 2024 | 405.39 Mn |
| Mar 31, 2024 | 318.74 Mn |
| Dec 31, 2023 | 314.76 Mn |
| Sep 30, 2023 | 261.39 Mn |
| Jun 30, 2023 | 339.80 Mn |
| Mar 31, 2023 | 265.80 Mn |
| Dec 31, 2022 | 22.56 Mn |
| Sep 30, 2022 | 192.04 Mn |
| Jun 30, 2022 | 248.39 Mn |
| Mar 31, 2022 | 192.18 Mn |
| Dec 31, 2021 | 214.50 Mn |
| Sep 30, 2021 | 175.10 Mn |
Ryan Specialty Holdings Receivables 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=receivables&ticker=RYAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=RYAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();