Ryan Specialty Holdings (RYAN) Revenue (2020 - 2026)
Ryan Specialty Holdings (RYAN) reported Revenue of $916.65 million for Q2 2026, up 7.2% from $855.17 million a year earlier and up 15.3% from the prior quarter.
Ryan Specialty Holdings (RYAN) Revenue (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ryan Specialty Holdings' Revenue came in at $3.22 billion, up 14.4% year-over-year; for FY2025, it was $3.05 billion, up 21.3% from FY2024.
- Revenue has increased for six consecutive years, with a five-year compound annual growth rate of 24.5% (FY2020 to FY2025).
- By year, Revenue came in at $2.52 billion in FY2024 (+21.1%), $2.08 billion in FY2023 (+20.4%), $1.73 billion in FY2022 (+20.4%) and $1.43 billion in FY2021 (+40.7%).
- The Q2 2026 figure ranks as the highest quarterly Revenue in data going back to Q2 2020.
- Year over year, Revenue has now increased in each of the last 21 quarters, with growth averaging 19.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 7.2% (Q2 2026) to 49.0% (Q3 2021).
- Per Business Quant data, the three quarters before Q2 2026 came in at $795.23 million (Q1 2026), $751.21 million (Q4 2025) and $754.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 101.81 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 15.82 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 23.61 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 7.40 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 12.15 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 14.50 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 19.15 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 4.25 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 4.00 Bn |
| 10 | Ryan Specialty Holdings | 9.45 Bn | 9.33 Bn | - | 916.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 916.65 Mn |
| Mar 31, 2026 | 795.23 Mn |
| Dec 31, 2025 | 751.21 Mn |
| Sep 30, 2025 | 754.58 Mn |
| Jun 30, 2025 | 855.17 Mn |
| Mar 31, 2025 | 690.17 Mn |
| Dec 31, 2024 | 663.53 Mn |
| Sep 30, 2024 | 604.69 Mn |
| Jun 30, 2024 | 695.44 Mn |
| Mar 31, 2024 | 552.05 Mn |
| Dec 31, 2023 | 532.86 Mn |
| Sep 30, 2023 | 501.94 Mn |
| Jun 30, 2023 | 585.15 Mn |
| Mar 31, 2023 | 457.60 Mn |
| Dec 31, 2022 | 435.02 Mn |
| Sep 30, 2022 | 412.00 Mn |
| Jun 30, 2022 | 491.29 Mn |
| Mar 31, 2022 | 386.89 Mn |
| Dec 31, 2021 | 378.54 Mn |
| Sep 30, 2021 | 352.77 Mn |
Ryan Specialty Holdings Revenue 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=revenue&ticker=RYAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=RYAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();