Ryan Specialty Holdings (RYAN) Net Income (2020 - 2026)
Ryan Specialty Holdings (RYAN) recorded Net Income of $108.38 million in Q2 2026, down 13.1% from $124.71 million a year earlier but up 167.0% from the prior quarter.
Ryan Specialty Holdings (RYAN) Net Income (2020 - 2026) Analysis & Trends
On a TTM basis, Ryan Specialty Holdings' Net Income came in at $242.82 million as of Jun 30, 2026, up 26.8% year-over-year; for FY2025, it was $214.16 million, down 6.9% from FY2024.
- Annual Net Income has a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- Across earlier years, Net Income came in at $229.91 million in FY2024 (+18.2%), $194.48 million in FY2023 (+19.1%), $163.26 million in FY2022 (+188.3%) and $56.63 million in FY2021 (-19.7%).
- Quarterly Net Income has ranged from -$32.59 million in Q3 2021 to $124.71 million in Q2 2025 over the past five years.
- On a year-over-year basis, Net Income rose in three of the last six quarters, with growth averaging 23.3%.
- Peak year-over-year performance for Net Income in the last five years was growth of 118.6% in Q3 2025, against a decline of 46.4% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $40.6 million (Q1 2026), $31.24 million (Q4 2025) and $62.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 25.77 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 2.88 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 3.31 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 1.29 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 2.21 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 1.68 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 779.00 Mn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 565.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 324.00 Mn |
| 10 | Ryan Specialty Holdings | 9.45 Bn | 9.33 Bn | - | 108.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 108.38 Mn |
| Mar 31, 2026 | 40.60 Mn |
| Dec 31, 2025 | 31.24 Mn |
| Sep 30, 2025 | 62.60 Mn |
| Jun 30, 2025 | 124.71 Mn |
| Mar 31, 2025 | -4.39 Mn |
| Dec 31, 2024 | 42.56 Mn |
| Sep 30, 2024 | 28.64 Mn |
| Jun 30, 2024 | 118.04 Mn |
| Mar 31, 2024 | 40.68 Mn |
| Dec 31, 2023 | 58.50 Mn |
| Sep 30, 2023 | 15.70 Mn |
| Jun 30, 2023 | 83.82 Mn |
| Mar 31, 2023 | 36.46 Mn |
| Dec 31, 2022 | 45.78 Mn |
| Sep 30, 2022 | 29.28 Mn |
| Jun 30, 2022 | 70.12 Mn |
| Mar 31, 2022 | 18.08 Mn |
| Dec 31, 2021 | 29.62 Mn |
| Sep 30, 2021 | -32.59 Mn |
Ryan Specialty Holdings Net Income 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=net-income&ticker=RYAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=RYAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();