Ryan Specialty Holdings (RYAN) EBIT (2020 - 2026)
Ryan Specialty Holdings' (RYAN) quarterly EBIT came in at $180.3 million in Q2 2026, down 5.62% year-over-year from $191.1 million in Q2 2025, and up 90.62% quarter-over-quarter from $94.6 million in Q1 2026.
Ryan Specialty Holdings (RYAN) EBIT (2020 - 2026) Analysis & Trends
Ryan Specialty Holdings (RYAN) has reported EBIT for 7 consecutive years, with $180.3 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, EBIT fell 5.62% year-over-year to $180.3 million in Q2 2026; TTM through Jun 2026 was $477.3 million, a 1.0% decrease from a year earlier, with the FY2025 full-year figure at $493.6 million, up 15.39% from the prior year.
- EBIT was $180.3 million for Q2 2026 at Ryan Specialty Holdings, up from $94.6 million in the prior quarter.
- Over five years, EBIT peaked at $191.1 million in Q2 2025 and troughed at $43.4 million in Q1 2022.
- A 5-year average of $102.5 million and a median of $95.5 million in 2023 frame the typical range for EBIT.
- Across the five-year window, EBIT soared 8503.29% in 2022 and dropped 16.24% in 2025, its largest moves.
- Over 5 years, EBIT stood at $79.2 million in 2022, then rose by 21.56% to $96.3 million in 2023, then grew by 13.47% to $109.3 million in 2024, then fell by 16.24% to $91.6 million in 2025, then jumped by 96.93% to $180.3 million in 2026.
- The last three EBIT figures came in at $180.3 million (Q2 2026), $94.6 million (Q1 2026), and $91.6 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 83.52 Bn | 71.57 Bn | 6.04 Bn | 1.90 Bn |
| 2 | Aon | 62.69 Bn | 61.45 Bn | - | 915.00 Mn |
| 3 | Arthur J. Gallagher | 61.32 Bn | 59.96 Bn | - | 582.00 Mn |
| 4 | Willis Towers Watson | 28.79 Bn | 27.21 Bn | 2.09 Bn | 364.00 Mn |
| 5 | Brown & Brown | 21.46 Bn | 20.56 Bn | 1.41 Bn | 112.00 Mn |
| 6 | XChange TEC.INC | 12.72 Bn | 12.72 Bn | - | - |
| 7 | Erie Indemnity | 11.04 Bn | 10.70 Bn | - | 204.12 Mn |
| 8 | Ryan Specialty Holdings | 10.28 Bn | 10.64 Bn | - | 180.32 Mn |
| 9 | Hagerty | 4.78 Bn | 4.92 Bn | 244.11 Mn | 11.00 Mn |
| 10 | Baldwin Insurance | 4.45 Bn | 4.80 Bn | - | -8.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 180.32 Mn |
| Mar 31, 2026 | 94.60 Mn |
| Dec 31, 2025 | 91.56 Mn |
| Sep 30, 2025 | 110.79 Mn |
| Jun 30, 2025 | 191.05 Mn |
| Mar 31, 2025 | 100.24 Mn |
| Dec 31, 2024 | 109.32 Mn |
| Sep 30, 2024 | 81.48 Mn |
| Jun 30, 2024 | 164.37 Mn |
| Mar 31, 2024 | 72.65 Mn |
| Dec 31, 2023 | 96.34 Mn |
| Sep 30, 2023 | 69.82 Mn |
| Jun 30, 2023 | 122.84 Mn |
| Mar 31, 2023 | 70.09 Mn |
| Dec 31, 2022 | 79.25 Mn |
| Sep 30, 2022 | 61.34 Mn |
| Jun 30, 2022 | 105.53 Mn |
| Mar 31, 2022 | 43.39 Mn |
| Dec 31, 2021 | 55.25 Mn |
| Sep 30, 2021 | -730,000.00 |
Ryan Specialty Holdings EBIT 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=ebit&ticker=RYAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=RYAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();