Ryan Specialty Holdings (RYAN) EBIT (2020 - 2026)
Ryan Specialty Holdings' EBIT came in at $180.32 million for Q2 2026, down 5.6% from $191.05 million a year earlier but up 90.6% from the prior quarter.
Ryan Specialty Holdings (RYAN) EBIT (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ryan Specialty Holdings reported EBIT of $477.27 million, down 1.0% year-over-year; for FY2025, it was $493.64 million, up 15.4% from FY2024.
- EBIT has increased in each of the last six years, with a five-year compound annual growth rate of 25.5% (FY2020 to FY2025).
- Going back by year, EBIT was $427.81 million in FY2024 (+19.1%), $359.08 million in FY2023 (+24.0%), $289.51 million in FY2022 (+55.1%) and $186.62 million in FY2021 (+17.7%).
- The five-year range for quarterly EBIT is -$730,000 (Q3 2021) to $191.05 million (Q2 2025).
- Year-over-year, EBIT has declined for three consecutive quarters, with growth averaging 11.6% over the last eight quarters.
- The fastest year-over-year change in EBIT over five years came in Q1 2023 (growth of 61.5%), and the weakest in Q4 2025 (a decline of 16.2%).
- Business Quant data shows RYAN's EBIT at $94.6 million (Q1 2026), $91.56 million (Q4 2025) and $110.79 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | -30.21 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | -3.07 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | -10.36 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 1.90 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | -3.16 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 1.72 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | -10.30 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 915.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 582.00 Mn |
| 10 | Ryan Specialty Holdings | 9.45 Bn | 9.33 Bn | - | 180.32 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();