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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | -34.72 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 3.61 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 3.32 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 1.22 Bn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 2.49 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 687.19 Mn |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 683.00 Mn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 809.00 Mn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | -3.00 Mn |
| 10 | Ryan Specialty Holdings | 11.93 Bn | 11.76 Bn | - | 140.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 140.83 Mn |
| 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 |
API Access
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_KEYimport 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();