Ryan Specialty Holdings (RYAN) EBITDA (2020 - 2026)
Ryan Specialty Holdings (RYAN) recorded EBITDA of $248.84 million in Q2 2026, down 5.6% from $263.61 million a year earlier but up 51.7% from the prior quarter.
Ryan Specialty Holdings (RYAN) EBITDA (2020 - 2026) Analysis & Trends
On a TTM basis, Ryan Specialty Holdings' EBITDA came in at $762.52 million as of Jun 30, 2026, up 4.9% year-over-year; for FY2025, it came in at $781.16 million, up 31.2% from FY2024.
- Annual EBITDA has increased for six straight years, with a five-year compound annual growth rate of 27.6% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $595.44 million in FY2024 (+2.4%), $581.72 million in FY2023 (+15.8%), $502.4 million in FY2022 (+61.7%) and $310.68 million in FY2021 (+34.5%).
- Quarterly EBITDA has ranged from $31.23 million in Q3 2021 to $263.61 million in Q2 2025 over the past five years.
- On a year-over-year basis, EBITDA has declined for three consecutive quarters, with growth averaging 8.0% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 193.0% in Q3 2022, against a decline of 29.5% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $164 million (Q1 2026), $165.1 million (Q4 2025) and $184.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | -31.14 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | - |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 3.42 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 1.45 Bn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 4.52 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | - |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 1.03 Bn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 1.03 Bn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 78.00 Mn |
| 10 | Ryan Specialty Holdings | 11.93 Bn | 11.76 Bn | - | 273.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 273.71 Mn |
| Jun 30, 2026 | 313.22 Mn |
| Mar 31, 2026 | 229.34 Mn |
| Dec 31, 2025 | 234.69 Mn |
| Sep 30, 2025 | 254.77 Mn |
| Jun 30, 2025 | 333.28 Mn |
| Mar 31, 2025 | 232.84 Mn |
| Dec 31, 2024 | 232.55 Mn |
| Sep 30, 2024 | 135.63 Mn |
| Jun 30, 2024 | 227.72 Mn |
| Mar 31, 2024 | 130.71 Mn |
| Dec 31, 2023 | 154.15 Mn |
| Sep 30, 2023 | 174.64 Mn |
| Jun 30, 2023 | 152.43 Mn |
| Mar 31, 2023 | 100.50 Mn |
| Dec 31, 2022 | 200.66 Mn |
| Sep 30, 2022 | 91.51 Mn |
| Jun 30, 2022 | 136.16 Mn |
| Mar 31, 2022 | 74.07 Mn |
| Dec 31, 2021 | 85.06 Mn |
Ryan Specialty Holdings EBITDA 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=ebitda&ticker=RYAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=RYAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();