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 28.1% (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 (+67.9%) and $299.31 million in FY2021 (+32.4%).
- Quarterly EBITDA has ranged from $27.43 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 14.4% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 222.5% in Q3 2022, against a decline of 35.4% in Q3 2021 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 | 1,178.60 Bn | -238.88 Bn | 55.86 Bn | -26.60 Bn |
| 2 | Chubb | 140.37 Bn | 92.42 Bn | 9.13 Bn | - |
| 3 | Progressive | 133.48 Bn | 109.32 Bn | 9.04 Bn | -10.28 Bn |
| 4 | Marsh & Mclennan Companies | 94.69 Bn | 87.08 Bn | - | 1.45 Bn |
| 5 | Travelers Companies | 84.57 Bn | 60.82 Bn | 6.23 Bn | -1.20 Bn |
| 6 | Manulife Financial | 77.66 Bn | -16.05 Bn | - | - |
| 7 | Arthur J. Gallagher | 69.43 Bn | 63.86 Bn | - | 943.00 Mn |
| 8 | Metlife | 66.04 Bn | -40.44 Bn | 7.82 Bn | - |
| 9 | Allstate | 65.83 Bn | 27.08 Bn | 8.73 Bn | -5.63 Bn |
| 10 | Ryan Specialty Holdings | 11.37 Bn | 11.25 Bn | - | 248.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 248.84 Mn |
| Mar 31, 2026 | 164.00 Mn |
| Dec 31, 2025 | 165.10 Mn |
| Sep 30, 2025 | 184.59 Mn |
| Jun 30, 2025 | 263.61 Mn |
| Mar 31, 2025 | 167.86 Mn |
| Dec 31, 2024 | 172.42 Mn |
| Sep 30, 2024 | 123.13 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 |
| Sep 30, 2021 | 31.23 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();