Ryan Specialty Holdings (RYAN) Amortization - Intangibles (2020 - 2026)
Ryan Specialty Holdings' Amortization - Intangibles came in at $64.39 million for Q2 2026, down 7.6% from $69.67 million a year earlier and down 1.5% from the prior quarter.
Ryan Specialty Holdings (RYAN) Amortization - Intangibles (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ryan Specialty Holdings reported Amortization - Intangibles of $269.5 million, up 15.2% year-over-year; for FY2025, it came in at $274.43 million, up 73.9% from FY2024.
- Amortization - Intangibles has increased in each of the last three years, with a five-year compound annual growth rate of 34.0% (FY2020 to FY2025).
- Going back by year, Amortization - Intangibles was $157.85 million in FY2024 (+47.8%), $106.8 million in FY2023 (+3.1%), $103.6 million in FY2022 (-4.0%) and $107.88 million in FY2021 (+69.7%).
- The Q2 2026 figure represents the lowest quarterly Amortization - Intangibles since Q4 2024.
- Year-over-year, Amortization - Intangibles increased in seven of the last eight quarters, with growth averaging 62.2%.
- The fastest year-over-year change in Amortization - Intangibles over five years came in Q1 2025 (growth of 132.2%), and the weakest in Q4 2021 (a decline of 10.4%).
- Business Quant data shows RYAN's Amortization - Intangibles at $65.34 million (Q1 2026), $69.59 million (Q4 2025) and $70.19 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - |
| 10 | Ryan Specialty Holdings | 9.45 Bn | 9.33 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.39 Mn |
| Mar 31, 2026 | 65.34 Mn |
| Dec 31, 2025 | 69.59 Mn |
| Sep 30, 2025 | 70.19 Mn |
| Jun 30, 2025 | 69.67 Mn |
| Mar 31, 2025 | 64.99 Mn |
| Dec 31, 2024 | 60.13 Mn |
| Sep 30, 2024 | 39.18 Mn |
| Jun 30, 2024 | 30.54 Mn |
| Mar 31, 2024 | 27.99 Mn |
| Dec 31, 2023 | 27.67 Mn |
| Sep 30, 2023 | 29.57 Mn |
| Jun 30, 2023 | 24.37 Mn |
| Mar 31, 2023 | 25.19 Mn |
| Dec 31, 2022 | 25.04 Mn |
| Sep 30, 2022 | 25.67 Mn |
| Jun 30, 2022 | 26.23 Mn |
| Mar 31, 2022 | 26.66 Mn |
| Dec 31, 2021 | 25.78 Mn |
| Sep 30, 2021 | 26.98 Mn |
Ryan Specialty Holdings Amortization - Intangibles 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=amortization-intangibles&ticker=RYAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=RYAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();