Ryan Specialty Holdings (RYAN) Intangibles (2020 - 2026)
Ryan Specialty Holdings' Intangibles came in at $127.13 million for Q2 2026, up 25.0% from $101.73 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Ryan Specialty Holdings (RYAN) Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2025, Ryan Specialty Holdings' Intangibles was $119.62 million, up 43.0% from FY2024.
- Intangibles has increased in each of the last three years, though with a five-year compound annual growth rate of -27.7% (FY2020 to FY2025).
- Going back by year, Intangibles was $83.67 million in FY2024 (+118.7%), $38.25 million in FY2023 (+30.5%), $29.31 million in FY2022 (-94.9%) and $573.93 million in FY2021 (-5.1%).
- The Q2 2026 figure represents the highest quarterly Intangibles since Q3 2023.
- Year-over-year, Intangibles has increased for seven consecutive quarters, with growth averaging 49.1% over the last eight quarters.
- The fastest year-over-year change in Intangibles over five years came in Q4 2024 (growth of 118.7%), and the weakest in Q4 2022 (a decline of 94.9%).
- Business Quant data shows RYAN's Intangibles at $127.05 million (Q1 2026), $119.62 million (Q4 2025) and $110.98 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 19.00 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 6.15 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 4.51 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 325.00 Mn |
| 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 | - | 5.66 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 10.21 Bn |
| 10 | Ryan Specialty Holdings | 9.45 Bn | 9.33 Bn | - | 127.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127.13 Mn |
| Mar 31, 2026 | 127.05 Mn |
| Dec 31, 2025 | 119.62 Mn |
| Sep 30, 2025 | 110.98 Mn |
| Jun 30, 2025 | 101.73 Mn |
| Mar 31, 2025 | 97.99 Mn |
| Dec 31, 2024 | 83.67 Mn |
| Sep 30, 2024 | 69.17 Mn |
| Jun 30, 2024 | 54.47 Mn |
| Mar 31, 2024 | 45.04 Mn |
| Dec 31, 2023 | 38.25 Mn |
| Sep 30, 2023 | 591.88 Mn |
| Jun 30, 2023 | 493.86 Mn |
| Mar 31, 2023 | 514.57 Mn |
| Dec 31, 2022 | 29.31 Mn |
| Sep 30, 2022 | 501.25 Mn |
| Jun 30, 2022 | 524.81 Mn |
| Mar 31, 2022 | 549.13 Mn |
| Dec 31, 2021 | 573.93 Mn |
| Sep 30, 2021 | 527.80 Mn |
API Access
Ryan Specialty Holdings 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=intangibles&ticker=RYAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=RYAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();