Ryan Specialty Holdings (RYAN) Tax Provisions (2020 - 2026)
Ryan Specialty Holdings' Tax Provisions came in at $8.14 million for Q3 2026, compared with -$2.8 million a year earlier and down 63.6% from the prior quarter.
Ryan Specialty Holdings (RYAN) Tax Provisions (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Ryan Specialty Holdings reported Tax Provisions of $50.37 million, down 45.3% year-over-year; for FY2025, it was $79.03 million, up 85.3% from FY2024.
- Tax Provisions carries a five-year compound annual growth rate of 54.6% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $42.64 million in FY2024 (-1.9%), $43.45 million in FY2023 (+172.6%), $15.94 million in FY2022 (+223.1%) and $4.93 million in FY2021 (-44.9%).
- The five-year range for quarterly Tax Provisions is -$8.96 million (Q3 2024) to $55.43 million (Q1 2025).
- Year-over-year, Tax Provisions increased in two of the last five quarters, with growth averaging 133.2%.
- The fastest year-over-year change in Tax Provisions over five years came in Q1 2025 (growth of 762.6%), and the weakest in Q4 2023 (a decline of 88.5%).
- Business Quant data shows RYAN's Tax Provisions at $22.35 million (Q2 2026), $6.51 million (Q1 2026) and $13.37 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | 4.96 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 666.00 Mn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 694.00 Mn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 221.00 Mn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 452.00 Mn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | - |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 109.00 Mn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 126.00 Mn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 537.00 Mn |
| 10 | Ryan Specialty Holdings | 11.93 Bn | 11.76 Bn | - | 8.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.14 Mn |
| Jun 30, 2026 | 22.35 Mn |
| Mar 31, 2026 | 6.51 Mn |
| Dec 31, 2025 | 13.37 Mn |
| Sep 30, 2025 | -2.80 Mn |
| Jun 30, 2025 | 13.03 Mn |
| Mar 31, 2025 | 55.43 Mn |
| Dec 31, 2024 | 26.49 Mn |
| Sep 30, 2024 | -8.96 Mn |
| Jun 30, 2024 | 18.69 Mn |
| Mar 31, 2024 | 6.43 Mn |
| Dec 31, 2023 | 673,000.00 |
| Sep 30, 2023 | 24.83 Mn |
| Jun 30, 2023 | 11.65 Mn |
| Mar 31, 2023 | 6.30 Mn |
| Dec 31, 2022 | 5.86 Mn |
| Sep 30, 2022 | 3.41 Mn |
| Jun 30, 2022 | 11.17 Mn |
| Mar 31, 2022 | -4.50 Mn |
| Dec 31, 2021 | 5.73 Mn |
Ryan Specialty Holdings Tax Provisions 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=tax-provisions&ticker=RYAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=RYAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();