Ryan Specialty Holdings (RYAN) Property, Plant & Equipment (Net) (2020 - 2026)
Ryan Specialty Holdings (RYAN) recorded Property, Plant & Equipment (Net) of $64.55 million in Q2 2026, down 2.9% from $66.45 million a year earlier and down 2.4% from the prior quarter.
Ryan Specialty Holdings (RYAN) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Ryan Specialty Holdings reported Property, Plant & Equipment (Net) of $69.46 million, up 38.3% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for four straight years, with a five-year compound annual growth rate of 31.9% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $50.21 million in FY2024 (+18.3%), $42.43 million in FY2023 (+35.7%), $31.27 million in FY2022 (+104.5%) and $15.29 million in FY2021 (-12.2%).
- The Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) since Q1 2025.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in seven of the last eight quarters, with growth averaging 30.7%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 117.3% in Q1 2023, against a decline of 12.2% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $66.14 million (Q1 2026), $69.46 million (Q4 2025) and $69.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.54 Bn | 85.12 Bn | 9.13 Bn | - |
| 2 | Progressive | 132.52 Bn | 108.35 Bn | 9.04 Bn | 922.00 Mn |
| 3 | Marsh & Mclennan Companies | 94.26 Bn | 86.42 Bn | - | 815.00 Mn |
| 4 | Travelers Companies | 84.42 Bn | 60.67 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 75.91 Bn | -18.97 Bn | - | - |
| 6 | Arthur J. Gallagher | 69.11 Bn | 63.52 Bn | - | 765.00 Mn |
| 7 | Allstate | 64.98 Bn | 26.25 Bn | 8.73 Bn | 591.00 Mn |
| 8 | Metlife | 64.85 Bn | -41.93 Bn | 7.82 Bn | - |
| 9 | Aon | 64.80 Bn | 58.01 Bn | - | 761.00 Mn |
| 10 | Ryan Specialty Holdings | 5.49 Bn | 4.87 Bn | - | 64.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.55 Mn |
| Mar 31, 2026 | 66.14 Mn |
| Dec 31, 2025 | 69.46 Mn |
| Sep 30, 2025 | 69.79 Mn |
| Jun 30, 2025 | 66.45 Mn |
| Mar 31, 2025 | 60.40 Mn |
| Dec 31, 2024 | 50.21 Mn |
| Sep 30, 2024 | 45.70 Mn |
| Jun 30, 2024 | 45.53 Mn |
| Mar 31, 2024 | 42.67 Mn |
| Dec 31, 2023 | 42.43 Mn |
| Sep 30, 2023 | 32.21 Mn |
| Jun 30, 2023 | 32.54 Mn |
| Mar 31, 2023 | 31.83 Mn |
| Dec 31, 2022 | 31.27 Mn |
| Sep 30, 2022 | 22.67 Mn |
| Jun 30, 2022 | 16.04 Mn |
| Mar 31, 2022 | 14.65 Mn |
| Dec 31, 2021 | 15.29 Mn |
| Sep 30, 2021 | 15.03 Mn |
Ryan Specialty Holdings Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=RYAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=RYAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();