Ryan Specialty Holdings (RYAN) Depreciation and Depletion (2020 - 2026)
Ryan Specialty Holdings (RYAN) reported Depreciation and Depletion of $4.13 million for Q2 2026, up 43.1% from $2.89 million a year earlier and up 1.7% from the prior quarter.
Ryan Specialty Holdings (RYAN) Depreciation and Depletion (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ryan Specialty Holdings' Depreciation and Depletion came in at $15.76 million, up 43.8% year-over-year; for FY2025, it came in at $13.09 million, up 33.8% from FY2024.
- Depreciation and Depletion has increased for five consecutive years, with a five-year compound annual growth rate of 27.2% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $9.79 million in FY2024 (+8.3%), $9.04 million in FY2023 (+58.8%), $5.69 million in FY2022 (+18.4%) and $4.81 million in FY2021 (+22.2%).
- The Q2 2026 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q2 2020.
- Year over year, Depreciation and Depletion has now increased in each of the last nine quarters, with growth averaging 32.8% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q1 2023 (growth of 81.0%); the low point was Q4 2021 (a decline of 5.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.06 million (Q1 2026), $3.96 million (Q4 2025) and $3.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 82.00 Mn |
| 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 | - | 49.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 57.00 Mn |
| 10 | Ryan Specialty Holdings | 9.45 Bn | 9.33 Bn | - | 4.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.13 Mn |
| Mar 31, 2026 | 4.06 Mn |
| Dec 31, 2025 | 3.96 Mn |
| Sep 30, 2025 | 3.61 Mn |
| Jun 30, 2025 | 2.89 Mn |
| Mar 31, 2025 | 2.64 Mn |
| Dec 31, 2024 | 2.97 Mn |
| Sep 30, 2024 | 2.47 Mn |
| Jun 30, 2024 | 2.27 Mn |
| Mar 31, 2024 | 2.08 Mn |
| Dec 31, 2023 | 2.47 Mn |
| Sep 30, 2023 | 2.20 Mn |
| Jun 30, 2023 | 2.18 Mn |
| Mar 31, 2023 | 2.19 Mn |
| Dec 31, 2022 | 1.79 Mn |
| Sep 30, 2022 | 1.46 Mn |
| Jun 30, 2022 | 1.23 Mn |
| Mar 31, 2022 | 1.21 Mn |
| Dec 31, 2021 | 1.21 Mn |
| Sep 30, 2021 | 1.18 Mn |
Ryan Specialty Holdings Depreciation and Depletion 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=depreciation-and-depletion&ticker=RYAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=RYAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();