Ready Capital (RC) Operating Expenses (2012 - 2026)
Ready Capital's Operating Expenses was $77.57 million in Q2 2026, up 10.4% from $70.28 million a year earlier but down 6.2% from the prior quarter.
Ready Capital (RC) Operating Expenses (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ready Capital's Operating Expenses was $334.69 million through Jun 30, 2026, up 4.7% year-over-year; for FY2025, it came in at $317.27 million, down 1.6% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $322.51 million in FY2024 (+18.5%), $272.17 million in FY2023 (+25.8%), $216.34 million in FY2022 (+17.8%) and $183.61 million in FY2021 (-44.1%).
- Quarterly Operating Expenses has moved between -$59.24 million (Q4 2021) and $106.89 million (Q4 2024) over five years.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 7.7%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2023 (growth of 416.1%); the worst was Q2 2022 (a decline of 26.7%).
- Per Business Quant data, RC's Operating Expenses in the three quarters before Q2 2026 was $82.73 million (Q1 2026), $100.05 million (Q4 2025) and $74.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.90 Bn | 29.58 Bn | - | 2.50 Bn |
| 2 | Orix | 42.96 Bn | 43.46 Bn | - | 4.66 Bn |
| 3 | Royalty Pharma | 33.48 Bn | 33.39 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 23.94 Bn | 23.94 Bn | - | 2.07 Bn |
| 5 | Affirm Holdings | 23.37 Bn | 17.06 Bn | - | 1.02 Bn |
| 6 | Synchrony Financial | 23.31 Bn | -44.66 Bn | - | 1.33 Bn |
| 7 | Royal Gold | 20.23 Bn | 19.45 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 15.24 Bn | 6.34 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.90 Bn | 11.34 Bn | - | - |
| 10 | Ready Capital | 206.51 Mn | -473.41 Mn | - | 77.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.57 Mn |
| Mar 31, 2026 | 82.73 Mn |
| Dec 31, 2025 | 100.05 Mn |
| Sep 30, 2025 | 74.34 Mn |
| Jun 30, 2025 | 70.28 Mn |
| Mar 31, 2025 | 72.60 Mn |
| Dec 31, 2024 | 106.89 Mn |
| Sep 30, 2024 | 69.93 Mn |
| Jun 30, 2024 | 67.44 Mn |
| Mar 31, 2024 | 78.26 Mn |
| Dec 31, 2023 | 79.91 Mn |
| Sep 30, 2023 | 65.51 Mn |
| Jun 30, 2023 | 70.70 Mn |
| Mar 31, 2023 | 56.05 Mn |
| Dec 31, 2022 | 15.48 Mn |
| Sep 30, 2022 | 74.60 Mn |
| Jun 30, 2022 | 58.72 Mn |
| Mar 31, 2022 | 67.54 Mn |
| Dec 31, 2021 | -59.24 Mn |
| Sep 30, 2021 | 88.82 Mn |
Ready Capital Operating Expenses 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=operating-expenses&ticker=RC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=RC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();