Ready Capital (RC) Professional Fees (2012 - 2026)
Ready Capital (RC) recorded Professional Fees of $5.63 million in Q3 2026, down 6.3% from $6.01 million a year earlier and down 26.6% from the prior quarter.
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Analysis
Ready Capital (RC) Professional Fees (2012 - 2026) Analysis & Trends
On a TTM basis, Ready Capital's Professional Fees came in at $32.93 million as of Sep 30, 2026, up 29.5% year-over-year; for FY2025, it was $30.84 million, up 14.7% from FY2024.
- Annual Professional Fees has a five-year compound annual growth rate of 18.2% (FY2020 to FY2025).
- Across earlier years, Professional Fees came in at $26.89 million in FY2024 (-22.6%), $34.74 million in FY2023 (+100.8%), $17.3 million in FY2022 (+29.2%) and $13.39 million in FY2021 (+0.2%).
- The Q3 2026 figure is the lowest quarterly Professional Fees since Q1 2025.
- On a year-over-year basis, Professional Fees rose in four of the last eight quarters, with growth averaging 4.2%.
- Peak year-over-year performance for Professional Fees in the last five years was growth of 603.5% in Q4 2022, against a decline of 86.6% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.67 million (Q2 2026), $6.66 million (Q1 2026) and $12.97 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Royalty Pharma | 39.80 Bn | 40.13 Bn | - | - |
| 2 | Rocket Companies | 38.90 Bn | 27.72 Bn | - | - |
| 3 | Orix | 38.66 Bn | 9.30 Bn | 13.83 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 26.46 Bn | -16,107.65 Bn | - | 300.00 Mn |
| 5 | Synchrony Financial | 22.47 Bn | -45.15 Bn | - | 234.00 Mn |
| 6 | Affirm Holdings | 22.07 Bn | 15.11 Bn | - | - |
| 7 | Royal Gold | 21.71 Bn | 20.92 Bn | 402.46 Mn | - |
| 8 | Ares Capital | 13.84 Bn | 11.59 Bn | - | -200,000.00 |
| 9 | Annaly Capital Management | 13.83 Bn | 4.86 Bn | - | - |
| 10 | Ready Capital | 135.44 Mn | -449.48 Mn | - | 5.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.63 Mn |
| Jun 30, 2026 | 7.67 Mn |
| Mar 31, 2026 | 6.66 Mn |
| Dec 31, 2025 | 12.97 Mn |
| Sep 30, 2025 | 6.01 Mn |
| Jun 30, 2025 | 6.37 Mn |
| Mar 31, 2025 | 5.49 Mn |
| Dec 31, 2024 | 7.56 Mn |
| Sep 30, 2024 | 6.23 Mn |
| Jun 30, 2024 | 6.03 Mn |
| Mar 31, 2024 | 7.07 Mn |
| Dec 31, 2023 | 16.00 Mn |
| Sep 30, 2023 | 7.67 Mn |
| Jun 30, 2023 | 5.53 Mn |
| Mar 31, 2023 | 5.54 Mn |
| Dec 31, 2022 | 4.46 Mn |
| Sep 30, 2022 | 3.87 Mn |
| Jun 30, 2022 | 3.85 Mn |
| Mar 31, 2022 | 5.13 Mn |
| Dec 31, 2021 | 634,000.00 |
API Access
Ready Capital Professional Fees 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=professional-fees&ticker=RC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=RC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();