Consumer Portfolio Services (CPSS) Operating Expenses (2010 - 2026)
Consumer Portfolio Services' Operating Expenses came in at $121.83 million for Q3 2026, up 20.2% from $101.39 million a year earlier and up 8.4% from the prior quarter.
Consumer Portfolio Services (CPSS) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Consumer Portfolio Services reported Operating Expenses of $440.69 million, up 9.6% year-over-year; for FY2025, it was $406.47 million, up 11.0% from FY2024.
- Operating Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $366.08 million in FY2024 (+25.8%), $290.92 million in FY2023 (+36.3%), $213.52 million in FY2022 (+5.7%) and $202.07 million in FY2021 (-19.5%).
- The Q3 2026 figure represents the highest quarterly Operating Expenses in data going back to Q2 2010.
- Year-over-year, Operating Expenses has increased for 17 consecutive quarters, with growth averaging 12.3% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2022 (growth of 43.9%), and the weakest in Q4 2021 (a decline of 19.6%).
- Business Quant data shows CPSS's Operating Expenses at $112.35 million (Q2 2026), $104.31 million (Q1 2026) and $102.19 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 40.96 Bn | 29.78 Bn | - | 2.33 Bn |
| 2 | Orix | 36.82 Bn | 3.63 Bn | - | - |
| 3 | Royalty Pharma | 30.51 Bn | 27.88 Bn | - | 279.27 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.64 Bn | 26.64 Bn | - | 2.12 Bn |
| 5 | Royal Gold | 23.60 Bn | 22.77 Bn | 390.45 Mn | 173.18 Mn |
| 6 | Synchrony Financial | 23.18 Bn | -44.45 Bn | - | 1.37 Bn |
| 7 | Affirm Holdings | 23.17 Bn | 16.22 Bn | - | 1.08 Bn |
| 8 | Annaly Capital Management | 14.38 Bn | 5.33 Bn | - | 53.21 Mn |
| 9 | Ares Capital | 13.91 Bn | 11.66 Bn | - | 429.00 Mn |
| 10 | Consumer Portfolio Services | 225.01 Mn | 199.10 Mn | - | 121.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 121.83 Mn |
| Jun 30, 2026 | 112.35 Mn |
| Mar 31, 2026 | 104.31 Mn |
| Dec 31, 2025 | 102.19 Mn |
| Sep 30, 2025 | 101.39 Mn |
| Jun 30, 2025 | 102.81 Mn |
| Mar 31, 2025 | 100.07 Mn |
| Dec 31, 2024 | 97.95 Mn |
| Sep 30, 2024 | 93.73 Mn |
| Jun 30, 2024 | 89.21 Mn |
| Mar 31, 2024 | 85.19 Mn |
| Dec 31, 2023 | 82.13 Mn |
| Sep 30, 2023 | 77.86 Mn |
| Jun 30, 2023 | 66.25 Mn |
| Mar 31, 2023 | 64.67 Mn |
| Dec 31, 2022 | 64.72 Mn |
| Sep 30, 2022 | 55.96 Mn |
| Jun 30, 2022 | 47.80 Mn |
| Mar 31, 2022 | 45.04 Mn |
| Dec 31, 2021 | 44.99 Mn |
Consumer Portfolio Services 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=CPSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CPSS", "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=CPSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();