Oportun Financial (OPRT) Operating Expenses (2018 - 2026)
Oportun Financial's Operating Expenses came in at $90.01 million for Q2 2026, down 4.7% from $94.44 million a year earlier and down 1.4% from the prior quarter.
Oportun Financial (OPRT) Operating Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Oportun Financial reported Operating Expenses of $355.99 million, down 6.0% year-over-year; for FY2025, it was $361.76 million, down 11.8% from FY2024.
- Operating Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $410.38 million in FY2024 (-23.2%), $534.32 million in FY2023 (-25.4%), $715.94 million in FY2022 (+53.1%) and $467.69 million in FY2021 (+19.0%).
- The five-year range for quarterly Operating Expenses is $83.84 million (Q4 2025) to $259.35 million (Q3 2022).
- Year-over-year, Operating Expenses has declined for 14 consecutive quarters, with an average decline of 12.5% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2022 (growth of 132.8%), and the weakest in Q3 2023 (a decline of 52.8%).
- Business Quant data shows OPRT's Operating Expenses at $91.33 million (Q1 2026), $83.84 million (Q4 2025) and $90.81 million (Q3 2025) in the three quarters before Q2 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 | Oportun Financial | 563.88 Mn | 7.21 Mn | - | 91.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 91.98 Mn |
| Jun 30, 2026 | 90.01 Mn |
| Mar 31, 2026 | 91.33 Mn |
| Dec 31, 2025 | 83.84 Mn |
| Sep 30, 2025 | 90.81 Mn |
| Jun 30, 2025 | 94.44 Mn |
| Mar 31, 2025 | 92.67 Mn |
| Dec 31, 2024 | 89.48 Mn |
| Sep 30, 2024 | 102.08 Mn |
| Jun 30, 2024 | 109.18 Mn |
| Mar 31, 2024 | 109.64 Mn |
| Dec 31, 2023 | 129.38 Mn |
| Sep 30, 2023 | 122.51 Mn |
| Jun 30, 2023 | 136.10 Mn |
| Mar 31, 2023 | 146.34 Mn |
| Dec 31, 2022 | 151.37 Mn |
| Sep 30, 2022 | 259.35 Mn |
| Jun 30, 2022 | 157.89 Mn |
| Mar 31, 2022 | 147.34 Mn |
| Dec 31, 2021 | 139.64 Mn |
Oportun Financial 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=OPRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OPRT", "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=OPRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();