Fidus Investment (FDUS) Operating Expenses (2021 - 2026)
Fidus Investment's Operating Expenses was $24.76 million in Q2 2026, up 16.4% from $21.27 million a year earlier and up 8.3% from the prior quarter.
Fidus Investment (FDUS) Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fidus Investment's Operating Expenses was $87.85 million through Jun 30, 2026, up 20.3% year-over-year; for FY2025, it was $79.78 million, up 15.5% from FY2024.
- Operating Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $69.08 million in FY2024 (+8.0%), $63.97 million in FY2023 (+37.6%), $46.48 million in FY2022 (-28.5%) and $64.99 million in FY2021 (+44.3%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q3 2021.
- Compared with a year earlier, Operating Expenses has increased for six straight quarters, with growth averaging 11.3% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2023 (growth of 42.3%); the worst was Q4 2022 (a decline of 35.8%).
- Per Business Quant data, FDUS's Operating Expenses in the three quarters before Q2 2026 was $22.86 million (Q1 2026), $20.74 million (Q4 2025) and $19.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | 2.50 Bn |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 4.66 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | 2.07 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 1.02 Bn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 1.33 Bn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | - |
| 10 | Fidus Investment | 731.38 Mn | 499.77 Mn | - | 24.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.76 Mn |
| Mar 31, 2026 | 22.86 Mn |
| Dec 31, 2025 | 20.74 Mn |
| Sep 30, 2025 | 19.49 Mn |
| Jun 30, 2025 | 21.27 Mn |
| Mar 31, 2025 | 18.27 Mn |
| Dec 31, 2024 | 17.05 Mn |
| Sep 30, 2024 | 16.40 Mn |
| Jun 30, 2024 | 18.58 Mn |
| Mar 31, 2024 | 17.11 Mn |
| Dec 31, 2023 | 18.19 Mn |
| Sep 30, 2023 | 17.59 Mn |
| Jun 30, 2023 | 13.83 Mn |
| Mar 31, 2023 | 14.37 Mn |
| Dec 31, 2022 | 13.65 Mn |
| Sep 30, 2022 | 12.36 Mn |
| Jun 30, 2022 | 10.17 Mn |
| Mar 31, 2022 | 10.30 Mn |
| Dec 31, 2021 | 21.25 Mn |
| Sep 30, 2021 | 16.18 Mn |
Fidus Investment 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=FDUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FDUS", "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=FDUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();