WhiteHorse Finance (WHF) Operating Expenses (2021 - 2026)
WhiteHorse Finance (WHF) reported Operating Expenses of $9.65 million for Q2 2026, down 20.2% from $12.09 million a year earlier and down 4.8% from the prior quarter.
Powered by 
Analysis
WhiteHorse Finance (WHF) Operating Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, WhiteHorse Finance's Operating Expenses came in at $41.74 million, down 16.7% year-over-year; for FY2025, it was $45.9 million, down 15.7% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 73.6% (FY2020 to FY2025).
- By year, Operating Expenses came in at $54.46 million in FY2024 (-8.6%), $59.58 million in FY2023 (+21.0%), $49.25 million in FY2022 and $3.57 million in FY2021 (+22.8%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q4 2023.
- Year over year, Operating Expenses has now declined in each of the last six quarters, with an average decline of 16.3% over the last six quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2023 (growth of 19.0%); the low point was Q4 2023 (a decline of 21.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $10.13 million (Q1 2026), $10.55 million (Q4 2025) and $11.4 million (Q3 2025).
Peer Set
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 | WhiteHorse Finance | 150.12 Mn | 113.30 Mn | - | 9.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.65 Mn |
| Mar 31, 2026 | 10.13 Mn |
| Dec 31, 2025 | 10.55 Mn |
| Sep 30, 2025 | 11.40 Mn |
| Jun 30, 2025 | 12.09 Mn |
| Mar 31, 2025 | 11.85 Mn |
| Dec 31, 2024 | 12.76 Mn |
| Sep 30, 2024 | 13.40 Mn |
| Jun 30, 2024 | 13.92 Mn |
| Mar 31, 2024 | 14.37 Mn |
| Dec 31, 2023 | 825,000.00 |
| Sep 30, 2023 | 774,000.00 |
| Jun 30, 2023 | 896,000.00 |
| Mar 31, 2023 | 1.13 Mn |
| Dec 31, 2022 | 1.04 Mn |
| Sep 30, 2022 | 884,000.00 |
| Jun 30, 2022 | 1.09 Mn |
| Mar 31, 2022 | 947,000.00 |
| Dec 31, 2021 | 980,000.00 |
| Sep 30, 2021 | 896,000.00 |
API Access
WhiteHorse Finance 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=WHF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WHF", "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=WHF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();