WhiteHorse Finance (WHF) Accumulated Expenses (2016 - 2026)
WhiteHorse Finance's Accumulated Expenses came in at $2.65 million for Q3 2026, down 46.8% from $4.98 million a year earlier but up 100.3% from the prior quarter.
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Analysis
WhiteHorse Finance (WHF) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, WhiteHorse Finance's Accumulated Expenses was $1.39 million, down 23.6% from FY2024.
- Accumulated Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $1.82 million in FY2024 (-12.0%), $2.07 million in FY2023 (-25.4%), $2.77 million in FY2022 (+32.9%) and $2.09 million in FY2021 (+11.6%).
- The five-year range for quarterly Accumulated Expenses is $1.32 million (Q2 2026) to $4.98 million (Q3 2025).
- Year-over-year, Accumulated Expenses has declined for four consecutive quarters, with an average decline of 14.2% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2022 (growth of 71.4%), and the weakest in Q3 2026 (a decline of 46.8%).
- Business Quant data shows WHF's Accumulated Expenses at $1.32 million (Q2 2026), $2.6 million (Q1 2026) and $1.39 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 5 | Synchrony Financial | 22.47 Bn | -45.15 Bn | - |
| 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 | - |
| 9 | Annaly Capital Management | 13.83 Bn | 4.86 Bn | - |
| 10 | WhiteHorse Finance | 177.40 Mn | 143.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.65 Mn |
| Jun 30, 2026 | 1.32 Mn |
| Mar 31, 2026 | 2.60 Mn |
| Dec 31, 2025 | 1.39 Mn |
| Sep 30, 2025 | 4.98 Mn |
| Jun 30, 2025 | 1.50 Mn |
| Mar 31, 2025 | 3.59 Mn |
| Dec 31, 2024 | 1.82 Mn |
| Sep 30, 2024 | 3.65 Mn |
| Jun 30, 2024 | 1.91 Mn |
| Mar 31, 2024 | 3.86 Mn |
| Dec 31, 2023 | 2.07 Mn |
| Sep 30, 2023 | 3.88 Mn |
| Jun 30, 2023 | 2.75 Mn |
| Mar 31, 2023 | 4.09 Mn |
| Dec 31, 2022 | 2.77 Mn |
| Sep 30, 2022 | 3.77 Mn |
| Jun 30, 2022 | 2.12 Mn |
| Mar 31, 2022 | 3.55 Mn |
| Dec 31, 2021 | 2.09 Mn |
API Access
WhiteHorse Finance Accumulated 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=accumulated-expenses&ticker=WHF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=WHF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();