WhiteHorse Finance (WHF) Total Liabilities (2021 - 2026)
WhiteHorse Finance's Total Liabilities was $351.27 million in Q2 2026, down 11.3% from $396.16 million a year earlier and down 1.2% from the prior quarter.
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Analysis
WhiteHorse Finance (WHF) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at WhiteHorse Finance came in at $355.34 million, down 9.0% from FY2024.
- Total Liabilities has now declined for four consecutive years, with a four-year compound annual growth rate of -19.6% (FY2021 to FY2025).
- In earlier years, Total Liabilities was $390.69 million in FY2024 (-5.6%), $413.98 million in FY2023 (-10.8%), $464.09 million in FY2022 (-45.4%) and $850.67 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Total Liabilities in data going back to Q4 2021.
- Compared with a year earlier, Total Liabilities has declined for four straight quarters, with an average decline of 7.0% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2025 (growth of 1.4%); the worst was Q4 2022 (a decline of 45.4%).
- Per Business Quant data, WHF's Total Liabilities in the three quarters before Q2 2026 was $355.7 million (Q1 2026), $355.34 million (Q4 2025) and $360.76 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | 37.43 Bn |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 84.49 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 10.03 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | 4,215.85 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 10.31 Bn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 105.03 Bn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 1.82 Bn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 126.76 Bn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | 16.61 Bn |
| 10 | WhiteHorse Finance | 150.12 Mn | 113.30 Mn | - | 351.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 351.27 Mn |
| Mar 31, 2026 | 355.70 Mn |
| Dec 31, 2025 | 355.34 Mn |
| Sep 30, 2025 | 360.76 Mn |
| Jun 30, 2025 | 396.16 Mn |
| Mar 31, 2025 | 397.32 Mn |
| Dec 31, 2024 | 390.69 Mn |
| Sep 30, 2024 | 386.71 Mn |
| Jun 30, 2024 | 390.50 Mn |
| Mar 31, 2024 | 421.26 Mn |
| Dec 31, 2023 | 413.98 Mn |
| Sep 30, 2023 | 424.25 Mn |
| Jun 30, 2023 | 446.88 Mn |
| Mar 31, 2023 | 451.00 Mn |
| Dec 31, 2022 | 464.09 Mn |
| Sep 30, 2022 | 453.64 Mn |
| Dec 31, 2021 | 850.67 Mn |
API Access
WhiteHorse Finance Total Liabilities 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=total-liabilities&ticker=WHF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=WHF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();