WhiteHorse Finance (WHF) Weighted Average Shares Outstanding (Diluted) (2020 - 2026)
WhiteHorse Finance's Weighted Average Shares Outstanding (Diluted) was 21.48 million in Q3 2026, down 7.6% from 23.24 million a year earlier and down 0.4% from the prior quarter.
WhiteHorse Finance (WHF) Weighted Average Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at WhiteHorse Finance came in at 23.17 million, down 0.3% from FY2024.
- Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 23.24 million in FY2024 (unchanged), 23.24 million in FY2023 (+0.1%), 23.23 million in FY2022 (+9.8%) and 21.15 million in FY2021 (+2.9%).
- The Q3 2026 figure marks the lowest quarterly Weighted Average Shares Outstanding (Diluted) since Q4 2021.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has declined for four straight quarters, with an average decline of 2.5% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding (Diluted) over five years was Q2 2022 (growth of 13.1%); the worst was Q3 2026 (a decline of 7.6%).
- Per Business Quant data, WHF's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 21.57 million (Q2 2026), 22.17 million (Q1 2026) and 23.17 million (Q4 2025).
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.48 Mn |
| Jun 30, 2026 | 21.57 Mn |
| Mar 31, 2026 | 22.17 Mn |
| Dec 31, 2025 | 23.17 Mn |
| Sep 30, 2025 | 23.24 Mn |
| Jun 30, 2025 | 23.24 Mn |
| Mar 31, 2025 | 23.24 Mn |
| Dec 31, 2024 | 23.24 Mn |
| Sep 30, 2024 | 23.24 Mn |
| Jun 30, 2024 | 23.24 Mn |
| Mar 31, 2024 | 23.24 Mn |
| Dec 31, 2023 | 23.24 Mn |
| Sep 30, 2023 | 23.24 Mn |
| Jun 30, 2023 | 23.24 Mn |
| Mar 31, 2023 | 23.24 Mn |
| Dec 31, 2022 | 23.23 Mn |
| Sep 30, 2022 | 23.24 Mn |
| Jun 30, 2022 | 23.24 Mn |
| Mar 31, 2022 | 23.19 Mn |
| Dec 31, 2021 | 21.15 Mn |
WhiteHorse Finance Weighted Average Shares Outstanding (Diluted) 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=weighted-average-shares-outstanding-diluted&ticker=WHF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding-diluted", "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=weighted-average-shares-outstanding-diluted&ticker=WHF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();