Oxford Square Capital (OXSQ) Shares Outstanding (2021 - 2026)
Oxford Square Capital's Shares Outstanding came in at 99.27 million for Q2 2026, up 35.5% from 73.24 million a year earlier and up 12.5% from the prior quarter.
Oxford Square Capital (OXSQ) Shares Outstanding (2021 - 2026) Analysis & Trends
For FY2025, Oxford Square Capital's Shares Outstanding was 76.43 million, up 20.4% from FY2024.
- Shares Outstanding has increased in each of the last five years, with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 63.47 million in FY2024 (+17.7%), 53.92 million in FY2023 (+8.4%), 49.76 million in FY2022 (+0.3%) and 49.62 million in FY2021 (+0.3%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding in data going back to Q3 2021.
- Year-over-year, Shares Outstanding has increased for 16 consecutive quarters, with growth averaging 21.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding ranged from 0.3% (Q4 2022) to 35.5% (Q2 2026).
- Business Quant data shows OXSQ's Shares Outstanding at 88.28 million (Q1 2026), 76.43 million (Q4 2025) and 79.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | 2.84 Bn |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 1.12 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 445.06 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | 5.87 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 335.16 Mn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 331.30 Mn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 84.78 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 738.93 Mn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | 718.00 Mn |
| 10 | Oxford Square Capital | 134.47 Mn | 134.47 Mn | - | 99.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.27 Mn |
| Mar 31, 2026 | 88.28 Mn |
| Dec 31, 2025 | 76.43 Mn |
| Sep 30, 2025 | 79.36 Mn |
| Jun 30, 2025 | 73.24 Mn |
| Mar 31, 2025 | 69.98 Mn |
| Dec 31, 2024 | 63.47 Mn |
| Sep 30, 2024 | 64.80 Mn |
| Jun 30, 2024 | 60.65 Mn |
| Mar 31, 2024 | 59.64 Mn |
| Dec 31, 2023 | 53.92 Mn |
| Sep 30, 2023 | 56.76 Mn |
| Jun 30, 2023 | 50.54 Mn |
| Mar 31, 2023 | 49.86 Mn |
| Dec 31, 2022 | 49.76 Mn |
| Sep 30, 2022 | 49.77 Mn |
| Jun 30, 2022 | 49.74 Mn |
| Mar 31, 2022 | 49.70 Mn |
| Dec 31, 2021 | 49.62 Mn |
| Sep 30, 2021 | 49.63 Mn |
Oxford Square Capital Shares Outstanding 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=shares-outstanding&ticker=OXSQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "OXSQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding&ticker=OXSQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();