KKR Real Estate Finance Trust (KREF) Weighted Average Shares Outstanding (2015 - 2026)
KKR Real Estate Finance Trust (KREF) reported Weighted Average Shares Outstanding of 57.65 million for Q3 2026, down 12.5% from 65.88 million a year earlier and down 7.7% from the prior quarter.
KKR Real Estate Finance Trust (KREF) Weighted Average Shares Outstanding (2015 - 2026) Analysis & Trends
For FY2025, KKR Real Estate Finance Trust posted Weighted Average Shares Outstanding of 66.81 million, down 3.7% from FY2024.
- Weighted Average Shares Outstanding has a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 69.4 million in FY2024 (+0.3%), 69.18 million in FY2023 (+2.4%), 67.55 million in FY2022 (+19.4%) and 56.57 million in FY2021 (+1.0%).
- The Q3 2026 figure ranks as the lowest quarterly Weighted Average Shares Outstanding since Q4 2021.
- Year over year, Weighted Average Shares Outstanding has now declined in each of the last seven quarters, with an average decline of 4.8% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was Q3 2022 (growth of 24.7%); the low point was Q3 2026 (a decline of 12.5%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 62.46 million (Q2 2026), 64.67 million (Q1 2026) and 66.81 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 | KKR Real Estate Finance Trust | 308.52 Mn | -98.81 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 57.65 Mn |
| Jun 30, 2026 | 62.46 Mn |
| Mar 31, 2026 | 64.67 Mn |
| Dec 31, 2025 | 66.81 Mn |
| Sep 30, 2025 | 65.88 Mn |
| Jun 30, 2025 | 67.19 Mn |
| Mar 31, 2025 | 68.77 Mn |
| Dec 31, 2024 | 69.40 Mn |
| Sep 30, 2024 | 69.43 Mn |
| Jun 30, 2024 | 69.42 Mn |
| Mar 31, 2024 | 69.39 Mn |
| Dec 31, 2023 | 69.18 Mn |
| Sep 30, 2023 | 69.12 Mn |
| Jun 30, 2023 | 69.12 Mn |
| Mar 31, 2023 | 69.10 Mn |
| Dec 31, 2022 | 67.55 Mn |
| Sep 30, 2022 | 69.38 Mn |
| Jun 30, 2022 | 68.55 Mn |
| Mar 31, 2022 | 63.09 Mn |
| Dec 31, 2021 | 56.57 Mn |
KKR Real Estate Finance Trust Weighted Average 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=weighted-average-shares-outstanding&ticker=KREF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "ticker": "KREF", "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&ticker=KREF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();